U.S. Forest Service 20210501 vector digital data https://wildlife.ca.gov/Data/BIOS https://www.fs.usda.gov/detail/r5/forest-grasslandhealth/?cid=fsbdev3_046696 https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/2900_2999/ds2948.zip The USDA Forest Service, Pacific Southwest Region, State and Private Forestry, Forest Health Protection (FHP) staff normally conduct annual aerial surveys throughout forested areas of California to detect recently killed and damaged forest trees. However, due to safety concerns related to multi-person flights during the COVID-19 global pandemic in 2020, aerial survey was not authorized, and no flights were conducted. The Pacific Southwest Region shifted to other remote sensing methods to monitor forest health conditions in 2020.In 2020, 13 surveyors virtually surveyed approximately 3.8 million acres utilizing either touch tablets or computers to scan recent satellite or NAIP aerial imagery and digitally sketch points and polygons of tree damage – mostly mortality.In 2019, a more typical year, aerial detection surveys (ADS) were flown by 3 surveyors between July and August, surveying ~41 million acres of forested land in California. Additionally, field staff conducted spot ground checks on selected points and polygons to verify host and agent. The “scan and sketch” remote sensing method takes more surveyor hours than aerial survey flights; therefore, only a small percentage of California’s forestland could be surveyed this way with available capacity. Areas of Interest (AOIs) were selected to sample across the typical aerial survey area. Images were acquired in prioritized AOIs selected by forest health staff and key partners. AOIs were selected using criteria for: 1) Extreme Drought Designation in the 2020 Drought Monitor: North Interior California (AOI 10, 20); 2) Recent severe Tree Mortality: Warner Mountains, Southern Sierras (AOI 6, 8, 14, 15, 18, 19); and3) Pest or Pathogen of Interest: North Coast for Sudden Oak Death (Phytophthora ramorum) (9, 11-13, 16, 17), Southern California through Santa Cruz County for Goldspotted Oak Borer (Agrilus auroguttatus), Invasive Shothole Borers, and others (1-5, 7).High-resolution imagery came from the National Agricultural Inventory Program (NAIP) and Maxar's GeoEye, WorldView-2 and WorldView-3 sensors. Imagery was acquired between April 15 and October 22, 2020 ***This dataset differs significantly from typical annual ADS GIS datasets*** The USDA Forest Service, Pacific Southwest Region, State and Private Forestry, Forest Health Protection (FHP) staff normally conduct annual aerial surveys throughout forested areas of California to detect recently killed and damaged forest trees. However, due to safety concerns related to multi-person flights during the COVID-19 global pandemic in 2020, aerial survey was not authorized, and no flights were conducted. The Pacific Southwest Region shifted to other remote sensing methods to monitor forest health conditions in 2020. Monitoring results for 2020 are summarized in the annual report https://www.fs.usda.gov/Internet/FSE_DOCUMENTS/fseprd923260.pdf This dataset includes observations of tree mortality and damage recorded using the 'Scan and Sketch' method instead of Aerial Detection Survey. Scan and sketch surveys were conducted within 20 areas of interest (AOIs) covering 3.8 million acres. A typical annual aerial survey would cover about 41 million forested acres in California. In 2020, 13 surveyors virtually surveyed approximately 3.8 million acres utilizing either touch tablets or computers to scan recent satellite or NAIP aerial imagery and digitally sketch points and polygons of tree damage – mostly mortality. Some limited field verification was conducted in 2020 For more information please visit USFS Region 5 - Aerial Detection Monitoring https://www.fs.usda.gov/detail/r5/forest-grasslandhealth/?cid=fsbdev3_046696 Complete None planned -124.140176 -116.142056 42.062038 33.048953 None Damage, Health, Defoliation, Disease, Aerial survey, Forest health, Insect, Condition, Forest condition, National Forest, Tree mortality, Topkill, Dieback, Sketch map, Insect outbreaks, Insect populations, Tree stress, scan and sketch, pan and scan, AOI ISO 19115 Topic Categories environment geoscientificInformation None California None 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 Detection Survey Data Disclaimer: Forest Health Protection (FHP) and its partners strive to maintain an accurate Aerial Detection Survey (ADS) Dataset, but due to the conditions under which the data are collected, FHP and its partners shall not be held responsible for missing or inaccurate data. ADS are not intended to replace more specific information. An accuracy assessment has not been done for this dataset; only limited ground checks were completed due to Covid-19 related travel restrictions. Maps and data may be updated without notice. Please cite "USDA Forest Service, R5 Forest Health Protection" as the source of this data in maps and publications.Users need to exercise caution regarding the spatial accuracy of these data due to the subjective nature of aerial and desktop sketchmapping and the varying scales of source materials. Comparison with other datasets for the same area from other time periods may be inaccurate due to inconsistencies resulting from rounding of decimal coordinates during conversion, changes in mapping conventions over time, change in assignment of damage casual agent, and type of data collection. Any products (hardcopy or electronic) using these data sets shall clearly indicate their source. If the user has modified the data in any way, they are obligated to describe the