MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Data collected and managed by Forest Service programs.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
The USDA Forest Service Geodata Clearinghouse is an online collection of digital data related to forest resources. Through the Clearinghouse you can find datasets related to forests and grasslands, including boundaries and ownership, natural resources, roads and trails, as well as datasets related to State and private forested areas, including insect and disease threat and surface water importance. You can also find downloadable map products, raster data, and links to other sources of forest resource information. Resources in this dataset:Resource Title: FSGeodata Clearinghouse main page. File Name: Web Page, url: https://data.fs.usda.gov/geodata/
The dataset was originally issued in 2007 by the USDA Forest Service Washington Office-Ecosystem Management Coordination staff. The Forest Carbon Plan ecoregions generally follow subsection boundaries with a few exceptions. In the FCAT Version subsections 341Fa,341Fb341Fc, 341Ff, 341Fe (Eastside) were coded to the desert. Also, while most of subsection M261B went to the Klamath Province, subsection M261Bb went to the North Coast.The original data was compiled at 1:500,000 to 1:1,000,000 scales in participation with Federal and State agencies and nongovernmental partners. The polygon descriptions are presented for the delineated 190 section ecological units. Brief descriptions of the section map units provide an abstract primarily of the climate, physiographic, and geologic substrate that combine to form ecosystems with distinctive vegetation and other unique ecological characteristics. More information of this data set can be found at the FSGeoData Clearinghouse (http://fsgeodata.fs.fed.us/other_resources/ecosubregions.html).For more information, contact egis.calfire@fire.ca.gov
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This layer includes both Proclaimed Forest and National Grassland boundary areas. A Proclaimed Forest boundary is the boundary encompassing National Forest System land within a national forest that is set aside and reserved from the public domain by executive order or proclamation; congressional action is required to terminate a proclaimed boundary; if, at some point in time, no National Forest System land remains within the proclaimed boundary, then there is no legal significance to the proclaimed boundary, however, its legal status remains. National Grasslands are lands designated "National Grasslands" by the Secretary of Agriculture and permanently held by the Department of Agriculture for administration under Title III of the Bankhead-Jones Farm Tenant Act.Download via FSGeodata ClearinghouseThis record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService CSV Shapefile GeoJSON KML For complete information, please visit https://data.gov.
State Level Datasets for California is available from this website. These datasets include: Existing Vegetation, Fire History, FRID (Fire Return Interval Departure), and other California extent datasets. These datasets are zipped personal or file geodatabases created using ESRI ArcGIS 10.x software. Additional descriptive information, as well as data steward contact information for each geodatabase, can be found under the metadata link. These metadata files meet the Federal Geospatial Data Committee standards for structure and content.
Many other Forest Service geospatial datasets can be downloaded from the FSGeodata Clearinghouse, where datasets are available on a national level, covering all forests in the country. Datasets which are available in the FSGeodata Clearinghouse are not available here on the Pacific Southwest Region site.
Note: To download this raster dataset, go to ArcGIS Open Data Set and click the download button, and under additional resources select raster download option; the data can also be downloaded directly from the FSGeodata Clearinghouse. To summarize this dataset by U.S. Forest Service Lands, see the Drought Summary Tool. You can also explore cumulative drought and moisture changes from this StoryMap; additional drought products from the Office of Sustainability and Climate are available in our Climate Gallery and the OSC Drought page.The Moisture Deficit and Surplus map uses moisture difference z-score datasets developed by scientists Frank Koch, John Coulston, and William Smith of the Forest Service Southern Research Station. A z-score is a statistical method for assessing how different a value is from the mean (average). Mean moisture values were derived from historical data on precipitation and potential evapotranspiration, from 1900 to 2023. The greater the z-value, the larger the departure from average conditions, indicating larger moisture deficits or surpluses. Thus, the dark red areas on this map indicate a one-year period with extremely dry conditions, relative to the average conditions over the past century. For further reading on the methodology used to build these maps, see the publication here: https://www.fs.usda.gov/treesearch/pubs/43361
