10,000+ results returned
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Title: 1:24,000 County Boundaries (cnty24k09_1_multipart)
Contributors:- Polygon data
- 2009
Summary: In late 1996, the Dept of Conservation (DOC) surveyed state and federal agencies about the county boundary coverage they used. As a result, DOC adopted the 1:24,000 (24K) scale U.S. Bureau of Reclamation (USBR) dataset (USGS source) for their Farmland Mapping and Monitoring Program (FMMP) but with several modifications. Detailed documentation of these changes is provided by FMMP and included in the lineage section of the metadata. A dataset named cnty24k97_1 was made available (approximately 2004) through the California Department of Forestry and Fire Protection - Fire and Resource Assessment Program (CDF - FRAP) and the California Spatial Information Library (CaSIL). In late 2006, the Department of Fish and Game (DFG) reviewed cnty24k97_1. Comparisons were made to a high-quality 100K dataset (co100a/county100k from the former Teale Data Center GIS Solutions Group) and legal boundary descriptions from ( http://www.leginfo.ca.gov ). The cnty24k97_1 dataset was missing Anacapa and Santa Barbara islands. DFG added the missing islands using previously-digitized coastline data (coastn27 of State Lands Commission origin), corrected a few county boundaries, built region topology, added additional attributes, and renamed the dataset to county24k. In 2007, the California Mapping Coordinating Committee (CMCC) requested that the California Department of Forestry and Fire Protection (CAL FIRE) resume stewardship of the statewide county boundaries data. CAL FIRE adopted the changes made by DFG and collected additional suggestions for the county data from DFG, DOC, and local government agencies. CAL FIRE incorporated these suggestions into the latest revision, which has been renamed cnty24k09_1. Detailed documentation of changes is included in the Process Step section of the metadata.
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Title: 1:24,000 County Boundaries (cnty24k09_1_line)
Contributors:- Line data
- 2009
Summary: In late 1996, the Dept of Conservation (DOC) surveyed state and federal agencies about the county boundary coverage they used. As a result, DOC adopted the 1:24,000 (24K) scale U.S. Bureau of Reclamation (USBR) dataset (USGS source) for their Farmland Mapping and Monitoring Program (FMMP) but with several modifications. Detailed documentation of these changes is provided by FMMP and included in the lineage section of the metadata. A dataset named cnty24k97_1 was made available (approximately 2004) through the California Department of Forestry and Fire Protection - Fire and Resource Assessment Program (CDF - FRAP) and the California Spatial Information Library (CaSIL). In late 2006, the Department of Fish and Game (DFG) reviewed cnty24k97_1. Comparisons were made to a high-quality 100K dataset (co100a/county100k from the former Teale Data Center GIS Solutions Group) and legal boundary descriptions from ( http://www.leginfo.ca.gov ). The cnty24k97_1 dataset was missing Anacapa and Santa Barbara islands. DFG added the missing islands using previously-digitized coastline data (coastn27 of State Lands Commission origin), corrected a few county boundaries, built region topology, added additional attributes, and renamed the dataset to county24k. In 2007, the California Mapping Coordinating Committee (CMCC) requested that the California Department of Forestry and Fire Protection (CAL FIRE) resume stewardship of the statewide county boundaries data. CAL FIRE adopted the changes made by DFG and collected additional suggestions for the county data from DFG, DOC, and local government agencies. CAL FIRE incorporated these suggestions into the latest revision, which has been renamed cnty24k09_1. Detailed documentation of changes is included in the Process Step section of the metadata.
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Title: 1:24,000 County Boundaries (cnty24k09_1_poly)
Contributors:- Polygon data
- 2009
Summary: In late 1996, the Dept of Conservation (DOC) surveyed state and federal agencies about the county boundary coverage they used. As a result, DOC adopted the 1:24,000 (24K) scale U.S. Bureau of Reclamation (USBR) dataset (USGS source) for their Farmland Mapping and Monitoring Program (FMMP) but with several modifications. Detailed documentation of these changes is provided by FMMP and included in the lineage section of the metadata. A dataset named cnty24k97_1 was made available (approximately 2004) through the California Department of Forestry and Fire Protection - Fire and Resource Assessment Program (CDF - FRAP) and the California Spatial Information Library (CaSIL). In late 2006, the Department of Fish and Game (DFG) reviewed cnty24k97_1. Comparisons were made to a high-quality 100K dataset (co100a/county100k from the former Teale Data Center GIS Solutions Group) and legal boundary descriptions from ( http://www.leginfo.ca.gov ). The cnty24k97_1 dataset was missing Anacapa and Santa Barbara islands. DFG added the missing islands using previously-digitized coastline data (coastn27 of State Lands Commission origin), corrected a few county boundaries, built region topology, added additional attributes, and renamed the dataset to county24k. In 2007, the California Mapping Coordinating Committee (CMCC) requested that the California Department of Forestry and Fire Protection (CAL FIRE) resume stewardship of the statewide county boundaries data. CAL FIRE adopted the changes made by DFG and collected additional suggestions for the county data from DFG, DOC, and local government agencies. CAL FIRE incorporated these suggestions into the latest revision, which has been renamed cnty24k09_1. Detailed documentation of changes is included in the Process Step section of the metadata.
