Brazil GIS data

Dates of Images: 5/4/2024, 5/5/2024, 5/7/2024 Date of Next Image: Unknown Summary: The True Color RGB composite provides a product of how the surface would look to the naked eye from space. The RGB is created using the red, green, and blue channels of the respective instrument. The Short Wave Infrared (SWIR) RGB is a product that is created using the SWIR, NIR, and Red channels of the respective instrument. The Color Infrared composite is created using the near-infrared, red, and green channels, allowing for the ability to see areas impacted from the fires. The near-infrared gives the ability to see through thin clouds. Healthy vegetation is shown as red, water is in blue. Suggested Use: The True Color RGB provides a product of how the surface would look to the naked eye from space. The True Color RGB is produced using the 3 visible wavelength bands (red, green, and blue) from the respective sensor. Some minor atmospheric corrections have occurred. The Short Wave Infrared (SWIR) RGB is a product that can provides value in flood detection. Areas of water will appear blue, healthy green vegetation will appear as a bright green, urban areas in various shades of magenta, snow will appear as a bright blue/cyan, and bare soils being multicolor dependent on their makeup. Compare pre-event imagery to post-event imagery to identify potential flooding. A Color Infrared composite depicts healthy vegetation as red, water as blue. Some minor atmospheric corrections have occurred. Satellite/Sensor: MultiSpectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/2B satellites Resolution: Sentinel-2: 20 meters Credits: NASA/MSFC, USGS, ESA Copernicus Esri REST Endpoint: See URL section on right side of page WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202405_FLOOD_BRAZIL/2407_sentinel2/ImageServer/WMSServer

Date of Images: 5/15/2024, 5/8/2024, 4/21/2024, 4/6/2024 Summary: Scientists at NASA's Marshall Space Flight Center created these water extents using Landsat 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 the ESA Worldview. It's important to note that all flooded areas may not be captured do 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 CDL 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: Landsat Resolution: 30 meters Credits: NASA Disasters Program, Includes copyrighted material of Planet Labs PBC. All rights reserved. Esri REST Endpoint: See URL section on the right side of page. WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_EX2602_202405_FLOOD_BRAZIL/2602_landsat_WaterExtent/MapServer/WMSServer

satellite imagery by Filipe Manso Valença, acquired 2025-08-20 to 2025-08-20, 4.9 cm per pixel, published on OpenAerialMap.

aircraft imagery by Perito Paulo Rafael, acquired 2026-07-16 to 2026-07-16, 3.4 cm per pixel, published on OpenAerialMap.

aircraft imagery by Perito Paulo Rafael, acquired 2026-04-30 to 2026-04-30, 2.9 cm per pixel, published on OpenAerialMap.

aircraft imagery by Filipmanso11, acquired 2025-08-21 to 2025-08-21, 4.9 cm per pixel, published on OpenAerialMap.

satellite imagery by Eraldo Moura das Chagas, acquired 2025-04-13 to 2025-04-13, 2.0 cm per pixel, published on OpenAerialMap.

aircraft imagery by Perito Paulo Rafael, acquired 2026-03-02 to 2026-03-02, 3.2 cm per pixel, published on OpenAerialMap.

satellite imagery by Gabriel Mancilla, acquired 2026-02-20 to 2026-02-20, 4.4 cm per pixel, published on OpenAerialMap.

uav imagery by Julio Cesar Tuller Campista, acquired 2026-04-22 to 2026-04-22, 3.2 cm per pixel, published on OpenAerialMap.

uav imagery by Fernando, acquired 2026-09-10 to 2026-09-10, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Fernando, acquired 2026-09-10 to 2026-09-10, 5.0 cm per pixel, published on OpenAerialMap.

aircraft imagery by PMSMJ, acquired 2026-09-13 to 2026-09-13, 2.1 cm per pixel, published on OpenAerialMap.

The visible-wavelength true color RGB digital camera images were taken by astronauts aboard the International Space Station showing areas affected by the Brazil Flood in May 2024. Date of Images: May 6, 2024; June 24, 2024 Suggested Use: These images 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. Sensor: Camera: Nikon Z9 Focal Length: 200mm Additional Information about the astronaut photography from the ISS. Credits: International Space Station Program, NASA Johnson Space Center Earth Science and Remote Sensing Unit, ARES Division, Exploration Architecture, Integration & Science Directorate Esri REST Endpoint: See URL to the right WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_EX2602_202405_FLOOD_BRAZIL/ex2602_iss/ImageServer/WMSServer Data Download: Full datasets are available for download at the Gateway to Astronaut Photography of Earth. Download for this specific data can be found at: https://eo-web.jsc.nasa.gov/Collections/

satellite imagery by João Pessoa, acquired 2026-08-27 to 2026-08-27, 4.0 cm per pixel, published on OpenAerialMap.

aircraft imagery by PMSMJ, acquired 2026-09-14 to 2026-09-14, 2.1 cm per pixel, published on OpenAerialMap.

aircraft imagery by PMSMJ, acquired 2026-09-14 to 2026-09-14, 2.3 cm per pixel, published on OpenAerialMap.

