Fire Stations in New Mexico Any location where fire fighters are stationed or based out of, or where equipment that such personnel use in carrying out their jobs is stored for ready use. Fire Departments not having a permanent location are included, in which case their location has been depicted at the city/town hall or at the center of their service area if a city/town hall does not exist. This dataset includes those locations primarily engaged in forest or grasslands fire fighting, including fire lookout towers if the towers are in current use for fire protection purposes. This dataset includes both private and governmental entities. Fire fighting training academies are also included. This dataset is comprised completely of license free data. The Fire Station dataset and the EMS dataset were merged into one working file. TGS processed as one file and then separated for delivery purposes. Records with "-DOD" appended to the end of the [NAME] value are located on a military base, as defined by the Defense Installation Spatial Data Infrastructure (DISDI) military installations and military range boundaries. Text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. All diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics. The currentness of this dataset is indicated by the [CONTDATE] field. Based upon this field, the oldest record dates from 01/31/2005 and the newest record dates from 07/17/2008.

This service displays point locations for the Las Cruces Fire Departments (LCFD) fire stations. Data is updated, maintained and published from the enterprise GIS database to reflect the most recent information for the City of Las Cruces. The fire departments within the County have partnered, this layer reflects the city and other fire departments as they all work together to put out fires without the hindrance of municipal boundaries.Layer Type: PointData Owner: Fire DepartmentAuthoritative: YesDownloadable: YesInitial Dataset Creation: UnknownLast update: UnknownUpdate Frequency: As necessaryReason for Update: Data creation and maintenanceFilters Applied: N/ASource data: N/AProjected Coordinate System: N/ALimitations:

This publication contains spatial data, tabular data and scripts used to analyze the spatial patterns of refugia and associated plant communities following each of several fires in northern New Mexico. Four of the geotiff files were derived during the project (*Kernel.tif) using dNBR (delta Normalized Burn Ratio) or dNDVI (delta Normalized Difference Vegetation Index). The kernel raster data represent density of unburned/low severity grid cells in approximately 10-hectare neighborhoods following the Cerro Grande, Dome, La Mesa, and Las Conchas fire events in 2000, 1996, 1977, and 2011, respectively. The data were produced using a kernel smooth process, with output values range from 0 to 1, representing a gradient in neighborhood density of refugia. In addition, geotiff files of the dNBR for Las Conchas (this version is not available at mtbs.gov, but was provided for the study by S. Howard, USGS-EROS), the dNDVI for La Mesa and the La Mesa footprint (both developed for the Fire atlas for the Gila and Aldo Leopold Wilderness Areas project; https://doi.org/10.2737/RDS-2015-0023) are also included. Finally, the archive contains a digital elevation model (developed by USGS-EROS), cropped to the study area; the DEM was used to derive terrain metrics describing topographic heterogeneity at local and catchment scales. The text files contain R scripts and associated tabular data that can be used to repeat the analysis presented in the publication by performing the following functions: 1) generate the kernel rasters (kernel geotiffs described, above); 2) generate terrain metrics from DEM (geotiff included), 3) sample the kernel rasters, terrain metric outputs and 1 kilometer resolution bioclimatic data (downloaded from https://adaptwest.databasin.org/pages/adaptwest-climatena); 4) develop environmental models from the raster sample data (text file included); and 5) conduct a multivariate analysis of species and communities using species data recorded in the field (text file included).

This dataset was compiled for use in the Wildfire Decision Support System (WFDSS) and was last updated in June 2025. It is updated Annually. The data displayed in WFDSS represents a merged layer from original data sources (listed in the Data Information section below). Minor edits were performed on each of the source data sets to ensure a consistent attribution when combining them into the WFDSS version. The attributes of each layer were edited to attach the NWCG Unit ID, Unit Name, and Agency to each polygon. These edits did not impact the original integrity of the data, and no polygons were changed, removed, or added.Caution:The data displayed in WFDSS are intended for STRATEGIC USE ONLY. Always verify the positional accuracy of the data with local knowledge. Verify data accuracy and current updates with the original authoritative sources listed below. Extent:Data have only been submitted for the states of Alaska, California, Idaho, Minnesota, Montana, New Mexico, and UtahAlaskaSource: Alaska Fire Service Currency: 03/05/2025 California Source: California Wildland Fire Coordinating Group v25_2ACurrency: 07/21/2025Link: https://ftp.wildfire.gov/public/incident_specific_data/california_statewide/DPA/DPA_Data/ Idaho Source: USFS Region 4 Fire GISCurrency: 06/12/2025 MinnesotaSource: Minnesota Interagency Fire CenterCurrency: 03/01/2023 Montana Source: Montana DNRCCurrency: 01/2025Link: https://experience.arcgis.com/experience/ac5c457bf2db496989bd6b12107cdd41/page/Current-Protection-IDs/ New MexicoSource: BLM New Mexico State OfficeCurrency:11/30/2023Link: https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-nm-fire-initial-attack-zones/explore UtahSource: BLM Utah State Office Currency: 02/14/2024Link: https://nifc.maps.arcgis.com/home/item.html?id=60b09eae030449a7b5133ada237d8dd1Updates:Contact Wildland Fire Management Research, Development & Application with questions or comments: wfmrda.datasupport@firenet.gov

