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Date of Image: <\/SPAN><\/P>

6/6/2022<\/SPAN><\/P>

Summary: <\/SPAN><\/P>

The NASA GSFC landslides team mapped landslides using the Semi-Automatic Landslide Detection (SALaD) system (<\/SPAN>https://doi.org/10.1016/j.enggeo.2021.106000<\/SPAN><\/A>; <\/SPAN>https://doi.org/10.1002/gdj3.145<\/SPAN><\/A>). SALaD uses object-based image analysis and machine learning to map landslides. The landslide areas are derived from PlanetScope imagery. This map should be used as a guidance to identify areas affected by landslides.<\/SPAN><\/P>

NOTE: This is a rapid response product. We have not done any form of manual corrections, added small or missing landslides or resolved amalgamation for this product to be research grade.<\/SPAN><\/P>

Suggested Use: <\/SPAN><\/P>

This map should be used as guidance to identify landslide affected areas. This is not a research grade product<\/SPAN><\/P>

Satellite/Sensor:<\/SPAN><\/P>

PlanetScope<\/SPAN><\/P>

Resolution:<\/SPAN><\/P>

3 meters<\/SPAN><\/P>

Credits:<\/SPAN><\/P>

NASA Landslides Team, Planet Team (2017). Planet Application Program Interface: In Space for Life on Earth. San Francisco, CA. <\/SPAN>https://api.planet.com<\/SPAN><\/A><\/P>

Esri REST Endpoint:<\/SPAN><\/P>

See URL Section on right side of page<\/SPAN><\/P>

WMS Endpoint:<\/SPAN><\/P>

Data Download:<\/SPAN><\/P>

https://maps.disasters.nasa.gov/download/gis_products/event_specific/2022/hurricane_agatha_2022/landslide_inventory/<\/SPAN><\/A><\/P>

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Date of Image: <\/SPAN><\/P>

6/6/2022<\/SPAN><\/P>

Summary: <\/SPAN><\/P>

The NASA GSFC landslides team mapped landslides using the Semi-Automatic Landslide Detection (SALaD) system (<\/SPAN>https://doi.org/10.1016/j.enggeo.2021.106000<\/SPAN><\/A>; <\/SPAN>https://doi.org/10.1002/gdj3.145<\/SPAN><\/A>). SALaD uses object-based image analysis and machine learning to map landslides. The landslide areas are derived from PlanetScope imagery. This map should be used as a guidance to identify areas affected by landslides.<\/SPAN><\/P>

NOTE: This is a rapid response product. We have not done any form of manual corrections, added small or missing landslides or resolved amalgamation for this product to be research grade.<\/SPAN><\/P>

Suggested Use: <\/SPAN><\/P>

This map should be used as guidance to identify landslide affected areas. This is not a research grade product<\/SPAN><\/P>

Satellite/Sensor:<\/SPAN><\/P>

PlanetScope<\/SPAN><\/P>

Resolution:<\/SPAN><\/P>

3 meters<\/SPAN><\/P>

Credits:<\/SPAN><\/P>

NASA Landslides Team, Planet Team (2017). Planet Application Program Interface: In Space for Life on Earth. San Francisco, CA. <\/SPAN>https://api.planet.com<\/SPAN><\/A><\/P>

Esri REST Endpoint:<\/SPAN><\/P>

See URL Section on right side of page<\/SPAN><\/P>

WMS Endpoint:<\/SPAN><\/P>

Data Download:<\/SPAN><\/P>

https://maps.disasters.nasa.gov/download/gis_products/event_specific/2022/hurricane_agatha_2022/landslide_inventory/<\/SPAN><\/A><\/P>

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Date of Image: <\/SPAN><\/P>

6/6/2022<\/SPAN><\/P>

Summary: <\/SPAN><\/P>

The NASA GSFC landslides team mapped landslides using the Semi-Automatic Landslide Detection (SALaD) system (<\/SPAN>https://doi.org/10.1016/j.enggeo.2021.106000<\/SPAN><\/A>; <\/SPAN>https://doi.org/10.1002/gdj3.145<\/SPAN><\/A>). SALaD uses object-based image analysis and machine learning to map landslides. The landslide areas are derived from PlanetScope imagery. This map should be used as a guidance to identify areas affected by landslides.<\/SPAN><\/P>

NOTE: This is a rapid response product. We have not done any form of manual corrections, added small or missing landslides or resolved amalgamation for this product to be research grade.<\/SPAN><\/P>

Suggested Use: <\/SPAN><\/P>

This map should be used as guidance to identify landslide affected areas. This is not a research grade product<\/SPAN><\/P>

Satellite/Sensor:<\/SPAN><\/P>

PlanetScope<\/SPAN><\/P>

Resolution:<\/SPAN><\/P>

3 meters<\/SPAN><\/P>

Credits:<\/SPAN><\/P>

NASA Landslides Team, Planet Team (2017). Planet Application Program Interface: In Space for Life on Earth. San Francisco, CA. <\/SPAN>https://api.planet.com<\/SPAN><\/A><\/P>

Esri REST Endpoint:<\/SPAN><\/P>

See URL Section on right side of page<\/SPAN><\/P>

WMS Endpoint:<\/SPAN><\/P>

Data Download:<\/SPAN><\/P>

https://maps.disasters.nasa.gov/download/gis_products/event_specific/2022/hurricane_agatha_2022/landslide_inventory/<\/SPAN><\/A><\/P>

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