AndreaBozzo/ceres-open-data-index huggingface dataset:
Greater Sage-grouse Range - NE CA - 2005 [ds96]

<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 6 0;"><SPAN><SPAN>This dataset was developed to map changes in greater sage-grouse range over time in northeastern California.  Records in this dataset represent current and historic range.  Current and historic range were mapped and reported on by Frank Hall in Determining Changes in Abundance of Sage-Grouse (Centrocercus urophasianus) in California, August 1995.  The ranges were hand drawn on 1:250,000 scale USGS maps and then digitized in ArcInfo. For a larger range mapping project and range continuity, input from DFG and BLM wildlife biologists in northern California, southern Oregon, and western Nevada was collected using the same methods; hand drawn ranges on 1:250,000 scale USGS maps and then digitized in ArcInfo.  In 2005, Hall modified the current range that is represented in this dataset.      Number of records:  There are 9 polygons representing current or historic range.    Geographic extent of records:  Extent includes Siskiyou, Modoc, Lassen, Sierra, Plumas, and Shasta Counties in California.</SPAN></SPAN></P></DIV></DIV></DIV>

Tags: Auth_CDFW, CAOpenData, CDFW, California Department of Fish And Wildlife, California Natural Resources Agency, DS0096_20050602_wm, bird, cn greater sage-grouse, distribution, management, sn Centrocercus urophasianus, special status species
Organization: California Department of Fish and Wildlife
Stream Habitat Reach Summary - Russian River [ds77]

Results of in-stream habitat surveys (Downie et al 1998 method), summarized by stream reach, for DFG surveys conducted between 1994 and 2001 (inclusive) in the Russian River Basin (CalWater 2.2.1 hydrologic area), Central Coast Region. Sampled habitat parameters, including pool type, frequency and depth; substrate class; bank vegetation composition and canopy closure; and in-stream cover, were measured at the unit scale and summarized to stream reach.

Tags: Auth_CDFW, CAOpenData, CDFW, California Department of Fish And Wildlife, California Natural Resources Agency, DS0077_20041109_wm, fish, habitat attributes, inventory, management, planning, vegetation
Organization: California Department of Fish and Wildlife
Utility Wind Project Size by County and State: 2022

<div>This map illustrates the variety of median plant capacity sizes across the United States and California counties for wind plants whose total nameplate capacity is greater than or equal to 1 MW. The absence of plants in the southeastern United States and California is attributable to low average wind speeds (United States - Annual Average Wind Speed, AWS Truepower and National Renewable Energy Lab). Hurricane strength winds are not usable with current technology. Median plant capacity is a function of the statewide capacity and the number of plants within the defined area.</div>

Tags: CAOpenData, California Energy Commission, California Natural Resources Agency, EAD, PDF
Organization: California Energy Commission
Sierra Meadows Project [ds4]

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Recognizing Montane Meadows and Quaking Aspen communities are a rare and valuable resource to plant and animal species in the Sierra Nevada, this project represents the beginning of a monitoring strategy for the conservation management of these ecosystems. The projects goals and objectives are to develop an accurate inventory of these systems, including high-resolution mapping and classification of community types, and surveys of selected terrestrial and aquatic animal species which depend on them. Other inventory related products include 360° photography, online survey reports and dynamic maps. In addition, refinements to electronic data collection tools and applications are provided to enhance future assessment programs.</SPAN></P></DIV></DIV></DIV>

Tags: Auth_CDFW, CAOpenData, CDFW, California Department of Fish And Wildlife, California Natural Resources Agency, DS0004_20040402_wm, amphibian, bird, distribution, habitat, habitat attributes, inventory, mammal, management, monitoring, multi-species, plant, sample, special status species
Organization: California Department of Fish and Wildlife
NLCD 2001 Land Cover California Subset

<div style='text-align:Left;'><div><div><p><span>The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.</span></p></div></div></div>

Tags: CDFW, California, GIS, Image Service, Image processing, Land Use Land Cover Theme, Land cover, NGDA, National Geospatial Data Asset, U.S., U.S. Geological Survey USGS, US, United States, biota, digital spatial data, imageryBaseMapsEarthCover
Organization: California Department of Fish and Wildlife
NLCD 2004 Land Cover California Subset

<div style='text-align:Left;'><div><div><p><span>The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.</span></p></div></div></div>

Tags: CDFW, California, GIS, Image Service, Image processing, Land Use Land Cover Theme, Land cover, NGDA, National Geospatial Data Asset, U.S., U.S. Geological Survey USGS, US, United States, biota, digital spatial data, imageryBaseMapsEarthCover
Organization: California Department of Fish and Wildlife
NLCD 2006 Land Cover California Subset

<div style='text-align:Left;'><div><div><p><span>The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.</span></p></div></div></div>

Tags: CDFW, California, GIS, Image Service, Image processing, Land Use Land Cover Theme, Land cover, NGDA, National Geospatial Data Asset, U.S., U.S. Geological Survey USGS, US, United States, biota, digital spatial data, imageryBaseMapsEarthCover
Organization: California Department of Fish and Wildlife
NLCD 2008 Land Cover California Subset

<div style='text-align:Left;'><div><div><p><span>The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.</span></p></div></div></div>

Tags: CDFW, California, GIS, Image Service, Image processing, Land Use Land Cover Theme, Land cover, NGDA, National Geospatial Data Asset, U.S., U.S. Geological Survey USGS, US, United States, biota, digital spatial data, imageryBaseMapsEarthCover
Organization: California Department of Fish and Wildlife
NLCD 2011 Land Cover California Subset

<div style='text-align:Left;'><div><div><p><span>The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.</span></p></div></div></div>

Tags: CDFW, California, GIS, Image Service, Image processing, Land Use Land Cover Theme, Land cover, NGDA, National Geospatial Data Asset, U.S., U.S. Geological Survey USGS, US, United States, digital spatial data, imageryBaseMapsEarthCover
Organization: California Department of Fish and Wildlife
NLCD 2013 Land Cover California Subset

<div style='text-align:Left;'><div><div><p><span>The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.</span></p></div></div></div>

Tags: CDFW, California, GIS, Image Service, Image processing, Land Use Land Cover Theme, Land cover, NGDA, National Geospatial Data Asset, U.S., U.S. Geological Survey USGS, US, United States, biota, digital spatial data, imageryBaseMapsEarthCover
Organization: California Department of Fish and Wildlife
NLCD 2019 Land Cover California Subset

<div style='text-align:Left;'><div><div><p><span>The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011, and 2016. The 2016 release saw landcover created for additional years of 2003, 2008, and 2013. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2019. The NLCD 2019 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2019 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2019: continued integration between impervious surface and all landcover products with impervious surface being directly mapped as developed classes in the landcover, a streamlined compositing process for assembling and preprocessing based on Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2019 production. The performance of the developed strategies and methods were tested in twenty composite referenced areas throughout the conterminous U.S. An overall accuracy assessment from the 2016 publication give a 91% overall landcover accuracy, with the developed classes also showing a 91% accuracy in overall developed. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2019 operational mapping. Questions about the NLCD 2019 land cover product can be directed to the NLCD 2019 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.</span></p></div></div></div>

Tags: CDFW, California, GIS, Image Service, Image processing, Land Use Land Cover Theme, Land cover, NGDA, National Geospatial Data Asset, U.S., U.S. Geological Survey USGS, US, United States, biota, digital spatial data, imageryBaseMapsEarthCover
Organization: California Department of Fish and Wildlife