MyJournals Home  

RSS FeedsRemote Sensing, Vol. 11, Pages 2397: Extracting Irrigation Structure Networks from Pre-Landsat 4 Satellite Imagery Using Vegetation Indices (Remote Sensing)

 
 

16 october 2019 23:00:51

 
Remote Sensing, Vol. 11, Pages 2397: Extracting Irrigation Structure Networks from Pre-Landsat 4 Satellite Imagery Using Vegetation Indices (Remote Sensing)
 


Often discussed, the spatial extent and scope of the Khmer Rouge irrigation network has not been previously mapped on a national scale. Although low resolution, early Landsat images can identify water features accurately when using vegetation indices. We discuss the methods involved in mapping historic irrigation on a national scale, as well as comparing the performance of several vegetation indices at irrigation detection. Irrigation was a critical component of the Communist Part of Kampuchea (CPK)’s plan to transform Cambodia into an ideal communist society, aimed at providing surplus for the nation by tripling rice production. Of the three indices used, normalized difference, corrected transformed, and Thiam’s transformed vegetation indexes, (NDVI, CTVI, and TTVI respectively), the CTVI provided the clearest images of water storage and transport. This method for identifying anthropogenic water features proved highly accurate, despite low spatial resolution. We were successful in locating and identifying both water storage and irrigation canals from the time that the CPK regime was in power. In many areas these canals and reservoirs are no longer visible, even with high resolution modern satellites. Most of the structures built at this time experienced some collapse, either during the CPK regime or soon after, however many have been rehabilitated and are still in use, in at least a partial capacity.


 
143 viewsCategory: Geology, Physics
 
Remote Sensing, Vol. 11, Pages 2398: A Spatial-Socioeconomic Urban Development Status Curve from NPP-VIIRS Nighttime Light Data (Remote Sensing)
Remote Sensing, Vol. 11, Pages 2396: New Global View of Above-Cloud Absorbing Aerosol Distribution Based on CALIPSO Measurements (Remote Sensing)
 
 
blog comments powered by Disqus


MyJournals.org
The latest issues of all your favorite science journals on one page

Username:
Password:

Register | Retrieve

Search:

Physics


Copyright © 2008 - 2024 Indigonet Services B.V.. Contact: Tim Hulsen. Read here our privacy notice.
Other websites of Indigonet Services B.V.: Nieuws Vacatures News Tweets Nachrichten