Dates of Images: 4/28/2024, 4/29/2024, 4/30/2024, 5/1/2024, 5/2/2024, 5/5/2024, 5/6/2024 Summary: LHASA was created at Goddard Space Flight Center to identify the potential for rainfall-triggered landslides in real time. LHASA version 2 adopts machine learning to estimate the probability of landslide occurrence at a 30-arcsecond (~1 km) daily resolution. In addition, it estimates the potential exposure of human population and roads to landslide hazard and maps the basins likely to experience post-fire debris flows. Suggested Use: The global landslide nowcast shows where landslide hazard is highest on a given date. Resolution: ~1km Credits: Please cite: Stanley T. A., J. R. Sutton, R. S. Vershel, P. M. Amatya. 2025. "Better Satellite Precipitation Algorithms Slightly Improved Landslide Hazard Assessment." Journal of Applied Meteorology and Climatology 64 (10): 1379-1394 10.1175/jamc-d-25-0021.1 Esri REST Endpoint: See URL on the right side of the page. WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_EX2602_202405_FLOOD_BRAZIL/EX2602_lhasa/ImageServer/WMSServer

aircraft imagery by Victor Gomes, acquired 2025-08-02 to 2025-08-02, 3.2 cm per pixel, published on OpenAerialMap.

satellite imagery by Esdras de Lima Andrade, acquired 2025-08-15 to 2025-08-15, 4.6 cm per pixel, published on OpenAerialMap.

aircraft imagery by Esdras de Lima Andrade, acquired 2025-08-16 to 2025-08-16, 250.0 cm per pixel, published on OpenAerialMap.

aircraft imagery by Bruno Castro - LACARD - Carcará, acquired 2026-03-02 to 2026-03-02, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by WILLAMS COSTA', acquired 2026-03-19 to 2026-03-19, 1.6 cm per pixel, published on OpenAerialMap.

uav imagery by Pórtico Engenharia, acquired 2026-04-15 to 2026-04-15, 1.0 cm per pixel, published on OpenAerialMap.

uav imagery by Zedi, acquired 2026-04-26 to 2026-04-26, 5.0 cm per pixel, published on OpenAerialMap.

aircraft imagery by Perito Paulo Rafael, acquired 2026-05-22 to 2026-05-22, 3.7 cm per pixel, published on OpenAerialMap.

aircraft imagery by João Pessoa, acquired 2026-08-27 to 2026-08-27, 8.0 cm per pixel, published on OpenAerialMap.

satellite imagery by moradia legal, acquired 2026-07-30 to 2026-07-30, 10.0 cm per pixel, published on OpenAerialMap.

satellite imagery by jonnathan, acquired 2026-07-25 to 2026-07-25, 1.4 cm per pixel, published on OpenAerialMap.

uav imagery by Alfredo Queiroz, acquired 2025-08-26 to 2025-08-26, 8.6 cm per pixel, published on OpenAerialMap.

Dates of Images: Post-Event: May 6, 2024 Pre-Event: April 21, 2024 Date of Next Image: None Summary: The True Color RGB composite provides a product of how the surface would look to the naked eye from space. The RGB is created using the red, green, and blue channels of the respective instrument. The Short Wave Infrared (SWIR) RGB is a product that is created using the SWIR, NIR, and Red channels of the respective instrument. The Color Infrared composite is created using the near-infrared, red, and green channels. The near-infrared gives the ability to see through thin clouds. Healthy vegetation is shown as red, water is in blue. Suggested Use: The True Color RGB provides a product of how the surface would look to the naked eye from space. The True Color RGB is produced using the 3 visible wavelength bands (red, green, and blue) from the respective sensor. Some minor atmospheric corrections have occurred. The Short Wave Infrared (SWIR) RGB is a product that can provides value in flood detection. Areas of water will appear blue, healthy green vegetation will appear as a bright green, urban areas in various shades of magenta, snow will appear as a bright blue/cyan, and bare soils being multicolor dependent on their makeup. Compare pre-event imagery to post-event imagery to identify potential flooding. A Color Infrared composite depicts healthy vegetation as red, water as blue. Some minor atmospheric corrections have occurred. 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 layers below. WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_EX2602_202405_FLOOD_BRAZIL/ex2602_sentinel2/ImageServer/WMSServer

uav imagery by Esdras de Lima Andrade, acquired 2025-08-15 to 2025-08-15, 2.8 cm per pixel, published on OpenAerialMap.

uav imagery by Esdras de Lima Andrade, acquired 2025-08-15 to 2025-08-15, 5.9 cm per pixel, published on OpenAerialMap.

uav imagery by Esdras de Lima Andrade, acquired 2025-08-15 to 2025-08-15, 3.5 cm per pixel, published on OpenAerialMap.

uav imagery by Esdras de Lima Andrade, acquired 2025-08-15 to 2025-08-15, 5.1 cm per pixel, published on OpenAerialMap.

uav imagery by Esdras de Lima Andrade, acquired 2025-08-15 to 2025-08-15, 6.7 cm per pixel, published on OpenAerialMap.