Debbie Johnson, Aerial Information Systems, Inc., General Manager 20200225 vector digital data Reports link: https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=62826 http://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=62825 https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=131751 https://www.wildlife.ca.gov/Data/BIOS https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/700_799/ds735.zip Aerial Information Systems (AIS) and the California Department of Fish and Wildlife (CDFW) Vegetation Classification and Mapping Program (VegCAMP) with assistance from the California Native Plant Society (CNPS) created a fine-scale vegetation map of portions of the Mojave and Colorado Deserts in California. Approximately six million acres spanning desert portions of Inyo, Kern, Los Angeles, San Bernardino, Riverside, and Imperial Counties were mapped between 2011 and 2012. In addition, mapping of 95,981acres within a portion of Rice and Vidal Valleys in the Colorado Desert portion of the Sonoran Desert was completed by AIS in 2013‐2014. The maps were primarily produced to support the Desert Renewable Energy Conservation Plan (DRECP) by helping planners more accurately identify high quality habitat and rare communities as they consider renewable energy sources and conservation opportunities. Previous vegetation maps of the area were either large scale and generalized or they were detailed but covered a limited extent. Between 2014 and 2016, as an extension to supplement those mapping efforts, AIS was tasked to create a fine‐scale vegetation map of 2,195,415 acres of desert in Inyo, San Bernardino, Riverside, and Imperial Counties in southern California. Areas mapped include the eastern and central portions of the Mojave Desert as well as the Lower Colorado Valley, also referred to as the Colorado Desert, and the Arizona Upland subdivisions of the Sonoran Desert.The vegetation classification follows Federal Geographic Data Committee (FGDC) and National Vegetation Classification Standards (NVCS). The classification is based on previous survey and classification work. The map was produced applying heads-up digitizing techniques using a base of true-color and color infrared 2010, 2014, or 2016 one-meter National Agricultural Imagery Program (NAIP) imagery in conjunction with ancillary data and imagery sources. Map polygons were assessed for Vegetation Type, Percent Cover, Exotics, Development Disturbance, and other attributes. The minimum mapping unit (MMU) is 10 acres; exceptions are made for wetlands and certain wash types (which were mapped to a one or five acre MMU) and areas characterized as Land Use polygons (which were mapped to a 2.5 acre MMU). Field reconnaissance and accuracy assessment enhanced map quality. A total of 68,992 map polygons representing 154 vegetation map classes were developed. For detailed information please refer to the following reports: Menke, J., E. Reyes, A. Glass, D. Johnson, and J. Reyes. 2013. 2013 California Vegetation Map in Support of the Desert Renewable Energy Conservation Plan. Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. Aerial Information Systems, Inc., Redlands, CA. Vegetation Classification and Mapping Program (VegCAMP). 2013. 2013 California desert vegetation map and accuracy assessment in support of the Desert Renewable Energy Conservation Plan. Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. California Department of Fish and Wildlife, Sacramento, CA.Menke, J., E. Reyes, A. Hepburn, D. Johnson, and J. Reyes. 2016. California Vegetation Map in Support of the Desert Renewable Energy Conservation Plan (2014-2016 Additions). Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. Aerial Information Systems, Inc., Redlands, CA. The purpose of the vegetation map is to assist with the Desert Renewable Energy Conservation Plan (DRECP). This map will provide planners with detailed information to help identify high quality habitat and rare communities. Although the primary purpose of the map is to document vegetation communities, it also provides structural data such as herbaceous, shrub and tree cover, and information about the level of disturbance within the vegetation stand. These are important habitat factors for species covered in the DRECP, including the Mojave Ground Squirrel and Desert Tortoise. Please read the attribute descriptions for caveats. Classification The map classification is based largely on work done in the area for previous and ongoing projects: Vegetation Mapping of Anza-Borrego Desert State Park and Environs (Keeler-Wolf et al. 1998), the Mojave Desert Ecosystem Programs Vegetation Database (Thomas et al. 2004), Vegetation of Joshua Tree National Park (unpublished draft), and Vegetation Classification and Mapping at Lake Mead National Recreation Area, Mojave National Preserve and Death Valley National Park (in progress). VegCAMP collected an additional 98 Rapid Assessment vegetation field surveys in 2011 using the field form and protocol in Appendix A. Additional mapping classes are based on those 98 unclassified surveys; some of these are considered provisional until better understood (for example, the Ericameria cooperi Provisional Alliance). Types from all of these sources were compiled and placed within the NVCS hierarchy as interpreted by VegCAMP in March of 2011. See Appendices B and C for the classification hierarchy and field key to vegetation types, respectively. Delineation Rules Lines are drawn both to distinguish between types (MapUnits) and to indicate vegetation cover breaks within a type. The following minimum mapping units are observed while making these delineations: 1 acre for wetlands and certain wash types, 2.5 acres for areas characterized as human land use, and 10 acres for all other polygons. An additional guideline establishes the approximate minimum width of a polygon: washes and riparian stands must be 90 ft. wide and upland vegetation must be 330 ft. wide. The appropriate MMUs must still be observed. This guideline isn't meant to exclude polygons where a small section falls below the minimum width, as long as the greater portion of the polygon meets the stated criteria. Land use, including towns, mining, agriculture, and individual settlements, was handled using a special set of rules. These were designed to separate larger urban tracts as a whole, and to maintain the ability to have a vegetation type on a lightly used or re-vegetating area. Reconnaissance Between February 2011 and March 2012, AIS and VegCAMP staff conducted field trips throughout the