Mexico imagery and land cover data

aircraft imagery by Jose Reyes, acquired 2026-07-14 to 2026-07-14, 1.0 cm per pixel, published on OpenAerialMap.

uav imagery by Perry Smith, acquired 2026-02-28 to 2026-02-28, 12.0 cm per pixel, published on OpenAerialMap.

uav imagery by WebODM, acquired 2026-02-08 to 2026-02-08, 4.0 cm per pixel, published on OpenAerialMap.

aircraft imagery by Luis Sierra, acquired 2026-02-19 to 2026-02-19, 5.0 cm per pixel, published on OpenAerialMap.

satellite imagery by Urbainilla, acquired 2026-04-21 to 2026-04-21, 5.0 cm per pixel, published on OpenAerialMap.

satellite imagery by Netas Ciudadanas, acquired 2026-09-12 to 2026-09-13, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by WebODM, acquired 2025-04-02 to 2025-04-02, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by geografia_en_viz, acquired 2025-05-20 to 2025-05-20, 5.6 cm per pixel, published on OpenAerialMap.

uav imagery by Municipio de Lerma , acquired 2026-03-11 to 2026-03-11, 8.5 cm per pixel, published on OpenAerialMap.

uav imagery by CNPC, acquired 2026-03-24 to 2026-03-24, 10.0 cm per pixel, published on OpenAerialMap.

uav imagery by geografia_en_viz, acquired 2026-05-22 to 2026-05-22, 14.3 cm per pixel, published on OpenAerialMap.

satellite imagery by Jose Reyes , acquired 2026-06-25 to 2026-06-25, 5.0 cm per pixel, published on OpenAerialMap.

aircraft imagery by mase, acquired 2026-06-28 to 2026-06-28, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by WebODM, acquired 2025-12-30 to 2025-12-30, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by geografia_en_viz, Netas ciudadas, uam cuajimalpa, Hot OSM, acquired 2025-10-12 to 2025-10-12, 9.3 cm per pixel, published on OpenAerialMap.

uav imagery by Said Figueroa, acquired 2025-08-02 to 2025-08-02, 1.7 cm per pixel, published on OpenAerialMap.

uav imagery by Seth Anderson, acquired 2025-09-01 to 2025-09-02, 4.1 cm per pixel, published on OpenAerialMap.

uav imagery by personal, acquired 2026-04-17 to 2026-04-18, 3.9 cm per pixel, published on OpenAerialMap.

uav imagery by Ayuntamiento de Lerma, acquired 2026-04-29 to 2026-04-29, 3.8 cm per pixel, published on OpenAerialMap.

uav imagery by Comapper, acquired 2026-04-29 to 2026-04-29, 4.1 cm per pixel, published on OpenAerialMap.

uav imagery by WebODM, acquired 2025-09-28 to 2025-09-28, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Netas Ciudadanas, acquired 2025-09-29 to 2025-09-29, 5.4 cm per pixel, published on OpenAerialMap.

uav imagery by WebODM, acquired 2026-01-14 to 2026-01-14, 2.2 cm per pixel, published on OpenAerialMap.

satellite imagery by Samuel Cardona Garza, acquired 2026-06-24 to 2026-06-25, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Patlani Cartografía, acquired 2025-10-13 to 2025-10-13, 4.0 cm per pixel, published on OpenAerialMap.

satellite imagery by Jose Reyes, acquired 2026-06-25 to 2026-06-25, 5.0 cm per pixel, published on OpenAerialMap.

satellite imagery by Netas Ciudadanas, acquired 2026-07-19 to 2026-07-19, 5.0 cm per pixel, published on OpenAerialMap.

satellite imagery by Netas Ciudadanas, acquired 2025-10-19 to 2025-10-20, 5.0 cm per pixel, published on OpenAerialMap.

satellite imagery by WEBODM, acquired 2025-04-10 to 2025-04-10, 5.0 cm per pixel, published on OpenAerialMap.

Dates of Images: Post-Event: July 1, 2026; July 3, 2026; July 5, 2026 Pre-Event: May 14, 2026 Date of Next Image: Unknown Summary: Normalized Differential Vegetation Index (NDVI) maps are produced by converting pixel values to NDVI = (Red – NIR)/(Red + NIR), NIR indicates the near infrared band. The dynamically generated Normalized Difference Vegetation Index (NDVI) layer is an index for quantifying green vegetation. It reflects the state of vegetation health based on how vegetation reflects light at certain wavelengths. NDVI change was created by subtracting the cloud-masked post-event NDVI from the cloud-masked pre-event NDVI to show areas of potentially impacted vegetation as negative values (darker shades) and healthy/unimpacted vegetation in positive values (lighter shades). NDVI change can give insights to impacts from an event (like the scouring of vegetation from the riverbeds) but can also show changes in unrelated areas like the clearing of agriculture fields. This layer is a binary NDVI change polygon (threshold of areas where NDVI decreased by -0.25 or more) for November 2, 2025 as compared to October 20, 2025. Suggested Use: NDVI change: Commonly used to distinguish healthy/active vegetation (positive values) from potentially unhealthy/impacted vegetation (negative values). This map shows a binary flag where NDVI decreased. Satellite/Sensor: MultiSpectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/2B satellites Resolution: 10 meters Credits: NASA/MSFC, USGS, ESA Copernicus Esri REST Endpoint: See URL section on right side of page

satellite imagery by Netas Ciudadanas, acquired 2026-05-24 to 2026-05-24, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by BCSicletos y La Duna Centro Ecológico, acquired 2025-03-26 to 2025-03-27, 5.3 cm per pixel, published on OpenAerialMap.

uav imagery by BCSicletos y La Duna Centro Ecológico, acquired 2025-03-26 to 2025-03-27, 5.3 cm per pixel, published on OpenAerialMap.

satellite imagery by WEBODM, acquired 2025-04-10 to 2025-04-10, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Mar Marín, acquired 2025-09-24 to 2025-09-24, 5.4 cm per pixel, published on OpenAerialMap.

uav imagery by Municipio de Lerma , acquired 2025-09-23 to 2025-09-26, 5.0 cm per pixel, published on OpenAerialMap.