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Title: 1:24,000 County Boundaries (cnty24k09_1_state_bnd)
Contributors:- Polygon data
- 2009
Summary: In late 1996, the Dept of Conservation (DOC) surveyed state and federal agencies about the county boundary coverage they used. As a result, DOC adopted the 1:24,000 (24K) scale U.S. Bureau of Reclamation (USBR) dataset (USGS source) for their Farmland Mapping and Monitoring Program (FMMP) but with several modifications. Detailed documentation of these changes is provided by FMMP and included in the lineage section of the metadata. A dataset named cnty24k97_1 was made available (approximately 2004) through the California Department of Forestry and Fire Protection - Fire and Resource Assessment Program (CDF - FRAP) and the California Spatial Information Library (CaSIL). In late 2006, the Department of Fish and Game (DFG) reviewed cnty24k97_1. Comparisons were made to a high-quality 100K dataset (co100a/county100k from the former Teale Data Center GIS Solutions Group) and legal boundary descriptions from ( http://www.leginfo.ca.gov ). The cnty24k97_1 dataset was missing Anacapa and Santa Barbara islands. DFG added the missing islands using previously-digitized coastline data (coastn27 of State Lands Commission origin), corrected a few county boundaries, built region topology, added additional attributes, and renamed the dataset to county24k. In 2007, the California Mapping Coordinating Committee (CMCC) requested that the California Department of Forestry and Fire Protection (CAL FIRE) resume stewardship of the statewide county boundaries data. CAL FIRE adopted the changes made by DFG and collected additional suggestions for the county data from DFG, DOC, and local government agencies. CAL FIRE incorporated these suggestions into the latest revision, which has been renamed cnty24k09_1. Detailed documentation of changes is included in the Process Step section of the metadata.
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Title: County Boundaries (1:24000)
Contributors:- Polygon data
- 2004
Summary: In late 1996, the Dept of Conservation (DOC) surveyed state and federal agencies about the county boundary coverage they used. As a result, DOC adopted the 1:24, 000 scale Bureau of Reclamation dataset (USGS source) for their Farmland Mapping and Monitoring Program (FMMP) but with several major and minor modifications. Detailed documentation of these changes is provided by FMMP and included as part of the data dictionary.
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Title: Counties, Northern California, 1997
Contributors:- Polygon data
- 1997
- California Department of Forestry and Fire Protection (CDF) (using data from BOR and DOC FMMP)
- Department of Conservation (DOC) Farmland Mapping and Monitoring Program (FMMP)
Summary: In late 1996, the Dept of Conservation (DOC) surveyed state and federal agencies about the county boundary coverage they used. As a result, DOC adopted the 1:24, 000 scale Bureau of Reclamation dataset (USGS source) for their Farmland Mapping and Monitoring Program (FMMP) but with several major and minor modifications. Detailed documentation of these changes is provided by FMMP and included as part of the data dictionary.
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Title: Bioregions (INACC Regions)
Contributors:- Polygon data
- 2004
Summary: California regions developed by the Inter-agency Natural Areas Coordinating Committee (INACC) were digitized from a 1:1,200,000 California Department of Fish and Game paper map. The 2004 update utilizes the 1:24,000-scale county boundaries, coastline and state boundary from the CMCC Framework data layer CNTY24K97_1. The North and South Sierra bioregions have also been collapsed to form one region,Sierra.
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Title: Agricultural Enterprise Areas, Wisconsin 2019
Contributors:- Polygon data
- 2019
Summary: [This feature class contains the location of 'Agricultural Enterprise Areas' (AEAs) in Wisconsin in 2019. This feature class was created by DATCP by standardizing and aggregating data submitted by counties as part of the AEA petition process. The AEA petition process occurs annually, so this feature class is updated annually as new AEAs are approved. (URLs updated July 2016)].
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Title: Farmland Preservation Plan, Wisconsin 2019
Contributors:- Polygon data
- 2019
Summary: [This feature class contains the location of farmland preservation areas as designated in farmland preservation plans that have been certified by DATCP since July 1, 2009. This feature class was created by DATCP by standardizing and aggregating data submitted by counties as part of the farmland preservation plan certification process. This feature class was last updated January 2019.]