modifications on all products. The user specifically agrees not to misrepresent these data sets, nor to imply that changes made were approved by the USDA Forest Service. ***Related to TPA: The national aerial survey support group has decided that “Percent of Forested Area Affected” class is preferable to legacy TPA estimates and starting in 2017, R5 switched to this methodology. Every effort has been made at the Regional level to make this new protocol compatable with legacy standards. However the data structure is now inherently different and making new data directly comparable is a challenge. Please contact: jeffrey.moore@usda.gov for additional information and assistance. These changes are an effort to improve the accuracy in these cases. Some of the confounding factors are a) the inter-mixing of several year's worth of mortality, which makes it hard to see the newly killed trees in among the previous years’ dead; b) the need to draw very large polygons, which tend to be more heterogeneous (more inclusions of non-host and non-forest areas), which make it necessary to not only estimate the number of dead trees in a forest context, but also to make mental adjustment of how much of these large polygons is non-type; c) the recent bark beetle events were at an unprecedented scale and intensity beyond the experience of most any of our observers. ****Related to Polygon Issues During Outbreaks: ADS polygons during outbreaks (such as the mountain pine beetle outbreak in the west) are larger both because the areas of contiguous mortality are larger and also because the observers are only able to record a limited number of polygons given the flight speed. When there are a large number of mortality groups being observed, the observers must include multiple groups of mortality in a single polygon to keep up. This tends to include more areas of non-mortality host, non-host types, and non-forested areas(the areas between the individual groups of red trees). The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly. U.S. Forest Service Jeffrey Moore Aerial Survey Program Manager (530) 759-1753 jeffrey.moore@usda.gov U.S. Forest Service Jeffrey Moore Aerial Survey Program Manager (530) 759-1753 jeffrey.moore@usda.gov USDA Forest Service Region 5 Forest Health Protection, Aerial Survey Program Version 6.2 (Build 9200) ; Esri ArcGIS 10.5.1.7333 Vector GT-polygon composed of chains 4682 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 ds2948 OBJECTID Internal feature number. Esri Sequential unique whole numbers that are automatically generated. SHAPE Feature geometry. Esri Coordinates defining the features. DAMAGE_AREA_ID Unique ID generated for each feature. USFS CREATED_DATE Timestamp for when feature was created. USFS MODIFIED_DATE Timestamp for when feature geometry or attribute data was last modified. USFS OBSERVATION_USER_ID User_ID of the user that create or modified feature. USFS REGION_ID U.S. Forest Service Region, consisting of Region 1 (Northern Region), Region 2 (Rocky Mountain Region), Region 3 (Southwestern Region), Region 4 (Intermountain Region), Region 5 (Pacific Southwest Region), Region 6 (Pacific Northwest Region). USFS LABEL DMSM Quick Key Label (DMSM data only). USFS HOST_CODE Host tree species code. USFS HOST Host tree species. USFS HOST_GROUP_CODE Host group code (DMSM data only). USFS HOST_GROUP Description of host group members which is a set of no more than five individual tree species that are hosts for specific forest pest agent and are commonly found growing together. USFS DCA_CODE Damage-causing agent code. USFS DCA Common name for damage agent. USFS DAMAGE_TYPE_CODE Damage type identification code. USFS DAMAGE_TYPE Damage type identification description. PERCENT_AFFECTED_CODE Code for Percent Forested area affected by damage. USFS VL Very Light (1-3%) USFS L Light (4-10%) USFS M Moderate (11-29%) USFS S Severe (30-50%) USFS VS Very Severe (>50%) USFS PCT_AFFECTED Percent Forested area affected by damage. USFS NOTES This field contains information about the source imagery used to identify damage areas. NA20 = NAIP 2020, GEO1 = GeoEye, WV2,03 = WorldView-2,3. After the ; delimiter the acquisition date is listed in 8 digit YYYYMMDD format. For 2020 ADS, this data is more relevant than the collection date because live surveys were not conducted. USFS OBSERVATION_COUNT Describes whether a feature has a SINGLE or MULTIPLE observations associated with it. USFS COLLECTION_MODE DMSM mode. This value comes either from the DMSM collection device or from editing with DMSM Desktop Tools. USFS AREA_TYPE Indicated whether a polygon was originally entered into DMSM as an AREA or as a point which was later converted into a BUFFERED_POINT. USFS OBSERVATION_ID Unique ID generated for each damage observation. USFS PHOTOS Lists photos taken of the area. Not Applicable in 2020. USFS ACRES Areas of polygon in acres calculated in GIS by converting square meters to Acres. USFS NUMBER_OF_TREES_CODE Code for number of trees affected by damage (for DMSM points later buffered to polygons). USFS 1 1 tree USFS 2 2-5 trees USFS 3 6-15 trees USFS 4 16-30 trees USFS 5 >30 trees USFS NUMBER_OF_TREES_DESC Number of trees affected by damage. USFS ESTIMATED_POINT_ACRES NA for 2020 and Region 5 ADS data. USFS 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. MORT_TPA Dead trees per acre - a measure of mortality. USFS RPT_YR Survey reporting year for the Data. Damage is typically surveyed and reported from June to September of the survey year. USFS 20211001 U.S. Forest Service Jeffrey Moore Aerial Survey Program Manager (530) 759-1753 jeffrey.moore@usda.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time