MMD uses a Geographic Information System (GIS) to locate and track its mining activities in the state. This is a computer system that can capture, store, analyze and display geographically referenced (location) information. The power of this system is its ability to draw conclusions about relationships between data that have a spatial component. GIS provides a method of displaying accurate mapping and database information to the staff and public.
This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.
The Climate Risk Map is designed to help New Mexico communities and residents learn more about factors that contribute to their climate change risk. You can visualize data related to air quality, drought, heat, flooding, and wildfire in New Mexico. Use the reporting feature to generate a local data summary for any city, county, or tribal land area in New Mexico. Use the print feature to generate a map image with your data of choice.
There is a user guide to help answer questions about navigating the map, located at https://edac.unm.edu/projects/UserGuide/Climate_Map_User_Guide.pdf.
This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.
This map runs on this app: http://nmcdc.maps.arcgis.com/home/item.html?id=2088cfcae5e84568bee211db7e226c28Map depicts NRCS soil types in several layers of increasing detail as the zoom level is increased. Generated through ESRI ArcGIS Online services. It was assembled from ESRI and NRCS sources by Johnsonson Engineering.This map shows the Soil Survey Geographic (SSURGO) by the United States Department of Agriculture's Natural Resources Conservation Service. It also shows data that was developed by the National Cooperative Soil Survey and supersedes the State Soil Geographic (STATSGO) dataset published in 1994. SSURGO digitizing duplicates the original soil survey maps. This level of mapping is designed for use by landowners, townships, and county natural resource planning and management. The user should be knowledgeable of soils data and their characteristics. The smallest scale map shows the Global Soil Regions map by the United States Department of Agriculture’s Natural Resources Conservation Service.
This U.S. Geological Survey (USGS) data release presents the geospatial data used to assess the hydrologic resources and the potential effects from oil and gas development in the Bureau of Land Management Tri-County Planning Area, Sierra, Doña Ana, and Otero Counties, New Mexico. The USGS, in cooperation with the Bureau of Land Management (BLM), conducted a study to assess the hydrologic resources and potential effects from oil and gas development in the Tri-County planning area, Sierra, Doña Ana, and Otero Counties, New Mexico. Publicly available data were used to assess these resources and effects and to identify data gaps in the Tri-County planning area. These data support the following publication: Reference for the SIR goes here ####.
Various map tools from Oil Conservation Division (OCD) of EMNRD.
This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.
This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Data was compiled from published sources by US Geological Survey geoscientists Mark J. Mihalasky, Susan M. Hall and Robert A. Zielinski. This dataset was provided to the U.S. Energy Information Administration in February of 2019 to facilitate updating of national uranium resource distribution maps. The location of uranium provinces, districts and select important deposits located outside of these broader regions was taken from a variety of sources listed alphabetically below.Adams S.S.; Smith R.B., 1981, Geology and recognition criteria for sandstone uranium deposits in mixed fluvial-shallow marine sedimentary sequences, South Texas; U.S. Department of Energy Report GJBX-4(81), 145 p.Colorado Geological Survey, 2018, Uranium Districts – Colorado; published on the Colorado Geological Survey website at http://coloradogeologicalsurvey.org/energy-resources/uranium2/map/.Chenoweth, W.L., 1980, Uranium in Colorado; Rocky Mountain Association of Geologists, 1980 Symposium, p. 217-224Gloyn, R.W.; Bon, R.L.; Wakefield, S.; Krahulec, K., 2005, Uranium and vanadium map of Utah; Map 215, Utah Department of Natural Resources, Utah Geological Survey, 1:750,000 scale, 1 sheet. Metadata download at: https://gis.utah.gov/data/energy/uranium/Gregory R.W., 2016, Uranium: Geology and Applications; Wyoming State Geological Survey Public Information Circular No 46, 36 p.Keith, S.B.; Gest, D.E.; DeWitt, E; 1983, Metallic mineral districts of Arizona; Arizona Bureau of Geology and Mineral Technology, Geological Survey Branch, Tucson, AZ, 1:1,000,000 scale, 1 sheetKyle L, Beahm D, 2013, NI 43-101 preliminary economic assessment update (revised), Coles Hill uranium property, Pittsylvania County, VA USA; prepared by Lyntek Incorporated, Lakewood, CO; 2013, 126 p. Figure 1.1.McLemore, V.T. and Chenoweth, W.L., 1989, Uranium resources in New Mexico; New Mexico Bureau of Mines and Minerals Resources, Resource Map 18, 36 p. Available at: https://geoinfo.nmt.edu/faq/mining/home.html