mapping area with 1-2 crews per trip to perform reconnaissance of vegetation types. This reconnaissance allowed better matching of the vegetation with the signatures seen on the imagery. Dr. Todd Keeler-Wolf of VegCAMP accompanied AIS on all but one of their trips and thus assured better calibration among reconnaissance teams. Additionally, California Native Plant Society (CNPS) staff attended two of the reconnaissance trips to better understand the classification in the area for which they were contracted to conduct an accuracy assessment of the map (discussed below). During reconnaissance, crews traversed the study areas in vehicles, stopping to assess the vegetation types at various points. GPS points were taken and observations were recorded for vegetation type and cover at that point. Observations were also made for vegetation seen at a distance, with the point of observation determined using a compass and laser rangefinder. Points were frequently taken to mark the transition from one vegetation type to another, to help the photointerpreter determine the location of the edges of stands. Sometimes one observation contained information about two or more stands, and other times the same stand was assessed in multiple places. Approximately 6600 reconnaissance observations were made. See Menke et al. (2013) for details on AISs reconnaissance trips and a map of the locations of all reconnaissance points. The form used by VegCAMP staff during reconnaissance surveys can be found in Appendix E. Accuracy Assessment From October 2011 through December 2012, the accuracy of mapped polygons was assessed at 3,078 point locations in the field throughout the mapping area; these are herein referred to as AAPs. The AAPs were stand-based, that is, both the type and the extent of the polygon were evaluated when possible. When a mapped polygon could be divided due to the presence of multiple types within the given MMU standards, an assessment was done for each type. All of the cover values and disturbance attributes except roadedness were assessed when possible. In the office, data from the field AAP forms were entered into an Access database that allowed the vegetation type recorded by the photointerpreter (PI) to be scored using the field surveys. Cover and disturbance attributes were not scored, but were provided as feedback to the PIs. If the field crews could not identify the vegetation type based on the field key, senior VegCAMP or CNPS staff assigned the correct type, when possible, based on the species covers recorded, any additional notes taken by the field crews, and field photos. All field calls were reviewed and a "Final call" was recorded in the database when possible. A fuzzy logic method was used to score each AAP, rather than simply denoting whether a sample was correct or incorrect (Gopal and Woodcock 1994; Congalton and Green 1999; Foody 2002; Hagen 2003; Metzler and Sader 2005). Each field-verified polygon was scored according to a set of decision rules, with a total of 5 possible points for each. Scores were summed for each vegetation type, then divided by the total possible score and multiplied by 100 for a percent accuracy. The scores were provided back to AIS or the VegCAMP mapper after each Module was completed so that specific and systematic errors could be corrected. This modular approach increased the final accuracy of the map product beyond the scores reported here. The overall accuracy assessment rating for the final vegetation map was 84.59 percent. The complete report for this dataset is available at: http://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=62825. This report covers the project purpose, intended map uses, and accuracy assessment of the map as conducted by VegCAMP and the California Native Plant Society. A separate report by AIS (Menke et al. 2013) discusses the ecological setting in the mapping area and provides a thorough discussion of mapping standards and methods. The complete report is available here: http://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=62826. Their report also includes descriptions, photointerpretation signatures, distributions, elevation ranges, and ground photos of the vegetation types mapped. 2014 Update This update included an additional 95,980 mapped acres in the Rice Valley. The Rice Valley addition was completed by AIS in 2013-2014 using the same vegetation classification and delineation rules as the original map. The map was produced using heads up digitizing on a base of true-color and color infrared 2010 1-meter National Agricultural Imagery Program (NAIP) imagery with supplemental imagery from ESRI ArcGIS Online World Imagery. Accuracy assessments were done on the Rice Valley addition by CDFW staff in March 2014, with a resulting accuracy assessment score of 96 percent. 2016 Update This update includes an additional 2,195,415 mapped acres of desert in Inyo, San Bernardino, Riverside, and Imperial Counties in southern California. The map was completed by AIS between 2014 and 2016 using the same vegetation classification and delineation rules as the original map. The map was produced applying heads‐up digitizing techniques using a base of 2014 true‐color and color infrared one‐meter National Agricultural Imagery Program (NAIP) imagery in conjunction with ancillary data and imagery sources. Field reconnaissance and accuracy assessment enhanced map quality. A total of 88 vegetation classes were mapped. The overall accuracy assessment rating for the final vegetation map was 91.90 percent. The complete report for the 2016 update is available at: https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=131751. 