Mexico GIS data

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Deslizamiento de laderas sin probabilidad de ocurrencia regionalizada en Baja California, Baja California Sur, Eje Neovolcánico, Golfo California, Chihuahua, Durango, Golfo Norte, Golfo de México, Pacífico Norte y Pacífico Sur.

Mexico administrative level 0-2 boundaries (COD-AB) dataset version 02. This dataset is structured into 2 levels: - Admin 1: 32 - Admin 2: 2457 Dates associated with this dataset: - 20 December 2024: dataset reviewed for accuracy and completeness - 18 June 2021: valid for use by the humanitarian community - 23 June 2020: last edit to the dataset before publishing - 23 June 2020: boundaries created by the source Contributed by OCHA Latin America and the Caribbean (ROLAC). Quality assured, configured, and published by OCHA Field Information Services (FIS) and HDX. Part of the dataset: Global Subnational Administrative Boundaries

**ADAM ID: **1001317\_30 Tropical storm during the period Sep 01 2026-Sep 08 2026 in Mexico. The center of the storm was located near latitude 25.8 longitude -127.4. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

This dataset contains building footprints mapped in OpenStreetMap as part of the LATAM Regional Mapatón 2026 in Mexico. The data were generated by volunteers participating in the regional mapping campaign conducted from 13 June to 31 July 2026. The mapping focused on priority areas identified according to disaster risk exposure and vulnerability. The resulting open geospatial data can support disaster preparedness, risk analysis, local planning and climate change adaptation.

**ADAM ID: **1001325\_9 Category 5 during the period Sep 21 2026-Sep 22 2026 in Mexico. The center of the storm was located near latitude 14.6 longitude -101.5. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

**ADAM ID: **1001329\_57 Tropical storm during the period Sep 27 2026-Oct 11 2026 in Mexico. The center of the storm was located near latitude 32.9 longitude -116.1. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

**ADAM ID: **1001335\_38 Tropical depression during the period Oct 07 2026-Oct 16 2026 in México. The center of the storm was located near latitude 21.5 longitude -110.3. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

**ADAM ID: **1001337\_26 Tropical storm during the period Oct 13 2026-Oct 19 2026 in México. The center of the storm was located near latitude 19.3 longitude -107.9. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

Date of Images: 5/5/2024 Date of Next Image: N/A Summary: Scientists at NASA's Marshall Space Flight Center created these water extents on May 5, 2024 using PlanetScope imagery. These images can be used to see where open water is visible at the time of the satellite overpass. This product shows all water detected and differentiates between normal water areas and some flooded areas. This product was classified using WorldCover. It's important to note that all flooded areas may not be captured due to the sensors limitations of not being able to "see" through vegetation and buildings. To determine where additional flooding may have occurred, combine this layer with other data sets. Suggested Use: This product shows water that is detected by the sensor with different colors indicating different land cover/land use classifications from WorldCover that appear to have water and are potentially flooded. Blue (1): Known Water Red (2): Flooded Developed Green (3): Flooded Vegetation Orange (4): Flooded Cropland/Grassland Gray (5): Clouds/Cloud Shadow (0): No Data Satellite/Sensor: PlanetScope Resolution: 3 meters Credits: NASA Disasters Program, Includes copyrighted material of Planet Labs PBC. All rights reserved. Service URL: https://gis.earthdata.nasa.gov/portal/home/item.html?id=24843d7f43694de290c000b0aacae919 WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202405_FLOOD_TX/2408_planet_water/ImageServer/WMSServer

Date of Images: July 8, 2025, July 10, 2025 Date of Next Image: None planned Suggested Use: This image provides regional context, and may be useful for visualization of the ongoing event. Higher spatial resolution images may be suitable for spatial analysis to support decision making or research applications. More information on the aircraft and program can be found here: https://www.nasa.gov/specials/jsc-aircraft-ops/wb-57.html#top Sensor: HD resolution, 1280x720. Focal length was 950mm. Photos were collected in batch orbits at 25,000'. Resolution: Up to 3in (7.6cm) Credits: NASA Johnson Space Center, Flight Operations Directorate, Aircraft Operations Division, WB-57 Program Esri REST Endpoint: See URL to the right Data Download: https://nasagov.app.box.com/s/km2xgabrquxnx45kl8l2jv00pay4bjn9/folder/330348891753