The geodatabase is one of ten that – together with several supplementary geodatabases, a web map viewer, and a data dictionary – compose the Data Atlas (Atlas) component of the 2020 New Mexico Forest Action Plan (Forest Action Plan). This geodatabase contains building footprints and tree canopy.Integrated into the Atlas in 2019-2020 with wall-to-wall coverage across all jurisdictions in New Mexico, these data serve to guide the implementation of natural resource management strategies in New Mexico by the Forestry Division and its collaborators in accord with the Forest Action Plan. The data in the ten primary geodatabases characterize the spatial distribution and condition of forest and other natural resources (or, assets) valued by New Mexicans, major threat factors (or, hazards), and risk indices characterizing the susceptibility of resources to applicable threats. The data were prepared for use in spatial prioritization of resource protection and restoration strategies over 2020 – 2030 by the Forestry Division and its partners. Under direction of the New Mexico Forest and Watershed Health Coordinating Group (NMFWHCG), the Assessment was structured for spatial risk analysis by (a) grouping resource data into eight “themes” in accord with common beneficiaries and similarities in mapping approach, and (b) in preparing data for six major threat factors:Resource themes:Water Quality and Supply Wildland Communities Recreation and Cultural Use Timber and GrazingCarbon Sequestration and StorageBiodiversity Indigenous and Traditional Use Urban Forests and CommunitiesThreat factors:WildfirePost-wildfire Flooding, Erosion and Debris Flow Disease and InsectsClimate ChangeDevelopment and FragmentationUse and Forest Management ActivitiesGeodatabase Feature Classes• Mulitple_BldgPctCov• Multiple_Bldgs• Multiple_TreeCanopy_Composite_PctCovEach dataset’s membership in a resource or threat category is indicated by its file name (e.g., debris flow, which falls under the Post-wildfire Flooding, Erosion, and Debris Flow threat factor, is denoted as “NMFAP2020_Threat_Postfire_DebrisFlow”). Datasets for risk indices are named first by the affected resource, then with the word “risk” followed by the applicable threat (e.g., “NMFAP2020_Theme_Water_IrrigatorsAF_Surface_riskWildfire” is the index of risk from wildfire to acre-feet of surface water accessible to irrigators). In integrating the best available statewide spatial data for the Assessment, The Nature Conservancy (TNC) relied on contributions from a range of partner agencies, organizations, and individual researchers. Scope and detail of written documentation varied by source and dataset. In a few cases, understanding of data and confidence in their inclusion in the Assessment was assured through personal communication with the originators and/or discursive review by subject matter experts on technical panels convened around the resource themes. Metadata provided in the Atlas are written to conform to the information set exposed in the Item Description style of the ArcGIS Metadata format. Beyond this baseline, links to external references are provided whenever appropriate. If additional information on a dataset is sought beyond what is detailed in the Atlas and Assessment narrative, please contact the responsible entity or entities listed under the Credits metadata header for that item. Most of the raster data provided are 30 meter or coarser in resolution and are intended to guide prioritization of areas considered at scales generally no larger (i.e., no finer) than 1:100,000.
This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.
The Snow and Water Interactive Map displays both current and historic hydrometeorological data in an easy-to-use, visual interface. The Snow and Water Interactive Map displays both current and historic hydrometeorological data in an easy-to-use, visual interface. The information on the map comes from many sources. Natural Resources Conservation Service snowpack and precipitation data are derived from manually-collected snow courses and automated Snow Telemetry (SNOTEL) and Soil Climate Analysis Network (SCAN) stations. Other data sources include precipitation, streamflow, and reservoir data from the U.S. Bureau of Reclamation (BoR), the Applied Climate Information System (ACIS), the U.S. Geological Survey (USGS), and other hydrometeorological monitoring entities. Information supplied by the map is updated three times daily.
The Interactive Map has two regions: the map display (on the left) and the map controls (on the right). You use the map controls to determine both the display mode and the types of data and stations to show on the map.
This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.
