Jump to content

Our forum made possible by displaying online advertisements to our visitors.

Please consider supporting us by disabling your ads blocker.

  • Announcements

    • EmperoR

      Dear Guests   12/24/2016

      Welcome to the GIS-AREA. like most online communities you must register to view or post in our community, but don't worry this is a simple free process that requires minimal information for you to signup. Be a part of GIS-AREA by signing in or creating an account here. Once you have created your account and have introduced yourself to our community, you can start new topics, reply to others, subscribe interesting threads, get your customize profiles, make news friends, and others nice stuff. To make your stay as pleasant and constructive as possible, please don't forget to read through our pinned forum rules and board guidelines in each section before you do anything else.
Sign in to follow this  
Lurker

SLIP-DRIP New Software For Automatic Detection Of Landslide

Recommended Posts

jure_oli_2014261.jpg

 

Kirschbaum oversees a team of researchers designing an automated system to identify potential landslides that might otherwise go undetected and unreported. The computer program scans satellite imagery for signs that a landslide may have occurred recently.

 

The Sudden Landslide Identification Product (SLIP) combs through Earth imagery and analyzes consecutive images of the same location to spot changes in soil moisture, muddiness, and other surface features. The program also compares the hill slopes with topographic information derived from digital elevation models, such as those built from the Shuttle Radar Topography Mission (SRTM) and the Advanced Spaceborne Thermal Emissions and Reflection Radiometer (ASTER). By combining this information, SLIP can automatically pinpoint the locations of possible landslides each time a new, cloud-free land image is acquired.

 

The left and middle images above were acquired by the Landsat 8 satellite on September 15, 2013, and September 18, 2014—before and after the Jure landslide in Nepal on August 2, 2014. The image on the right shows that 2014 Landsat image processed with the new SLIP algorithm. The red areas show most of the traits of a landslide, while yellow areas exhibit a few of the proxy traits.

 

What the Goddard team cannot determine from images alone is when a landslide occurred. Landsat, for instance, takes 16 days before it passes over the same spot on Earth. To more precisely pin a date on each landslide, Kirschbaum and colleagues turn to rainfall measurements from the Global Precipitation Measurement (GPM) mission. The GPM core satellite measures rain and snow several times daily, allowing researchers to create maps of rain accumulation over 24-, 48-, and 72-hour periods for given areas of interest—a product they call Detecting Real-time Increased Precipitation, or DRIP. When a certain amount of rain has fallen in a region, an email can be sent to emergency responders and other interested parties.

 

“We’re interested in rapidly and precisely identifying unreported landslides to better understand landslide triggering conditions,“ said Aakash Ahamed, who worked on the project at Goddard as part of the NASADEVELOP program. “This information can improve maps that show which areas are susceptible to landslides, and it can promote responsible management.”

 

Though still in the testing phase, the SLIP-DRIP software is open source and available to the public. Ahamed, Kirschbaum, and colleagues believe it could significantly improve landslide inventories, leading to better risk management. This information will ultimately be fed into NASA’s Global Landslide Catalog—the first and only global database of rainfall-triggered landslides. The catalog is accessible to emergency response teams, researchers, and the public. To date, the catalog has only included landslides reported in news outlets, online journals, and disaster databases. SLIP-DRIP products will make that information more current and comprehensive.

 

source : 

http://earthobservatory.nasa.gov/NaturalHazards/view.php?id=88319&src=eorss-nh

software :

https://github.com/NASA-DEVELOP/DRIP-SLIP
  • Like 3

Share this post


Link to post
Share on other sites

Create an account or sign in to comment

You need to be a member in order to leave a comment

Create an account

Sign up for a new account in our community. It's easy!

Register a new account

Sign in

Already have an account? Sign in here.

Sign In Now

Sign in to follow this  

×

Important Information

By using this site, you agree to our Terms of Use.