Date of ImagesDSWx-HLS (Optical)Pre-Event: June 27, 2025; June 29, 2025; July 2, 2025Post-Event: July 5, 2025; July 6, 2025; July 7, 2025; July 8, 2025; July 9, 2025; July 10, 2025; July 12, 2025 DSWx-S1 (Radar)Pre-Event: June 17, 2025; June 19, 2025; June 22, 2025; July 1, 2025; July 4, 2025Post-Event: July 11, 2025 Summary: The Advanced Rapid Imaging and Analysis (ARIA) and Observational Products for End-Users from Remote Sensing Analysis (OPERA) teams at NASA's Jet Propulsion Laboratory and California Institute of Technology created maps of surface water extent impacted by the flooding in Central Texas on July 4, 2025 using the OPERA Dynamic Surface Water Extent (DSWx) from NASA Harmonized Landsat and Sentinel-2 (HLS) and Sentinel-1 (DSWx-S1) products.  The results posted here are preliminary and unvalidated results, primarily intended to aid the field response and people who wanted to have a rough first look at the inundation extent. The ARIA-share website has always focused on posting preliminary results as fast as possible for disaster response. All information is provisional for use under emergency response guidelines. These data are provided with absolutely no warranty of any kind.  Use at your own risk. The OPERA DSWx-HLS (optical) and DSWx-S1 (radar) products were used to identify surface water for the flooding event. The images provided are a mosaic of aforementioned OPERA products, producing a composite image for each date. The mosaicking applied prioritized pixels classified as open surface water to preserve water pixels in region of product granule overlap. The images are provided as GeoTIFF files.  Binary Water (BWTR) Layer Description: The binary water layer is derived from the WTR layer as a union of water classes (open water and partial surface water) into a binary map indicating areas with and without water. This layer is meant to provide users with a quick view for  water/no-water. Invalid data classes (snow/ice, cloud/cloud shadow along with adjacent to cloud/cloud shadow, ocean masked, and fill value) are also provided to indicate areas in which the binary classification does not provide water/no-water classification. Binary Water (BWTR) Layer Values:0: Not Water - an area with valid reflectance data that is not water (class 1) and not snow/ice (class 252), cloud/cloud shadow  (class 253), or ocean masked (class 254). (suggested color: #ffffff) 1: Water - an area classified as open water or partial surface water (DSWx-HLS)/inundated vegetation (DSWx-S1).  (suggested color: #0000ff) 250 (for DSWx-S1): Height Above Nearest Drainage (HAND) masked - an area where topographic height is higher than the HAND threshold. (suggested color: #c8c8c8) 251 (for DSWx-S1): Layover/shadow masked - an area identified as layover or shadow computed from the geometry of the digital elevation model and sensor. The area is directly copied from input burst RTC-S1 products. (suggested color: #808080) 252 (for DSWx-HLS): Snow/Ice - an area identified as snow/ice according to input HLS Fmask quality assurance (QA) data. (suggested color: #00ffff) 253 (for DSWx-HLS): Cloud/Cloud Shadow - an area identified as cloud or cloud shadow or adjacent to cloud/cloud shadow according to input  HLS Fmask quality assurance (QA) data. (suggested color: #afafaf) 254 (for DSWx-HLS): Ocean Masked - an area identified as ocean using a shoreline database with an added margin. (suggested color: #00007f) 255: No data. (suggested color: transparent) Satellite/Sensor:DSWx-HLS: Multi Spectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/B/C optical satellites and Operational Land Imager 2 (OLI-2) on NASA's Landsat 8 optical satellite.DSWx-S1: Synthetic Aperture Radar (SAR) instrument on European Space Agency's (ESA) Sentinel-1A satellite. Resolution:30 meters OPERA DSWx-HLS (optical) data availabilityThe post-processed products are available to download at https://aria-share.jpl.nasa.gov/20250704_Texas_Floods/DSWx-HLS/.  The OPERA DSWx-HLS products have been in production since April 2023, are freely distributed to the public via NASA's Physical Oceanography Distributed Active Archive Center (PO.DAAC), and can be downloaded through NASA's Earthdata search. For more information about the Dynamic Surface Water eXtent product suite, please refer to the DSWx Product page: https://www.jpl.nasa.gov/go/opera/products/dswx-product-suite.  