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Title: Farmland Preservation Zoning, Wisconsin 2019
Contributors:- Polygon data
- 2019
Summary: [This feature class contains the location of certified farmland preservation districts as identified in farmland preservation ordinances with both texts and maps that have been certified (or recertified) by DATCP Land and Water Resource Managment (LWRM) Bureau since July 1, 2009. This feature class was created by DATCP by standardizing and aggregating data submitted by counties as part of the farmland preservation plan certification process. This feature class was last updated February 2019. ]
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Title: Land and Water Management, Wisconsin 2017
Contributors:- Polygon data
- 2017
Summary: This feature dataset includes the following feature classes: ATRAZINE_PA, ATRAZINE_PA_LWRV, CREP_LOC_2016, LIVESITE_CNTY_ORD, LIVESITE_CVT_ORD, STATEWIDE_AEA, STATEWIDE_FP_PLAN, STATEWIDE_FP_ZON, WI_DRAINAGE_DIST.
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Title: Animal Health, Wisconsin 2016
Contributors:- Point data
- 2016
Summary: This feature dataset contains the following feature classes: 'DATCP_ANIMAL_DEALER', 'DATCP_ANIMAL_MARKET', 'DATCP_ANIMAL_TRUCKER', 'DATCP_AQUACULTURE', 'DATCP_DEER_FARM', 'DATCP_IMPORT_FEEDLOT'. It is feature dataset within the geodatabase 'DATCP_Animal_Health.gdb'. The date of all feature classes within this dataset is 1/6/16.
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Title: Land and Water Management, Wisconsin 2016
Contributors:- Polygon data
- 2016
Summary: This feature dataset includes the following feature classes: ATRAZINE_PA_1, ATRAZINE_PA_LWRV_1, CREP_LOC_2013_1, LIVESITE_CNTY_ORD_1, LIVESITE_CVT_ORD_1, STATEWIDE_AEA_1, STATEWIDE_FP_AGRMNT_1, STATEWIDE_FP_PLAN, STATEWIDE_FP_ZON, WI_DRAINAGE_DIST_1.
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Title: Miscellaneous DATCP Data, Wisconsin 2016
Contributors:- Point data
- 2016
Summary: This feature dataset contains the following feature classes: DATCP_GRAIN_WAREHOUSE, DATCP_PUBLIC_WAREHOUSE, ENERGY_BIODIESEL, ENERGY_COMMERCIAL_WIND_TURBINE, ENERGY_ETHANOL, FAIRGRND, NOP_ORGANIC_BUSI, NOP_ORGANIC_FARM, WI_CNTY_SEAT
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Title: Food Safety, Wisconsin 2016
Contributors:- Point data
- 2016
Summary: This feature dataset contains the following feature classes: 'DATCP_BULK_MILK_TANK_OWN', 'DATCP_DAIRY_PLANT', 'DATCP_FOOD_PROCESSING', 'DATCP_FOOD_WAREHOUSE', 'DATCP_MEAT_PLANT', 'DATCP_MILK_PRODUCER', 'DATCP_RETAIL_FOOD_EST', 'DATCP_RETAIL_FOOD_EST_AGT'. It is a feature dataset with the geodatabase, DATCP_FOOD_SAFETY. The date of all feature classes within this dataset is 1/6/16.
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Title: Nurseries, Wisconsin 2016
Contributors:- Point data
- 2016
Summary: This feature class includes the locations and general attributes of active nursery businesses - specifically active nursery fields - licensed by the Wisconsin Department of Agriculture, Trade and Consumer Protection (DATCP) as of 01/06/2016(i.e., date the list of licensed nursery businesses was last downloaded from the agency 'AMANDA' licensing database). Only businesses that operate (e.g., headquarters, facility, plant) on a property in Wisconsin are included.Point locations were generated by Centrus Desktop address geocoding software or collected by field staff using recreational grade GPS. 'Active' NU licenses may include licenses with the following status: pending, active, conditional, renewal, ready to issue, pending-renewal, pending-financial, and pending-premises.
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Title: Proposed NM590 Restrictions, Wisconsin 2015
Contributors:- Polygon data
- 2015
Summary: This feature dataset contains the following feature classes: NM_590_DEPTH_BEDROCK_LT5FT, NM_590_SHALLOW_SILURIAN, NM_590_WELL_BUFF_1000FT, NM_590_WELL_COMPENSATION. It is a feature dataset within the geodatabase DATCP_NM_590_PROPOSED_RESTRICT.
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Title: NRCS Soils, Wisconsin 2014
Contributors:- Polygon data
- 2015
Summary: This feature dataset includes the following feature classes: NRCS_SOIL, NRCS_SOIL_HYDRIC, NRCS_SOIL_HYDROLOGIC_GROUP, NRCS_SOIL_PI, NRCS_SOIL_PRIMEFARMLAND, NRCS_SOIL_PRIMEFARMLAND_ALLPRIME. It is a feature dataset within the geodatabase, NRCS_SOIL_021814_FGDB_v93.