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Note: To download this raster dataset, go to ArcGIS Open Data Set and click the download button, and under additional resources select raster download option; the data can also be downloaded directly from the FSGeodata Clearinghouse. To summarize this dataset by U.S. Forest Service Lands, see the Drought Summary Tool. You can also explore cumulative drought and moisture changes from this StoryMap; additional drought products from the Office of Sustainability and Climate are available in our Climate Gallery and the OSC Drought page.The Moisture Deficit and Surplus map uses moisture difference z-score datasets developed by scientists Frank Koch, John Coulston, and William Smith of the Forest Service Southern Research Station. A z-score is a statistical method for assessing how different a value is from the mean (average). Mean moisture values were derived from historical data on precipitation and potential evapotranspiration, from 1900 to 2023. The greater the z-value, the larger the departure from average conditions, indicating larger moisture deficits or surpluses. Thus, the dark red areas on this map indicate a five-year period with extremely dry conditions, relative to the average conditions over the past century. For further reading on the methodology used to build these maps, see the publication here: https://www.fs.usda.gov/treesearch/pubs/43361
Note: To download this raster dataset, go to ArcGIS Open Data Set and click the download button, and under additional resources select raster download option; the data can also be downloaded directly from the FSGeodata Clearinghouse. To summarize this dataset by U.S. Forest Service Lands, see the Drought Summary Tool. You can also explore cumulative drought and moisture changes from this StoryMap; additional drought products from the Office of Sustainability and Climate are available in our Climate Gallery and the OSC Drought page.The Moisture Deficit and Surplus map uses moisture difference z-score datasets developed by scientists Frank Koch, John Coulston, and William Smith of the Forest Service Southern Research Station. A z-score is a statistical method for assessing how different a value is from the mean (average). Mean moisture values were derived from historical data on precipitation and potential evapotranspiration, from 1900 to 2023. The greater the z-value, the larger the departure from average conditions, indicating larger moisture deficits or surpluses. Thus, the dark red areas on this map indicate a five-year period with extremely dry conditions, relative to the average conditions over the past century. For further reading on the methodology used to build these maps, see the publication here: https://res1wwwd-o-tfsd-o-tusdad-o-tgov.vcapture.xyz/treesearch/pubs/43361
Note: To download this raster dataset, go to ArcGIS Open Data Set and click the download button, and under additional resources select any of the download options. Data can also be downloaded from the FSGeodata Clearinghouse.More information about rangeland productivity and the effects of drought are available in this StoryMap; additional drought and rangeland products from the Office of Sustainability and Climate are available in our Climate Gallery.Time enabled image service showing estimates of annual production of rangeland vegetation.Production data were generated using the Normalized Difference Vegetation Index (NDVI) from the Thematic Mapper Suite from 1984 to 2023 at 250 m resolution. The NDVI is converted to production estimates using two regression formulas depending on the level of the NDVI; there is one equation for lower values (and thus lower production values) and one for higher values. This raster dataset yields estimates of annual production of rangeland vegetation and should be useful for understanding trends and variability in forage resources. These results were then converted to Z-scores for easier comparison of annual relative productivity in coterminous U.S. rangelands, and for rapid display in online time-enabled applications. This Z-scores dataset as well as the raw lbs/acre data that the Z-scores were derived from can be downloaded from: https://data.fs.usda.gov/geodata/rastergateway/rangelands/index.phpMore information about rangeland productivity and the effects of drought are available in this story map.
The base Land Cover data layer for the Commonwealth of Puerto Rico was produced by the International Institute of Tropical Forestry(IITF) and crosswalked to NLCD classes, with additional crop type modeling conducted by the National Oceanic and Atmospheric Administration (NOAA). This original base data layer is available at http://fsgeodata.fs.fed.us/rastergateway/ An additional link for the publication associated with this work is http://tropicalforestry.net/Members/ehelmer/caribbean-vegetation-and-land-cover The full reference for this work is Kennaway, T., and E. H. Helmer. 2007. The forest types and ages cleared for land development in Puerto Rico. GIScience and Remote Sensing 44:356-382. NLCD data layers are made through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of federal agencies (www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (EPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service (USFS), the National Park Service (NPS), the U.S. Fish and Wildlife Service (FWS), the Bureau of Land Management (BLM) and the USDA Natural Resources Conservation Service (NRCS). One of the primary goals of the project is to generate a current, consistent, seamless, and accurate National Land cover Database (NLCD) circa 2001 for the United States at medium spatial resolution. This landcover map and all documents pertaining to it are considered "provisional" until a formal accuracy assessment can be conducted. For a detailed definition and discussion on MRLC and the NLCD 2001 products, refer to Homer et al. (2004) and http://www.mrlc.gov/mrlc2k.asp. The NLCD 2001 is created by partitioning the U.S. into mapping zones. A total of 66 mapping zones were delineated within the conterminous U.S. based on ecoregion and geographical characteristics, edge matching features and the size requirement of Landsat mosaics. The Commonwealth of Puerto Rico encompasses the territory of Puerto Rico. Questions about the NLCD landcover layer for the Commonwealth of Puerto Rico can be directed to the NLCD 2001 land cover mapping team at the USGS/EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov.