description: The Digital Geologic Map of Canyon de Chelly National Monument and Vicinity, Arizona and New Mexico is composed of GIS data layers complete with ArcMap 9.2 layer (.LYR) files, two ancillary GIS tables, a Windows Help File with ancillary map text, figures and tables, a FGDC metadata record and a 9.2 ArcMap (.MXD) Document that displays the digital map in 9.2 ArcGIS. The data were completed as a component of the Geologic Resource Evaluation (GRE) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRE digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRE product are listed in the Source Citation sections(s) of this metadata record (cach_metadata.txt; available at http://nrdata.nps.gov/cach/nrdata/geology/gis/cach_metadata.xml). All GIS and ancillary tables were produced as per the NPS GRE Geology-GIS Geodatabase Data Model v. 2.0. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data is available as a 9.2 personal geodatabase (cach_geology.mdb), and as shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 12N. That data is within the area of interest of Canyon de Chelly National Monument.; abstract: The Digital Geologic Map of Canyon de Chelly National Monument and Vicinity, Arizona and New Mexico is composed of GIS data layers complete with ArcMap 9.2 layer (.LYR) files, two ancillary GIS tables, a Windows Help File with ancillary map text, figures and tables, a FGDC metadata record and a 9.2 ArcMap (.MXD) Document that displays the digital map in 9.2 ArcGIS. The data were completed as a component of the Geologic Resource Evaluation (GRE) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRE digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRE product are listed in the Source Citation sections(s) of this metadata record (cach_metadata.txt; available at http://nrdata.nps.gov/cach/nrdata/geology/gis/cach_metadata.xml). All GIS and ancillary tables were produced as per the NPS GRE Geology-GIS Geodatabase Data Model v. 2.0. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data is available as a 9.2 personal geodatabase (cach_geology.mdb), and as shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 12N. That data is within the area of interest of Canyon de Chelly National Monument.
Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
License information was derived automatically
NMFWRI represents the state’s only dedicated capability for supporting the spatial data analysis needs of external stakeholders in the natural resources sector, as well as the GIS/GPS capacity for Highlands University and for most of northern New Mexico. NMFWRI’s GIS work also provides help with maps and other geographic information to New Mexico groups engaged in forest restoration and land management, but who are too small to maintain their own GIS capability. These groups include soil and water conservation districts, municipalities, private groups and individuals, and tribal organizations.
This map runs on this app: http://nmcdc.maps.arcgis.com/home/item.html?id=2088cfcae5e84568bee211db7e226c28Map depicts NRCS soil types in several layers of increasing detail as the zoom level is increased. Generated through ESRI ArcGIS Online services. It was assembled from ESRI and NRCS sources by Johnsonson Engineering.This map shows the Soil Survey Geographic (SSURGO) by the United States Department of Agriculture's Natural Resources Conservation Service. It also shows data that was developed by the National Cooperative Soil Survey and supersedes the State Soil Geographic (STATSGO) dataset published in 1994. SSURGO digitizing duplicates the original soil survey maps. This level of mapping is designed for use by landowners, townships, and county natural resource planning and management. The user should be knowledgeable of soils data and their characteristics. The smallest scale map shows the Global Soil Regions map by the United States Department of Agriculture’s Natural Resources Conservation Service.
Empty geodatabase schema for GIS as-built submissions of new gathering pipeline or natural gas gathering system as defined in 19.15.28.9 NMAC.“Natural gas gathering system” means the gathering pipelines and associated facilities that compress, dehydrate, or treat natural gas after the custody transfer point and ending at the connection point with a natural gas processing plant or transmission or distribution system. 19.15.28.7 NMAC.“Gathering pipeline” means a pipeline that gathers natural gas within a natural gas gathering system. 19.15.28.7 NMAC.“Release” No later than July 1st of each year, the operator shall also file with the division an updated system map GIS digitally formatted as-built map of its gathering pipeline or natural gas gathering system, which shall include a GIS layer that identifies the date, location and volume of vented or flared natural gas of each emergency, malfunction and release reported to the division since 19.15.28 NMAC became applicable to the pipeline or system. System Maps will be submitted to OCD in the Esri file geodatabase format.Do not submit Esri shapefile, personal geodatabase, or other raw formats. Do not submit GIS files that were converted to a file geodatabase format without following the required database template.File Geodatabase and feature layers must use an underscore, rather than a period or space, when naming files. (ex. FacID_Date_NGGS)
A CRA map delineation is defined as a geographical area where resource concerns, problems, or treatment needs are similar. It is considered a subdivision of an existing Major Land Resource Area (MLRA) map delineation or polygon. Landscape conditions, soil, climate, human considerations, and other natural resource information are used to determine the geographic boundaries of a Common Resource Area (GM450 C401.21). The database for the Digital General Soil Map of the U.S. (formerly STATSGO) is considered useful in subdividing the MLRA. The naming convention for CRAs is the MLRA symbol, followed by a dot and a numeric code (e.g., 102C.3 or 72.6). CRA symbols are correlated across state boundaries to ensure a nationally consistent CRA legend (GM450 C401.21)
This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.
MMD uses a Geographic Information System (GIS) to locate and track its mining activities in the state. This is a computer system that can capture, store, analyze and display geographically referenced (location) information. The power of this system is its ability to draw conclusions about relationships between data that have a spatial component. GIS provides a method of displaying accurate mapping and database information to the staff and public.