Geospatial data about Delta County, Colorado Buildings. Export to CAD, GIS, PDF, CSV and access via API.

The purpose of Colorado Geological Survey’s (CGS) Open-File Report 15-09, Geologic Map of the North Delta Quadrangle, Delta County, Colorado is to describe the geology, mineral and ground-water resource potential, and geologic hazards of this 7.5-minute quadrangle located in western Colorado. CGS staff geologists David Noe and Jonathan White along field assistant Michele Nelson completed the field work on this project during the summers of 2009 and 2010. The geologic map plates were created using field maps, structural measurements, photographs, and field notes generated by the investigators.

Geospatial data about Delta County, Colorado Addresses. Export to CAD, GIS, PDF, CSV and access via API.

2' elevation contours for Delta Twp., Eaton County, Michigan, USA. These are derived from a 4ft DEM built from our 2010 Lidar flight.

The purpose of Open-File Report 15-08, a Geologic Map of the Lazear Quadrangle, Delta County, Colorado is to describe the geology, mineral and ground-water resource potential, and geologic hazards of this 7.5-minute quadrangle located east of Delta in western Colorado. CGS staff geologist David Noe and field assistants Zachary Logan, Kevin McCall, and Geoffrey Warden completed the field work on this project during the summers of 2010 and 2011. The geologic map plates were created using field maps, structural measurements, photographs, and field notes generated by the investigators. Adobe PDF and ESRI ArcGIS download. OF-15-08

The use of high-resolution LiDAR, and the products derived from it, allow for levee anatomy to be captured for the surveyed area. The resulting data is a catalog of precise levee location and components. This data can further be used for levee maintenance and management, flood modeling and prediction, as well as levee inventories.

Geospatial data about Colorado BLM Wilderness Area. Export to CAD, GIS, PDF, CSV and access via API.

Geospatial data about Colorado BLM National Conservation Area. Export to CAD, GIS, PDF, CSV and access via API.

These data are benthic study GIS shapefiles (.shp, .shx, .prj) with associated .dbf attribute tables and specific Federal Geographic Data Committee metadata. A generalized browse graphic was generated at the NODC and included with these data. The data were developed to support ecosystem based management in the Humboldt Bay region. The focus of the mapping was on shallow water benthic habitats with particular concern for eelgrass meadows. The study area covers Arcata (North) Bay, Entrance Bay, South Bay and the Eel River Delta, Humboldt County, California.

Map of city limits data for Bowie, Cass, Delta, Franklin, Hopkins, Lamar, Morris, Red River, and Titus Counties within Texas and Miller County, Arkansas.For questions, problems, or more information, contact gis@atcog.orghttps://atcog.org/

This data represents a land use survey of San Joaquin County conducted by the California Department of Water Resources, North Central Region Office staff. Land use field boundaries were digitized with ArcGIS 10.5.1 using 2016 NAIP as the base, and Google Earth and Sentinel-2 imagery website were used as reference as well. Agricultural fields were delineated by following actual field boundaries instead of using the centerlines of roads to represent the field borders. Field boundaries were not drawn to represent legal parcel (ownership) boundaries and are not meant to be used as parcel boundaries. The field work for this survey was conducted from July 2017 through August 2017. Images, land use boundaries and ESRI ArcMap software were loaded onto Surface Pro tablet PCs that were used as the field data collection tools. Staff took these Surface Pro tablet into the field and virtually all agricultural fields were visited to identify the land use. Global positioning System (GPS) units connected to the laptops were used to confirm the surveyor's location with respect to the fields. Land use codes were digitized in the field using dropdown selections from defined domains. Agricultural fields the staff were unable to access were designated 'E' in the Class field for Entry Denied in accordance with the 2016 Land Use Legend. The areas designated with 'E' were also interpreted using a combination of Google Earth, Sentinel-2 Imagery website, Land IQ (LIQ) 2017 Delta Survey, and the county of San Joaquin 2017 Agriculture GIS feature class. Upon completion of the survey, a Python script was used to convert the data table into the standard land use format. ArcGIS geoprocessing tools and topology rules were used to locate errors for quality control. The primary focus of this land use survey is mapping agricultural fields. Urban residences and other urban areas were delineated using aerial photo interpretation. Some urban areas may have been missed. Rural residential land use was delineated by drawing polygons to surround houses and other buildings along with some of the surrounding land. These footprint areas do not represent the entire footprint of urban land. Water source information was not collected for this land use survey. Therefore, the water source has been designated as Unknown. Before final processing, standard quality control procedures were performed jointly by staff at DWR’s North Central Region, and at DRA's headquarters office under the leadership of Muffet Wilkerson, Senior Land and Water Use Supervisor. After quality control procedures were completed, the data was finalized. The positional accuracy of the digital line work, which is based upon the orthorectified NAIP imagery, is approximately 6 meters. The land use attribute accuracy for agricultural fields is high, because almost every delineated field was visited by a surveyor. The accuracy is 95 percent because some errors may have occurred. Possible sources of attribute errors are: a) Human error in the identification of crop types, b) Data entry errors. The 2017 San Joaquin County land use survey data was developed by the State of California, Department of Water Resources (DWR) through its Division of Regional Assistance (DRA). Land use boundaries were digitized, and land use was mapped by staff of DWR’s North Central Region using 2016 United States Department of Agriculture (USDA) National Agriculture Imagery Program (NAIP) one-meter resolution digital imagery, Sentinel-2 satellite imagery, and the Google Earth website. Land use polygons in agricultural areas were mapped in greater detail than areas of urban or native vegetation. Quality control procedures were performed jointly by staff at DWR’s DRA headquarters, and North Central Region. This data was developed to aid DWR’s ongoing efforts to monitor land use for the main purpose of determining current and projected water uses.