Initial Attack operations are the actions taken by the first units to arrive at a wildfire to protect lives and property, and prevent further extension of the fire. This dataset depicts areas in which each cooperating agency has Initial Attack responsibility when fire incidents occur. The Initial Attack Zones are boundaries that are agreed upon by all cooperating agencies and updated and maintained annually by the New Mexico BLM State Office Fire Program and GIS program with input from various Dispatch Zone boards. These zone boards have representation from all the agencies involved with Fire opperations within that Dispatch Zone. Decisions on changes or updates of the Initial Attack zones are made at the Zone Board Meetings that take place annually, usually before the height of the Fire Season.

The relationship between climate and wildfire area burned suggests how fire regimes may respond to a changing climate. This West-wide data publication contains a 27-year record (1980-2006) of climatological variables used to develop statistical models of area burned that can be projected into the future. We provide a separate file for each of the 56 Bailey's ecosections (Bailey 2016) across the West, with annual area burned and 112 climate predictor variables such as evapotranspiration, precipitation, relative humidity, soil moisture, snow-water equivalent, minimum and maximum temperature, and vapor pressure deficit. These historical and future hydroclimate projections and historical fire area burned data were derived for McKenzie and Littell (2016).This 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 For complete information, please visit https://data.gov.

Managing 245 million acres of land and 700 million acres of mineral estate is a big task. The BLM recognizes that geospatial information is a critical tool for managing public lands. We’ve already made great strides in creating national datasets, supporting almost every program in the Bureau. The BLM has adopted a ground-up approach to managing public lands, and the geospatial program is providing the structure and tools to accomplish this strategy. We manage spatial data to support multiple activities at varying scales.

The BLM's geospatial strategy focuses on collection, organization, and use of baseline resource management data, like fenceline and transportation data and enhancing predictions based on geospatial data. Examples of activities that require geospatial data include planning and resource management, special status species monitoring, regional mitigation, and renewable energy projects, just to name a few.

An important factor in implementing our strategy is using a geographic information system (GIS) that is consistent and integrated within the Bureau and the Department of the Interior. This internal cohesion enhances the BLM's ability to partner with other Federal agencies, collaborate with State and Tribal governments, and communicate with the public.

This app contains addresses data, critical infrastructure, and floodplain information for San Juan County, NM. Use this application to return floodplain information for various features within the county. The data layers used in this application include: addresses, SJC_2017 Imagery, HIFLD_Admin layers for Public Schools, Police Stations, Hospitals, and Fire stations. The basis for this web app is the web map titled "Floodplain Inquiry Map - Updated Symbology".

This service includes point locations of City owned fire hydrants that are managed by City Water Utilities. Data is updated, maintained and published from the enterprise GIS database to reflect the most recent information for the City of Las Cruces. Layer Type: PointData Owner: Utilities (Water)Authoritative: YesDownloadable: YesInitial Dataset Creation: UnknownLast update: As necessaryUpdate Frequency: WeeklyReason for Update: Data creation and maintenanceFilters Applied: N/ASource data: N/AProjected Coordinate System: N/ALimitations: Does not include Moongate or Dona Ana water company hydrants

City facilities in Albuquerque, New Mexico. Including administrative offices, operations, libraries, sports facilities, police and fire stations, community and senior centers, museums, solid waste, and cultural services.

This is a map of Terrestrial Ecologic Unit Inventory data used during the Burned Area Emergency Response assessment and treatment effectiveness monitoring of the Signal Fire on the Gila National Forest in Southwestern New Mexico.This map is being used in R3 Gila NF TEUI BAER Signal Fire App web app for the National TEUI Hub Site.