2017 Update This update includes additional mapped acres of the Mecca Hills and Orocopia Mountains Conservation Area in the Coachella Valley of Riverside County. The map was completed by the University of California, Riverside Center for Conservation Biology in 2015 for the Coachella Valley Multiple Species Habitat Conservation Plan. The classification is based on previous survey and classification work done by CDFW's Vegetation Classification and Mapping Program and AIS for the Desert Renewable Energy Conservation Plan, and by the National Park Service for Joshua Tree National Park. The map was produced by applying heads‐up digitizing techniques using a base of true‐color and color infrared 2013 six-inch imagery from the National Agricultural Imagery Program (NAIP) and local flights provided by the Coachella Valley Conservation Commission. The Mecca Hills and Orocopia Mountains vegetation map was edgematched to the larger DRECP vegetation map by VegCAMP staff. As a result, some polygons in the original Mecca Hills and Orocopia Mountains map were assigned new vegetation types. The Mecca Hills and Orocopia Mountains vegetation map was mapped to both the alliance and association levels. To conform to the larger DRECP map (which was mapped at the alliance level) all associations were translated to alliances. The original Mecca Mecca Hills and Orocopia Mountains Vegetation Map is available on BIOS (https://map.dfg.ca.gov/bios/) The complete report for the Mecca Hills and Orocopia Mountains Vegetation Map is available at: http://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=138028 2019 Update This update includes mapped acres near the Salton Sea, for the purpose of mapping Flat Tail Horned Lizard habitat. It also includes mapped acres further east, near Picacho. Mapping was completed by Aerial Information Systems, Inc. and the map was appended to the existing DRECP vegetation map by VegCAMP staff. The overall accuracy rating for the vegetation map in the Salton Sea area was 88.28%. Complete Unknown -118.823919 -114.014171 35.943367 32.559536 None vegetation, Mojave Desert, Desert Renewable Energy Conservation Plan, vegetation classification, photo interpretation, renewble energy, desert, biota, environment, ImageryBaseMapsEarthCover ISO 19115 Topic Categories biota environment ISO 19115 Category Inyo County, Kern County, Los Angeles County, San Bernardino County, Riverside County, Imperial County None CDFW appreciates learning how our datasets are being used so that we can leverage support for classifying and mapping new areas and let users know of any updates. License: This work is licensed under Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). Using the citation standards recommended for BIOS datasets (https://www.wildlife.ca.gov/Data/BIOS/Citing-BIOS) satisfies the attribution requirements of this license.Disclaimer: The State makes no claims, promises, or guarantees about the accuracy, completeness, reliability, or adequacy of these data and expressly disclaims liability for errors and omissions in these data. No warranty of any kind, implied, expressed, or statutory, including but not limited to the warranties of non-infringement of third party rights, title, merchantability, fitness for a particular purpose, and freedom from computer virus, is given with respect to these data. Aerial Information Systems, Inc. Debbie Johnson General Manager Bureau of Land Management Christina Lund clund@blm.gov CDFW Vegetation Classification and Mapping Program VegCAMP (Vegetation Classification and Mapping Program) Vegetation Classification and Mapping Program Lead mailing and physical

1700 9th Street, 4th Floor

Sacramento CA 95811 (916) 324-9765 VegCAMP@wildlife.ca.gov CDFW Vegetation Classification and Mapping Program VegCAMP (Vegetation Classification and Mapping Program) Vegetation Classification and Mapping Program Lead mailing and physical

1700 9th Street, 4th Floor

Sacramento CA 95811 (916) 324-9765 VegCAMP@wildlife.ca.gov Data was produced by Aerial Information Systems, CDFW's Biogeographic Data Branch and the University of California, Riverside Center for Conservation Biology. Version 6.2 (Build 9200) ; Esri ArcGIS 10.5.1.7333 Vector GT-polygon composed of chains 81613 NAD 1983 California Teale Albers 34.0 40.5 -120.0 0.0 0.0 -4000000.0 coordinate pair 0.0001 0.0001 meter D North American 1983 GRS 1980 6378137.0 298.257222101 ds735 OBJECTID Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Feature geometry. Esri Coordinates defining the features. NVCSName The standardized name of the vegetation description used in the 2008 National Vegetation Classification System (see http://usnvc.org/). Since the NVCS does not have categories for human land use or otherwise unvegetated land, those descriptions were drawn from the California Wildlife Habitat Relationship. http://usnvc.org/ NVCSLevel The standardized level of the vegetation description used in the 2008 National Vegetation Classification System (see http://usnvc.org/). http://usnvc.org/ MapClass The finest level of vegetation type mapped (alliance, association, group or macrogroup); or land use for polygons that are not natural vegetation, per the mapping classification. Referred to as Map Unit in the mapping report. Menke, J., E. Reyes, A. Glass, D. Johnson, and J. Reyes. 2013. 2013 California Vegetation Map in Support of the Desert Renewable Energy Conservation Plan. Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. Aerial Information Systems, Inc., Redlands, CA.; Menke, J., E. Reyes, A. Hepburn, D. Johnson, and J. Reyes. 2016. California Vegetation Map in Support of the Desert Renewable Energy Conservation Plan (2014-2016 Additions). Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. Aerial Information Systems, Inc., Redlands, CA. MapClassCode The code for a vegetation alliance or group or an unvegetated type like playa; or a code for a land use for polygons that are not natural vegetation (please see the classification list and key). Referred to as Map Unit in the mapping report. Codes correspond to vegetation types as follows: 1111 Quercus douglasii 1112 Quercus lobata 1113 Quercus chrysolepis 1114 Quercus wislizeni 1116 Aesculus californica 1117 Quercus agrifolia 1121 Pinus sabiniana 1122 Juniperus californica 1211 Pseudotsuga macrocarpa 1213 Pinus jeffreyi Alliance 1311 Pinus monophylla 1410 SW NA rip. evergrn and decid woodland Gp 1411 Populus fremontii 1412 Salix laevigata 1413 Salix gooddingii 1414 Platanus racemosa 1415 Washingtonia filifera 1416 Salix gooddingii - Salix laevigata Alliance 1422 Baccharis salicifolia 1423 Baccharis sergiloides 1424 Salix exigua 1425 Forestiera pubescens 1426 Sambucus nigra 1427 Salix lasiolepis 1428 Vitis californica – Vitis girdiana Alliance 1431 Arundo donax 1432 Tamarix spp. 1433 Saccharum ravennae 1511 Alnus rhombifolia 1611 Eucalyptus spp. - Ailanthus altissima - Robinia pseudoacacia 2111 Arctostaphylos glauca 2112 Adenostoma fasciculatum 2113 Ceanothus crassifolius 2114 Fremontodendron californicum 2115 Adenostoma fasciculatum - Salvia mellifera 2116 Ceanothus cuneatus 2121 Arctostaphylos glandulosa 2122 Ceanothus leucodermis 2131 Cercocarpus montanus 2132 Quercus berberidifolia 2133 Quercus berberidifolia - Adenostoma fasciculatum 2134 Prunus ilicifolia 2214 Ericameria linearifolia - Isomeris arborea 2215 Eriodictyon (crassifolium, trichocalyx) 2218 Corethrogyne filaginifolia 2221 Eriogonum fasciculatum 2222 Eriogonum