OPERA DSWx-S1 (radar) data availabilityThe post-processed products are available to download at https://aria-share.jpl.nasa.gov/20250704_Texas_Floods/DSWx-S1/.  The OPERA DSWx-S1 products have been in production since September 2024, are freely distributed to the public via NASA's Physical Oceanography Distributed Active Archive Center (PO.DAAC), and can be downloaded through NASA's Earthdata search. For more information about the Dynamic Surface Water eXtent product suite, please refer to the DSWx Product page: https://www.jpl.nasa.gov/go/opera/products/dswx-product-suite.  For more information about the Caltech-JPL ARIA project, visit https://aria.jpl.nasa.gov. For more information about the JPL OPERA project, visit https://www.jpl.nasa.gov/go/opera/.   Product POCs:Mary Grace Bato (mary.grace.p.bato@jpl.nasa.gov)Cole Speed (cole.speed@jpl.nasa.gov)Karen An (karen.an@jpl.nasa.gov)Ines Fenni (ines.fenni@jpl.nasa.gov)Steven Chan (steventsz.k.chan@jpl.nasa.gov) Credits:HLS data (optical) was accessed through NASA EarthData Search. The product contains modified Copernicus Sentinel data (2025), processed by the European Space Agency, NASA/USGS Landsat 8/9 data, and analyzed by the NASA-JPL/Caltech ARIA and OPERA team. The products are produced as part of the OPERA project, which is funded by NASA to address remote sensing needs identified by the Satellite Needs Working Group, and managed by NASA's Jet Propulsion Laboratory. Sentinel-1 (radar) data were accessed through the Copernicus Open Hub and the Alaska Satellite Facility server. The product contains modified Copernicus Sentinel data (2025), processed by the European Space Agency and analyzed by the NASA-JPL/Caltech ARIA and OPERA team.  The products are produced as part of the OPERA project, which is funded by NASA to address remote sensing needs identified by the Satellite Needs Working Group, and managed by NASA's Jet Propulsion Laboratory. NASA JPL-Caltech ARIA/OPERA Team ==================Esri REST Endpoint:See URL to the right WMS Endpoint:https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202507_FLOOD_TX/202507_opera_dswx_hls/ImageServer/WMSServer Data Download:DSWx-HLS (Optical)Pre-Event:- OPERA_L3_DSWX-HLS_V1_BWTR_2025-06-27_mosaic.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on June 27, 2025.- OPERA_L3_DSWX-HLS_V1_BWTR_2025-06-29_mosaic.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on June 29, 2025.- OPERA_L3_DSWX-HLS_V1_BWTR_2025-07-02_mosaic.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on July 2, 2025.Post-Event:- OPERA_L3_DSWX-HLS_V1_BWTR_2025-07-05_mosaic.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on July 5, 2025.- OPERA_L3_DSWX-HLS_V1_BWTR_2025-07-06_mosaic.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on July 6, 2025.- OPERA_L3_DSWX-HLS_V1_BWTR_2025-07-07_mosaic.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on July 7, 2025.- OPERA_L3_DSWX-HLS_V1_BWTR_2025-07-08_mosaic.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on July 8, 2025.- OPERA_L3_DSWX-HLS_V1_BWTR_2025-07-09_mosaic.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on July 9, 2025.- OPERA_L3_DSWX-HLS_V1_BWTR_2025-07-10_mosaic.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on July 10, 2025.- OPERA_L3_DSWX-HLS_V1_BWTR_2025-07-12_mosaic.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on July 12, 2025. DSWx-S1 (Radar)Pre-Event:- OPERA_L3_DSWX-S1_V1_BWTR_2025-06-17_mosaic.tif: DSWx-S1 mosaic image of binary water classification layer (BWTR) from data acquired on June 17, 2025.- OPERA_L3_DSWX-S1_V1_BWTR_2025-06-19_mosaic.tif: DSWx-S1 mosaic image of binary water classification layer (BWTR) from data acquired on June 19, 2025.- OPERA_L3_DSWX-S1_V1_BWTR_2025-06-22_mosaic.tif: DSWx-S1 mosaic image of binary water classification layer (BWTR) from data acquired on June 22, 2025.- OPERA_L3_DSWX-S1_V1_BWTR_2025-07-01_mosaic.tif: DSWx-S1 mosaic image of binary water classification layer (BWTR) from data acquired on July 1, 2025.- OPERA_L3_DSWX-S1_V1_BWTR_2025-07-04_mosaic.tif: DSWx-S1 mosaic image of binary water classification layer (BWTR) from data acquired on July 4, 2025.Post-Event:- OPERA_L3_DSWX-S1_V1_BWTR_2025-07-11_mosaic.tif: DSWx-S1 mosaic image of binary water classification layer (BWTR) from data acquired on July 11, 2025. Last Update 16 July 2025