This map depicts Large Wildland Fires of the Southwestern Region of the United States Forest Service. Large fires are defined as greater than 100 acres. Data included are fire polygons for the years 2000 through 2019. Forest Service Fires are any fire occurring on or part of the National Forest System Lands. The Southwestern Region consists of lands managed by the Forest Service in Arizona, New Mexico, the panhandle of Oklahoma, and potions of Texas south of the panhandle. Updates to this map should occur annually as new fire seasons occur. Polygons are color ramped from Green (year 2000) to Red (year 2019).

This dataset is the Wildfire Hazard Potential (WHP) for the United States. It is part of the Wildfire Risk to Communities: Spatial datasets of landscape-wide wildfire risk components for the United States. WHP is an index that quantifies the relative potential for wildfire that may be difficult to control, used as a measure to help prioritize where fuel treatments may be needed. See Dillon et al. (2015) for a full description, or https://www.firelab.org/project/wildfire-hazard-potential for additional information and companion data for the U.S. at 270-m pixel resolution. Vegetation and wildland fuels data from LANDFIRE 2014 (version 1.4.0) form the foundation for the Wildfire Risk to Communities data. As such, the data presented here reflect landscape conditions as of the end of 2014. National wildfire hazard datasets of annual burn probability and fire intensity were generated from the LANDFIRE 2014 data by the USDA Forest Service, Rocky Mountain Research Station (Short et al. 2020) using the large fire simulation system (FSim). These national datasets produced with FSim have a relatively coarse cell size of 270 meters (m). To bring these datasets down to a finer resolution more useful for assessing hazard and risk to communities, we upsampled them to the native 30 m resolution of the LANDFIRE fuel and vegetation data. In this upsampling process, we also spread values of modeled burn probability and intensity into developed areas represented in LANDFIRE fuels data as non-burnable. Additional methodology documentation is provided with the data publication download. Metadata and Downloads.Note: Pixel values in this image service have been altered from the original raster dataset due to data requirements in web services. The service is intended primarily for data visualization. Relative values and spatial patterns have been largely preserved in the service, but users are encouraged to download the source data for quantitative analysis.Dillon, Gregory K.; Menakis, James; Fay, Frank. 2015. Wildland fire potential: A tool for assessing wildfire risk and fuels management needs. In: Keane, Robert E.; Jolly, Matt; Parsons, Russell; Riley, Karin. Proceedings of the large wildland fires conference; May 19-23, 2014; Missoula, MT. Proc. RMRS-P-73. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. p. 60-76. https://www.fs.usda.gov/treesearch/pubs/49429LayersRMRS_WRC_WildfireHazardPotentialTerms of UseThese data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation: Scott, Joe H.; Gilbertson-Day, Julie W.; Moran, Christopher; Dillon, Gregory K.; Short, Karen C.; Vogler, Kevin C. 2020. Wildfire Risk to Communities: Spatial datasets of landscape-wide wildfire risk components for the United States. Fort Collins, CO: Forest Service Research Data Archive. More information. The data presented here are the product of modeling, and as such carry an inherent degree of error and uncertainty. Users are strongly encouraged to read and fully comprehend the metadata and other available documentation prior to data use. No warranty is made by the Originator as to the accuracy, reliability, or completeness of these data for individual use or aggregate use with other data, or for purposes not intended by the Originator. These datasets are intended to provide nationally-consistent information for the purpose of comparing relative wildfire risk among communities nationally or within a state or county. Data included here are not intended to replace locally-calibrated state, regional, or local risk assessments where they exist. It is the responsibility of the user to be familiar with the value, assumptions, and limitations of these national data publications. Managers and planners must evaluate these data according to the scale and requirements specific to their needs. Spatial information may not meet National Map Accuracy Standards. This information may be updated without notification.As a work of the United States Government, these data are within the public domain of the United States. Additionally, The U.S. Forest Service waives copyright and related rights in the work worldwide through the CC0 1.0 Universal Public Domain Dedication (which can be found at this link).