wrightii 2300 California Annual and Perennial Grassland Macrogroup 2305 California annual and perennial grassland Mapping Unit (Native component) 2310 California annual forb/grass vegetation Group 2311 Eschscholzia (californica) 2312 Amsinckia (menziesii, tessellata) 2313 Lasthenia californica - Plantago erecta - Vulpia microstachys 2321 Nassella cernua 2330 Mediterranean California naturalized annual and perennial grassland Group 2331 Brassica nigra and other mustards 3211 Ribes quercetorum 3311 Ceanothus greggii 3312 Quercus john-tuckeri 3313 Quercus palmeri 3314 Quercus cornelius-mulleri 3316 Ceanothus greggii – Fremontodendron californicum Alliance 3400 Western North American Freshwater Marsh Macrogroup 3410 Arid West freshwater emergent marsh Group 3411 Phragmites australis 3412 Schoenoplectus (acutus, californicus) 3414 Schoenoplectus californicus 3415 Typha (angustifolia, domingensis, latifolia) 3416 Typha (angustifolia, domingensis, latifolia) Alliance 3510 Californian mixed annual/perennial freshwater vernal pool/swale/plain bottomland Group 3600 West NA Wet Mdw & Low Shrb Carr MG 3610 Californian warm temperate marsh/seep Gp 3611 Juncus arcticus (var. balticus, mexicanus) 3700 Warm Semi-Desert/Mediterranean Alkali-Saline Wetland Macrogroup 3712 Sporobolus airoides 3713 Anemopsis californica 3714 Juncus cooperi 3715 Bolboschoenus maritimus, Schoenoplectus americanus 3721 Allenrolfea occidentalis 3722 Atriplex lentiformis 3723 Atriplex spinifera 3724 Frankenia salina 3725 Suaeda moquinii 3726 Distichlis spicata 3728 Isocoma acradenia 3729 Atriplex parryi 3811 Frangula californica 4110 Lower bajada and fan Mojavean-Sonoran desert scrub Group 4111 Ambrosia dumosa 4113 Atriplex polycarpa 4114 Encelia farinosa 4115 Larrea tridentata - Ambrosia dumosa 4118 Larrea tridentata - Encelia farinosa 4119 Larrea tridentata 4122 Pleuraphis rigida 4124 Cylindropuntia bigelovii 4151 Viguiera parishii 4152 Parkinsonia microphylla 4211 Ephedra californica 4212 Lepidospartum squamatum 4213 Ericameria paniculata 4214 Prunus fasciculata 4215 Brickellia incana 4216 Ambrosia salsola 4217 Artemisia tridentata ssp. parishii 4218 Bebbia juncea 4221 Pluchea sericea 4222 Prosopis glandulosa 4224 Chilopsis linearis 4225 Psorothamnus spinosus 4226 Acacia greggii 4227 Parkinsonia florida - Olneya tesota 4228 Hyptis emoryi 4229 Castela emoryi 5111 Atriplex canescens 5112 Atriplex confertifolia 5210 Intermontane seral shrubland Group 5211 Encelia (actoni, virginensis) 5212 Ericameria nauseosa 5214 Gutierrezia sarothrae 5215 Ericameria cooperi 5216 Dendromecon rigida 5311 Artemisia tridentata 5410 Intermontane deep or well-drained soil scrub Group 5411 Grayia spinosa 5412 Krascheninnikovia lanata 5413 Ephedra nevadensis 5414 Lycium andersonii 5415 Salazaria mexicana 5416 Ericameria teretifolia 5417 Ephedra viridis 5418 Lycium cooperi 5419 Ephedra nevadensis - Lycium andersonii - Grayia spinosa 5420 Mojave and Great Basin upper bajada and toeslope Group 5421 Coleogyne ramosissima 5422 Purshia tridentata 5423 Yucca brevifolia 5424 Yucca schidigera 5425 Menodora spinescens 5430 Southern Great Basin semi-desert grassland Gp 5431 Achnatherum speciosum 5433 Achnatherum hymenoides 5440 Intermountain shallow/calcareous soil scrub Group 5441 Cercocarpus ledifolius 5442 Purshia stansburiana 5511 Sarcobatus vermiculatus 6110 North American warm desert bedrock cliff and outcrop Group 6111 Atriplex hymenelytra 6112 Ephedra funerea 6113 Mud Hills sparsely vegetated ephemeral herbs 6114 Unvegetated wash and river bottom 6115 Massive sparsely vegetated rock outcrop 6116 Sparsely vegetated playa (Ephemeral annuals) 6117 Chorizanthe rigida - Geraea canescens Desert Pavement Sparsely Vegetated 6118 Peucephyllum schottii 6120 North American warm desert dunes and sand flats Group 6121 Dicoria canescens - Abronia villosa 6122 Panicum urvilleanum 6123 Wislizenia refracta 7211 Ambrosia salsola - Bebbia juncea Alliance 7222 Chilopsis linearis - Psorothamnus spinosus Alliance 9001 Atriplex canescens - Atriplex polycarpa Shrubland Provisional Alliance 9002 Psorothamnus schottii Provisional Alliance 9003 Salvia greatae Provisional Alliance 9004 Xylorhiza cognata Provisional Alliance 9200 Agriculture 9210 Woody Agriculture (orchards, vineyards) 9220 Non-woody Row and Field Agriculture 9300 Built-up and Urban Disturbance 9310 Urban Window 9320 Anthropogenic Areas of Little or No Vegetation 9400 Restoration 9500 Exotic Trees 9701 Sparsely Vegetated Recent Burned Areas 9800 Water 9801 Perennial Stream Channel 9803 Small Earthen-dammed Ponds and Naturally Occurring Lakes 9804 Major Canals and Aqueducts 9805 Water Impoundment Feature Menke, J., E. Reyes, A. Glass, D. Johnson, and J. Reyes. 2013. 2013 California Vegetation Map in Support of the Desert Renewable Energy Conservation Plan. Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. Aerial Information Systems, Inc., Redlands, CA.; https://nrmsecure.dfg.ca.gov/FileHandler.ashx?DocumentID=47996 and Menke, J., E. Reyes, A. Hepburn, D. Johnson, and J. Reyes. 2016. California Vegetation Map in Support of the Desert Renewable Energy Conservation Plan (2014-2016 Additions). Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. Aerial Information Systems, Inc., Redlands, CA. ConCov Code for the classes of percent bird’s-eye cover of conifers within a vegetation stand. Percent cover, also referred to as “density,” is a quantitative estimate of the aerial extent of the living plants for each vegetation layer within a stand. Cover is the primary metric used to quantify the importance or abundance of a life form and/or species. It is important to note that the photointerpreters could only accurately quantify the vegetation that is visible on the aerial imagery. Therefore, “bird’s eye” total cover was mapped, meaning that the cover of understory layers which were obscured by overstory layers was not included. For this reason, total cover for shrubs and herbaceous plants may be underestimated if their extent was hidden under the crowns of trees and may differ from assessments done on the ground by field crews. Menke, J., E. Reyes, A. Glass, D. Johnson, and J. Reyes. 2013. 2013 California Vegetation Map in Support of the Desert Renewable Energy Conservation Plan. Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. Aerial Information Systems, Inc., Redlands, CA. and Vegetation Classification and Mapping Program (VegCAMP). 2013. 2013 California desert vegetation map and accuracy assessment in support of the Desert Renewable Energy Conservation Plan. Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. California Department of Fish and Wildlife, Sacramento, CA. 9 Not Applicable/Not Assessed Vegetative percent cover classification 0 None or Not Observable Vegetative percent cover classification 1 >0-1% Vegetative percent cover classification 2 >1-5% Vegetative percent cover classification 3 >5-15% Vegetative percent cover classification 4 >15-25% Vegetative percent cover classification 5 >25-50% Vegetative percent cover classification 6 >50-75% Vegetative percent cover classification 7 >75-100% Vegetative percent cover classification HdwdCov Code for the classes of percent bird’s-eye cover of hardwoods within a vegetation stand. Percent cover, also referred to as “density,” is a quantitative estimate of the aerial extent of the living plants for each vegetation layer within a stand. Cover is the primary metric used to quantify the importance or abundance of a life form and/or species. It is important to note that the photointerpreters could only accurately quantify the vegetation that is visible on the aerial imagery. Therefore, “bird’s eye” total cover was mapped, meaning that the cover of understory layers which were obscured by overstory layers was not included. For this reason, total cover for shrubs and herbaceous plants may be underestimated if their extent was hidden under the crowns of trees and may differ from assessments done on the ground by field crews. Menke, J., E. Reyes, A. Glass, D. Johnson, and J. Reyes. 2013. 2013 California Vegetation Map in Support of the Desert Renewable Energy Conservation Plan. Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. Aerial Information Systems, Inc., Redlands, CA. and Vegetation Classification and Mapping Program (VegCAMP). 2013. 2013 California desert vegetation map and accuracy assessment in support of the Desert Renewable Energy Conservation Plan. Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. California Department of Fish and Wildlife, Sacramento, CA. 9 Not Applicable/Not Assessed Vegetative percent cover classification 0 None or Not Observable Vegetative percent cover classification 1 >0-1% Vegetative percent cover classification 2 >1-5% Vegetative percent cover classification 3 >5-15% Vegetative percent cover classification 4 >15-25% Vegetative percent cover classification 5 >25-50% Vegetative percent cover classification 6 >50-75% Vegetative percent cover classification 7 >75-100% Vegetative percent cover classification YUBRCov Code for the classes of percent bird’s-eye cover of Yucca brevifolia within a vegetation stand. Percent cover, also referred to as “density,” is a quantitative estimate of the aerial extent of the living plants for each vegetation layer within a stand. Cover is the primary metric used to quantify the importance or abundance of a life form and/or species. It is important to note that the photointerpreters could only accurately quantify the vegetation that is visible on the aerial imagery. Therefore, “bird’s eye” total cover was mapped, meaning that the cover of understory layers which were obscured by overstory layers was not included. For this reason, total cover for shrubs and herbaceous plants may be underestimated if their extent was hidden under the crowns of trees and may differ from assessments done on the ground by field crews. Menke, J., E. Reyes, A. Glass, D. Johnson, and J. Reyes. 2013. 2013 California Vegetation Map in Support of the Desert Renewable Energy Conservation Plan. Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. Aerial Information Systems, Inc., Redlands, CA. 9 Not Applilcable/Not Assigned Joshua tree percent cover classification 0 None or Not Observable Joshua tree percent cover classification 1 <0-1% Joshua tree percent cover classification 2 >1-5% Joshua tree percent cover classification 3 >5% Joshua tree percent cover classification TreeCov Code for the classes of percent bird’s-eye cover of trees (including Joshua Trees) within a vegetation stand. Percent cover, also referred to as “density,” is a quantitative estimate of the aerial extent of the living plants for each vegetation layer within a stand. Cover is the primary metric used to quantify the importance or abundance of a life form and/or species. It is important to note that the photointerpreters could only accurately quantify the vegetation that is visible on the aerial imagery. Therefore, “bird’s eye” total cover was mapped, meaning that the cover of understory layers which were obscured by overstory layers was not included. For this reason, total cover for shrubs and herbaceous plants may be underestimated if their extent was hidden under the crowns of trees and may differ from assessments done on the ground by field crews. Menke, J., E. Reyes, A. Glass, D. Johnson, and J. Reyes. 2013. 2013 California Vegetation Map in Support of the Desert Renewable Energy Conservation Plan. Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. Aerial Information Systems, Inc., Redlands, CA. and Vegetation Classification and Mapping Program (VegCAMP). 2013. 2013 California desert vegetation map and accuracy assessment in support of the Desert Renewable Energy Conservation Plan. Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. California Department of Fish and Wildlife, Sacramento, CA. 9 Not Applicable/Not Assessed Vegetative percent cover classification 0 None or Not Observable Vegetative percent cover classification 1 >0-1% Vegetative percent cover classification 2 >1-5% Vegetative percent cover classification 3 >5-15% Vegetative percent cover classification 4 >15-25% Vegetative percent cover classification 5 >25-50% Vegetative percent cover classification 6 >50-75% Vegetative percent cover classification 7 >75-100% Vegetative percent cover classification ShrubCov Code for the classes of percent bird’s-eye cover of shrubs within a vegetation stand. Percent cover, also referred to as “density,” is a quantitative estimate of the aerial extent of the living plants for each vegetation layer within a stand. Cover is the primary metric used to quantify the importance or abundance of a life form and/or species. It is important to note that the photointerpreters could only accurately quantify the vegetation that is visible on the aerial imagery. Therefore, “bird’s eye” total cover was mapped, meaning that the cover of understory layers which were obscured by overstory layers was not included. For this reason, total cover for shrubs and herbaceous plants may be underestimated if their extent was hidden under the crowns of trees and may differ from assessments done on the ground by field crews. Menke, J., E. Reyes, A. Glass, D. Johnson, and J. Reyes. 