This feature layer consists of two layers: Class I Wilderness areas and Class II Wilderness areas. The Clean Air Act established Federal Class I areas in each national park over 6,000 acres and each national wilderness larger than 5,000 acres that were in existence as of August 7, 1977, the date of the Act amendment. These are areas where the Administrator, in consultation with the Secretary of the Interior, determined visibility to be an important value. These geographic areas are designated for the most stringent degree of protection from future degradation of air quality. The National Park Service, Fish and Wildlife Service, and Forest Service are the three federal land managers of Class I areas.The data from both layers come from a map service depicting status of parcels for Forest Service land congressionally designated as wilderness such as National Wilderness Areas. All data is from National Datasets from USDA Forest Service, available on the FSGeodata Clearinghouse website: https://data.fs.usda.gov/geodata/.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Note: To download this raster dataset, go to ArcGIS Open Data Set and click the download button, and under additional resources select raster download option; the data can also be downloaded directly from the FSGeodata Clearinghouse. To summarize this dataset by U.S. Forest Service Lands, see the Drought Summary Tool. You can also explore cumulative drought and moisture changes from this StoryMap; additional drought products from the Office of Sustainability and Climate are available in our Climate Gallery and the OSC Drought page.The Moisture Deficit and Surplus map uses moisture difference z-score datasets developed by scientists Frank Koch, John Coulston, and William Smith of the Forest Service Southern Research Station. A z-score is a statistical method for assessing how different a value is from the mean (average). Mean moisture values were derived from historical data on precipitation and potential evapotranspiration, from 1900 to 2023. The greater the z-value, the larger the departure from average conditions, indicating larger moisture deficits or surpluses. Thus, the dark red areas on this map indicate a three-year period with extremely dry conditions, relative to the average conditions over the past century. For further reading on the methodology used to build these maps, see the publication here: https://www.fs.usda.gov/treesearch/pubs/43361
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Related Assets:
Map Image Layer item registering ArcX/EDW_AerialFireRetardantAvoidanceAreas_Aquatic_01/MapServer
Feature Layer item registering ArcX/EDW_AerialFireRetardantAvoidanceAreas_Aquatic_01/MapServer/0 Hosted Feature Service item registering AGO/EDW_AerialFireRetardantAvoidanceAreas_Aquatic_FeatureServer
‎Document Link (pointing to this Landing Page) for the FS Geospatial Data Discovery (aka ArcGIS Open Data Hub Site)
FSGeodata Clearinghouse downloads: GDB.zip | SHP.zip
Metadata:
Style
xml
html
ArcGIS
Metadata Format
AFRAA_Aquatic.arcgis.xml
not supported
FGDC CSDGM Metadata
AFRAA_Aquatic.fgdc.xml
AFRAA_Aquatic.fgdc.html
INSPIRE Metadata Directive
AFRAA_Aquatic.inspire.xml
AFRAA_Aquatic.inspire.html
ISO 19139
AFRAA_Aquatic.iso19139.xml
AFRAA_Aquatic.iso19139.html
ISO 19139 Metadata Spec GML3.2
AFRAA_Aquatic.iso19139-3.2.xml
AFRAA_Aquatic.iso19139-3.2.html
North American Profile of
ISO19115 2003
AFRAA_Aquatic.iso19115.xml
AFRAA_Aquatic.iso19115.html
Description: This data depicts aquatic aerial fire retardant avoidance areas delivered as part of the 2011 Nationwide Aerial Application of Fire Retardant on National Forest System Land Environmental Impact Statement, the 2023 Supplemental Environmental Impact Statement, and the 2024 Record of Decision.This data shows areas where the aerial application of fire retardant should be avoided in order to prevent the potential of impacts to aquatic features across National Forest lands. The data is based on the high resolution National Hydrographic Dataset (NHD) produced by USGS. Each National Forest has the opportunity annually to modify the default NHD water representation (300ft buffer around all perennial and intermittent water features) to more accurately represent aquatic aerial fire retardant avoidance areas. This data is to be used in planning and implementation phases of U.S. Forest Service fire activities to help prevent intrusions of aerial fire retardant in these aquatic areas throughout National Forest lands. Provided here is a regionally merged dataset. This data has been merged, dissolved, and erased of attributes contained in each original component dataset. For this purpose, specific attributes are not necessary, as any spatial areas depicted simply show areas where aerial fire retardant use is to be avoided as stated in U.S. Forest Service guidelines.
Related Datasets:
‎Document Link - Fire_AerialFireRetardantAvoidanceAreas_Terrestrial (Landing
Page)
Document Link - Legacy Aerial Fire Retardant Avoidance Area Products
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MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Data collected and managed by Forest Service programs.