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Title: Nutrient Management, Wisconsin 2015
Contributors:- Polygon data
- 2015
Summary: This feature dataset contains the following feature classes: NM_590_FALL_RESTRICT_WEB, NM_590_SOIL, NM_590_SWQMA_1000FT, NM_590_SWQMA_300FT, NM_590_WINT_RESTRICT_WEB, NM_CAFO_FALL_RESTRICT_WEB, NM_CAFO_SWQMA_300FT, NM_TRAIN_TERR. It is a feature dataset within the geodatabase, DATCP_NUTRIENT_MGMT.
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Title: Reducing Wildfire Risk to Forest Ecosystem Services, California, 2018
Contributors:- Raster data
- 2018
Summary: This Priority Landscape (PL) prioritizes watersheds for potential treatment to reduce wildfire risk based on threats and assets to forested lands. Ranking: The ranking varies from 1 (least risk) to 5 (greatest risk). Lands such as conifer woodlands (e.g. juniper and pinyon-juniper), oak woodlands (blue oak woodland, valley oak woodland, coastal oak woodland, etc.), shrublands, grasslands, were not included. In addition, only forested lands with a fire return interval departure (FRID) of class 2 or greater were included. This ensures that the areas most in need of treatment to restore natural fire regimes and improve ecological functions are prioritized. Assets: Surface water value: Watersheds (HUC12s) were ranked based on surface drinking water value from the USDA Forest Service's Forests to Faucet data, https://www.fs.fed.us/ecosystemservices/FS_Efforts/forests2faucets.shtml Carbon storage: Estimated amount of carbon in the forest that is in living trees above the ground was spatially imputed into a GIS layer from Forest Service FIA data by Wilson et al. (2013) using a gradient nearest neighbor (GNN) technique. See Wilson, B.T., C.W. Woodall, and D.M. Griffith, Imputing forest carbon stock estimates from inventory plots to a nationally continuous coverage. Carbon Balance and Management, 2013. 8(1): p. 15. Standing timber: Shows the estimated commercial timber volume on lands available for harvesting. Standing Timber was was primarily derived from LEMMA Structure Maps (https://lemma.forestry.oregonstate.edu/data/structure-maps) that also used Forest Service FIA data and a GNN methodology (2012 vintage). LEMMA commercial timber volume was reduced for areas of high fire severity burns through 2017 (from FRAP), BAER imagery for areas of high severity wildfires that have occurred in 2018 (from:https://fsapps.nwcg.gov/afm/baer/download.php), and Aerial Detection Survey data of areas of high tree mortality (also subsequent to 2012). Lands not available for timber harvest were removed, including southern California and South Central Coast counties with no viable timber processing facilities. Site quality: This shows the productivity of timberland, based upon potential volume of wood (i.e. cubic feet) that can be produced per acre in a year. Site Class GIS data was produced by Wilson from Forest Service FIA data (using the same methods as for the Carbon storage layer), based upon FIA attribute SITECLCD – site productivity class code. It shows the potential timber volume produced at culmination of mean annual increment, in the standard classes used by the USFS. Large trees: Derived from FRAP vegetation layer FVEG15 (WHRSIZE), which in turn (for this attribute) came from CALVEG data of the USFS. Tree size class scores were 1=(6-11" DBH), 3=(11-24" DBH), and 5=(over 24" DBH). Threats: Fire threat: FRAP fire threat data (fthrt14_2) was derived from a combination of FRAP surface fuels data and large fire probability from the Fire Simulation (FSim) system developed by the US Forest Service Missoula, Montana Fire Sciences Laboratory. Fire Return Interval Departure (FRID): FRID shows the deviation from historic averages of fire occurrence. FRID from USFS Region 5 was used to prioritize areas most in need of treatment. FRID scores of 2, 3, and 4 were assigned scores of 1, 3, and 5 respectively. Composite Ranks: All assets were combined and the result ranked from 1 to 5 to derive a composite asset. Likewise, all threats were combined the results ranked from 1 to 5 to create a composite threat. The composite asset layer and composite threat ranks were then combined and classified to a final priority landscape rank for each 30m pixel. Watershed Ranking: A zonal mean of pixel ranks was then calculated for HUC12 watersheds (the smallest consistently delineated watershed, average approximately 24,000 acres). The end result is that each watershed is ranked from 1 (lowest threat) to 5 (highest threat) based on the combination of assets and threats and averaged by watershed. Watershed boundaries used were from the National Hydrography Dataset Watershed Boundary Dataset. This dataset was developed in 2018 to support the California Assessment of Forest and Rangelands. California. Department of Forestry and Fire Protection. (2018). Reducing Wildfire Risk to Forest Ecosystem Services, California, 2018. California. Department of Forestry and Fire Protection. Available at: https://purl.stanford.edu/nw945zv2996 This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.