2013. 2013 California Vegetation Map in Support of the Desert Renewable Energy Conservation Plan. Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. Aerial Information Systems, Inc., Redlands, CA. and Vegetation Classification and Mapping Program (VegCAMP). 2013. 2013 California desert vegetation map and accuracy assessment in support of the Desert Renewable Energy Conservation Plan. Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. California Department of Fish and Wildlife, Sacramento, CA. 9 Not Applicable/Not Assigned Vegetative percent cover classification 0 None or Not observable Vegetative percent cover classification 1 >0-1% Vegetative percent cover classification 2 >1-5% Vegetative percent cover classification 3 >5-15% Vegetative percent cover classification 4 >15-25% Vegetative percent cover classification 5 >25-50% Vegetative percent cover classification 6 >50-75% Vegetative percent cover classification 7 >75-100% Vegetative percent cover classification HerbCov Code for the classes of percent bird’s-eye cover of herbaceous plants within a vegetation stand.Percent cover, also referred to as “density,” is a quantitative estimate of the aerial extent of the living plants for each vegetation layer within a stand. Cover is the primary metric used to quantify the importance or abundance of a life form and/or species. It is important to note that the photointerpreters could only accurately quantify the vegetation that is visible on the aerial imagery. Therefore, “bird’s eye” total cover was mapped, meaning that the cover of understory layers which were obscured by overstory layers was not included. For this reason, total cover for shrubs and herbaceous plants may be underestimated if their extent was hidden under the crowns of trees and may differ from assessments done on the ground by field crews. Menke, J., E. Reyes, A. Glass, D. Johnson, and J. Reyes. 2013. 2013 California Vegetation Map in Support of the Desert Renewable Energy Conservation Plan. Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. Aerial Information Systems, Inc., Redlands, CA. and Vegetation Classification and Mapping Program (VegCAMP). 2013. 2013 California desert vegetation map and accuracy assessment in support of the Desert Renewable Energy Conservation Plan. Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. California Department of Fish and Wildlife, Sacramento, CA. 9 Not Applicable/Not Assigned Herbaceous percent cover classification 1 0-2% Herbaceous percent cover classification 2 >2-15% Herbaceous percent cover classification 3 >15-40% Herbaceous percent cover classification 4 >40-100% Herbaceous percent cover classification Exotics Code for the level of impact by exotic invasive species.Photointerpreters assigned each existing polygon a code reflecting the level of impact by exotic invasive species such as Mediterranean grass (Schismus spp.) or tamarisk (Tamarix spp.). Menke, J., E. Reyes, A. Glass, D. Johnson, and J. Reyes. 2013. 2013 California Vegetation Map in Support of the Desert Renewable Energy Conservation Plan. Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. Aerial Information Systems, Inc., Redlands, CA. 9 Not Applicable/Not Assigned Exotics code classification 0 None/Not Observable Exotics code classification 1 Low - visible, cover not significant Exotics code classification 2 Moderate - significant cover Exotics code classification 3 High - stand characterized by exotics Exotics code classification Roadedness Code for the level of impact by paved and unpaved roads, Roadedness Disturbance is defined as the level of impact in a polygon by paved and unpaved roads, off highway vehicle (OHV) trails, railroads, berms, and covered aqueduct. Impact is defined by the proportion of any polygon that is contiguously without these features. The Roadedness Disturbance code reflects the combination of the amount of roads in the polygon and the roads’ effect on the contiguous space that has no roads – that is, where the roads fall within the polygon. This definition of roadedness has the advantage of helping to identify roadless areas, but the disadvantage of being scale independent. For example, any polygon with a road more or less bisecting it will be assigned a code of Moderate, regardless of size. This means that a very large polygon with a “Moderate” Roadedness Disturbance code might still contain an extensive roadless area. Menke, J., E. Reyes, A. Glass, D. Johnson, and J. Reyes. 2013. 2013 California Vegetation Map in Support of the Desert Renewable Energy Conservation Plan. Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. Aerial Information Systems, Inc., Redlands, CA. 9 Not Applicable/Not Assessed Roadedness Disturbance code classification 0 None/Not Observable Roadedness Disturbance code classification 1 Low - >2/3 contiguous area roadless Roadedness Disturbance code classification 2 Moderate - 1/3 to 2/3 contiguous area roadless Roadedness Disturbance code classification 3 High - <1/3 contiguous area roadless Roadedness Disturbance code classification Development Development Disturbance accounts for the level of impact by structures and settlements that are smaller than the MMU criteria for land use. Structures may include buildings, tanks, trailers, metal electrical towers, communication towers, and utility and mining structures. This attribute includes paved parking lots and collapsed structures. Note that it also includes debris such as junked vehicles, major trash dumping, etc., the removal of which could result in a vegetation stand that could be in very good to pristine ecological condition. Disturbance that does not involve these types of features is accounted for in Anthropogenically Altered Disturbance. Menke, J., E. Reyes, A. Glass, D. Johnson, and J. Reyes. 2013. 2013 California Vegetation Map in Support of the Desert Renewable Energy Conservation Plan. Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. Aerial Information Systems, Inc., Redlands, CA. 9 Not Applicable/Not Assigned Development Disturbance code classification 0 None/Not Observable Development Disturbance code classification 1 Low - <2% of polygon affected Development Disturbance code classification 2 Moderate - 2-5% of polygon affected Development Disturbance code classification 3 High - >5% of polygon affected Development Disturbance code classification AnthroAlt This indicates the level of impact on vegetation through tillage, scraping, grazing, mining, etc. Disturbance from structures, pavement, or debris is not included here but is addressed in Development Disturbance. Anthropogenically Altered Disturbance captures past disturbances in the landscape that are still visible through their impact on vegetation, but do not have enough of an impact to change the vegetation type or percent cover range. Menke, J., E. Reyes, A. Glass, D. Johnson, and J. Reyes. 