This is a collection of aerial digital orthophotos covering selected U.S. Forest Service and adjoining lands in the Southwest Region, encompassing Arizona and New Mexico. The data are presented in a time-enabled format, allowing the end-user to view available data year-by-year, or all available years at once, within a GIS system. The data encompass varying years from 2000 to the present, varying resolutions, and varying geographic extents, dependent upon available imagery as provided by the region. The data contains four bands, representing red, green, blue, and near-infrared wavelengths, making the data suitable for analysis using either a true-color band combination (red, green, blue) or using a false-color band combination (eg. near-infrared, red, green).The data contains an attribute table. Notable attributes that may be of interest to an end-user are:lowps: the pixel size of the source raster, given in meters.highps: the pixel size of the top-most pyramid for the raster, given in meters.beginyear: the first year of data acquisition for an individual dataset.endyear: the final year of data acquisition for an individual dataset.dataset_name: the name of the individual dataset within the collection.metadata: A URL link to a file on IIPP's Portal containing metadata pertaining to an individual dataset within the image service.resolution: The pixel size of the source raster, given in meters.A digital orthophoto is a georeferenced image prepared from aerial imagery, or other remotely-sensed data in which the displacement within the image due to sensor orientation and terrain relief has been removed. Orthophotos combine the characteristics of an image with the geometric qualities of a map. Orthoimages show ground features such as roads, buildings, and streams in their proper positions, without the distortion characteristic of unrectified aerial imagery. Digital orthoimages produced and used within the Forest Service are developed from imagery acquired through various national and regional image acquisition programs. The resulting orthoimages, also known as orthomaps, can be directly applied in remote sensing, GIS and mapping applications. They serve a variety of purposes, from interim maps to references for earth science investigations and analysis. Because of the orthographic property, an orthoimage can be used like a map for measurement of distances, angles, and areas with scale being constant everywhere. Also, they can be used as map layers in GIS or other computer-based manipulation, overlaying, and analysis. An orthoimage differs from a map in a manner of depiction of detail; on a map only selected detail is shown by conventional symbols, whereas on an orthoimage all details appear just as in original aerial or satellite imagery.

This data publication contains the results from 45 experimental burns and 48 smoldering tests on masticated materials from mixed-conifer forests. These data were collected from 15 study locations from 2012 through 2016 as part of the MASTIDON project. The MASTIDON project was a four-year study to describe the phyical characteristics of masticated materials that were treated with four different cutting heads in xeric and mesic environments. The main focus of the project was to evaluate how leaving the particles on the ground for varying lengths of time affected the burnability of the particles. The project was funded by the Joint Fire Sciences Program (JFSP) and RMRS between 2013 and 2016. The masticated particles were created by four different machines, including a vertical rotating head, horizontal drum, chipper, and mower. They had been decomposing in situ in wet and dry areas of Idaho, and dry areas of Colorado, New Mexico, and South Dakota since their initial treatment and were between 0 and 10 years old. The materials were burned at the RMRS Missoula Fire Sciences lab, Missoula, MT. The experimental burns were conducted in a combustion facility on a large fuel bed 0.68 square meters in size. The smoldering tests were conducted on beds 497 square centimeters in size under a fume hood in the soils laboratory. This download includes (1) data on fire behavior within the experimental burns, including rate of spread, flame height, flame duration, consumption, heat flux, moisture content, and more; (2) temperature data, burn durations, duff moistures and thicknesses from the smoldering tests; (3) photos of the experimental burn beds and smoldering beds; and (4) files describing the MASTIDON project and its goals.

When state environment workers were taking groundwater samples in downtown Albuquerque back in the 1990s, they discovered a large plume of a solvent called trichloroethylene, or TCE—a toxic chemical that causes cancer and birth defects—just 35 feet below the ground.The Environment Department eventually traced the source of the TCE plume to an old industrial brick building near downtown Albuquerque owned by Laun-Dry Supply Company, a business that distributes dry cleaning chemicals. Over time, those chemicals seeped into the ground and spread through the shallow groundwater at least a mile and a half east under Creamland Dairies and other businesses, under a fire station, into a couple of cemeteries, and maybe even under people’s homes. Read the full story for more information.The map below shows the most recent test results for TCE and perchloroethylene or PCE at wells near the Laun-Dry site. Although this contamination has been there for decades, as recently as January 2015, levels at one well near the Laun-Dry site were 1,600 parts per billion, or 16 times the state groundwater standards. Older readings were significantly higher. The water flows to the Northeast, and the northern, southern, and eastern boundaries of the plume are not well known.

USACE Flood Fighting Booklet that contains best practices for filling and placing sand bags.