2013. 2013 California Vegetation Map in Support of the Desert Renewable Energy Conservation Plan. Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. Aerial Information Systems, Inc., Redlands, CA. 9 Not Applicable/NotAssigned Anthropogenically Altered Disturbance code classification 0 None/Not Observable Anthropogenically Altered Disturbance code classification 1 Low - <33% of polygon affected/veg cover not impacted Anthropogenically Altered Disturbance code classification 2 Moderate - 33-66% of polygon affected Anthropogenically Altered Disturbance code classification 3 High - >66% of polygon affected Anthropogenically Altered Disturbance code classification HydroMod Is the vegetation stand modified by a hydrologic impediment? This is used to tag stands of desert vegetation that have their extent directly impacted by restricted sheet flow or active channel flow crossing under a road, railroad, levee, etc. Examples include polygons where: 1) washes have expanded on the upslope side or contracted on the downslope side of the impediment (typically a berm or levee), or 2) railroad or highway berms have eliminated natural sheet flow downslope across alluvial fans and bajadas, or other slopes. The effect must create a line-forming break such as in vegetation type, shrub cover, tree cover, or herbaceous cover. The modifier is only attributed to the polygon down-slope of the impediment. Drainage ditches conveying flow off the side of a road (though often visible on imagery) are not considered unless they make a line-forming break in the vegetation. Menke, J., E. Reyes, A. Glass, D. Johnson, and J. Reyes. 2013. 2013 California Vegetation Map in Support of the Desert Renewable Energy Conservation Plan. Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. Aerial Information Systems, Inc., Redlands, CA. 9 Not Applicable/Not Assigned Altered Hydrologic Regime Modifier code classification 0 Not Affected Altered Hydrologic Regime Modifier code classification 1 Affected Altered Hydrologic Regime Modifier code classification Notes Text field for additional information. LandUse Land use is the human use of the land and is embodied through such features as urban centers, towns, mining, agriculture, and individual settlements. In this mapping effort land use was represented both as a possible vegetation class and as a separate attribute of a vegetated polygon. Every attempt was made to correlate the coding within both layers. A land use polygon was mapped if it was at least 2.5 acres in size. The criteria used for mapping land use are presented in Appendix C of Menke et al. (2016). Menke, J., E. Reyes, A. Glass, D. Johnson, and J. Reyes. 2013. 2013 California Vegetation Map in Support of the Desert Renewable Energy Conservation Plan. Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. Aerial Information Systems, Inc., Redlands, CA. 0 Not Assigned/Not Assessed Land use code classification 1000 Urban Land use code classification 1436 Water Transfer Land use code classification 1850 Wildlife Preserves & Sanctuaries Land use code classification 2000 Agriculture (Includes Nurseries) Land use code classification 2200 Non-woody Row & Field Crops Land use code classification 9800 Undifferentiated Water Land use code classification 9810 Water Impoundment Feature Land use code classification MethodID Code for MethodID. This attribute was used to indicate how the MapUnit coding decision was reached for a polygon by identifying what type of field data (if any) was used to support the vegetation type assignment. For polygons that did not have any corresponding point data, the value of “photo interpretation” was assigned. Some of the stands were assessed from a distance using a compass, laser rangefinder, binoculars, and occasionally a spotting scope. For reconnaissance, multiple stands were often assessed from a single location. Menke, J., E. Reyes, A. Glass, D. Johnson, and J. Reyes. 2013. 2013 California Vegetation Map in Support of the Desert Renewable Energy Conservation Plan. Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. Aerial Information Systems, Inc., Redlands, CA. 1 Rapid Assessment (current project) Method ID code classification 2 Releve Method ID code classification 3 Field Verification Method ID code classification 4 Photo Interpretation Method ID code classification 5 Adjacent Stand Information or Ground Photo Method ID code classification 6 Reconnaissance (current project) Method ID code classification 7 Other Information Method ID code classification 8 Older Plot Data Method ID code classification 9 Older Recon Data Method ID code classification 10 Accuracy Assessment Method ID code classification 60 Additional Recon Information Method ID code classification OLTE_PAFL This attribute denotes the consistent presence of ironwood (Olneya tesota) and/or blue palo verde (Parkinsonia florida) in mapped polygons within the study area, the only occurrence of which is in the Colorado Desert region and Arizona Upland subdivision of the Sonoran Desert. The modifier was added to accurately represent the vast expanses of sparse ironwood and/or blue palo verde emerging from the canopy of creosote bush, white bursage, and brittle bush shrub types on broad alluvial fans and bajadas, as well as in small rivulets dissecting sparsely vegetated desert pavement. Menke, J., E. Reyes, A. Glass, D. Johnson, and J. Reyes. 2013. 2013 California Vegetation Map in Support of the Desert Renewable Energy Conservation Plan. Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. Aerial Information Systems, Inc., Redlands, CA. 0 Olneya tesota and/or Parkinsonia florida not visible or not consistent in stand Menke, J., E. Reyes, A. Glass, D. Johnson, and J. Reyes. 2013. 2013 California Vegetation Map in Support of the Desert Renewable Energy Conservation Plan. Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. Aerial Information Systems, Inc., Redlands, CA. 1 Olneya tesota and/or Parkinsonia florida present in at least trace amounts and consistent throughout most of the stand Menke, J., E. Reyes, A. Glass, D. Johnson, and J. Reyes. 2013. 2013 California Vegetation Map in Support of the Desert Renewable Energy Conservation Plan. Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. Aerial Information Systems, Inc., Redlands, CA. Mappers Indicates whether a polygon was delineated and attributed by Aerial Information Systems (AIS), University of California Riverside (UCR), or the California Department of Fish andWildlife’s Vegetation Classification and Mapping Program (CDFW) NRFVconfidence No regional field verification. For areas that were mapped by CDFG (see Mappers field), this field identifies photo-interpreted polygons in large, contiguous areas that were inaccessible and in which the confidence in correctly identifying the vegetation type was therefore low. These are marked with "low" in this field. UID Unique identifier for each polygon Ortho_Base_Year CalVegName A crosswalk to the CalVeg vegetation system. Note that there may be a one-to-many relationship between CalVeg and NVCS. See http://www.fs.usda.gov/detail/r5/landmanagement/resourcemanagement/?cid=stelprdb5347192 http://www.fs.usda.gov/detail/r5/landmanagement/resourcemanagement/?cid=stelprdb5347192 CalVegCode A crosswalk to the CalVeg vegetation system. Note that there may be a one-to-many relationship between CalVeg and NVCS. See http://www.fs.usda.gov/detail/r5/landmanagement/resourcemanagement/?cid=stelprdb5347192 http://www.fs.usda.gov/detail/r5/landmanagement/resourcemanagement/?cid=stelprdb5347192 CWHRtype A crosswalk to the California Wildlife Habitat Relationships system. Note that there is usually a one-to-many relationship between CWHR and NVCS. See http://www.dfg.ca.gov/biogeodata/cwhr/ http://www.dfg.ca.gov/biogeodata/cwhr/ CWHRcode A crosswalk to the California Wildlife Habitat Relationships system. Note that there is usually a one-to-many relationship between CWHR and NVCS. See http://www.dfg.ca.gov/biogeodata/cwhr/ See http://www.dfg.ca.gov/biogeodata/cwhr/ GlobalRank The state rarity ranking of the plant community mapped (ranks are available for all California alliances, and some associations). Ranks are based on a set of criteria including the rarity of the community (extent and occupancy), the threats that the community is subject to, and any known trends in the quality, size, or quantity of stands within the state. Ranks go from G1 which is critically imperiled/has very few occurrences to G5, when a community is demonstrably secure due to security globally. Ranks G1-G3 are considered rare. See: http://www.natureserve.org/sites/default/files/publications/files/natureserveconservationstatusmethodology_jun12_0.pdf NatureServe, http://explorer.natureserve.org/granks.htm StateRank The state rarity ranking of the plant community mapped (ranks are available for all California alliances, and some associations). Ranks are based on a set of criteria including the rarity of the community (extent and occupancy), the threats that the community is subject to, and any known trends in the quality, size, or quantity of stands within the state. Ranks go from S1 which is most imperiled/has very few occurrences to S5, when a community is demonstrably secure due to security statewide. Ranks S1-S3 are considered rare. See (subnational): http://www.natureserve.org/sites/default/files/publications/files/natureserveconservationstatusmethodology_jun12_0.pdf NatureServe Rare Rarity of the vegetation type. Alliances and associations with state ranks of S1-S3 are considered rare. https://www.wildlife.ca.gov/Data/VegCAMP/Natural-Communities/Background LocalRarity Locally rare natural communities are a type of special status natural community. They are defined in the DRECP as vegetation rare or uncommon within a local geographical boundary while more common outside of that boundary. In addition to the rare vegetation identified by global, national, and state/provincial levels, locally rare vegetation designation is important for the representation of species diversity and ecological processes, and therefore requires effective and recognizable conservation status. Crain and White (2011) developed criteria for categorizing locally rare plant taxa by using the framework the Natural Heritage Network’s Element Ranking System combined with attributes of the World Conservation Union’s Red List Criteria to consider locally rare plant taxa. They used an “L” rank in addition to the standard G and S ranks to signify local rarity. In the DRECP, we have applied this methodology to locally rare occurrences of vegetation alliances rather than individual species. These designations were not applied to more recent areas mapped using the 2016 NAIP Imagery (see orth_base_imagery) Vegetation Classification and Mapping Program (VegCAMP). 2013. 2013 California desert vegetation map and accuracy assessment in support of the Desert Renewable Energy Conservation Plan. Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. California Department of Fish and Wildlife, Sacramento, CA. CACode California Natural Community Codes - unique code assigned to alliances and associations. https://www.wildlife.ca.gov/Data/VegCAMP/Natural-Communities NVCSAlliance The standardized name for the alliance within the 2008 National Vegetation Classification System. See http://usnvc.org/. http://usnvc.org/ NVCSGroup The standardized name for the group within the 2008 National Vegetation Classification System. See http://usnvc.org/. http://usnvc.org/ NVCSMG The standardized name for the macrogroup within the 2008 National Vegetation Classification System. See http://usnvc.org/. http://usnvc.org/ EcologicalSystems A classification system used to create the Gap map for California. They are “groups of plant community types that tend to co-occur within landscapes with similar ecological processes, substrates and/or environmental gradients” (Comer et al. 2003). See http://www.natureserve.org/library/usEcologicalsystems.pdf and http://gapanalysis.usgs.gov/gaplandcover/vision/. Vegetation Classification and Mapping Program (VegCAMP). 2013. 2013 California desert vegetation map and accuracy assessment in support of the Desert Renewable Energy Conservation Plan. Final Report. Prepared for the California Department of Fish and Wildlife Renewable Energy Program and the California Energy Commission. California Department of Fish and Wildlife, Sacramento, CA. Acres GIS-calculated area measurements of each mapped polygon. Hectares GIS-calculated area measurements of each mapped polygon. Shape_Length Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. 20221215 Aerial Information Systems, Inc. Debbie Johnson General Manager FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time