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How to Leverage the Power of SAR Observations for Forest Monitoring Systems

Authors :
Kucera, Leah M
Cordova, Africa Ixmucane Flores
Thapa, Rajesh Bahadur
Herndon, Kelsey E
Saah, David
Quyen, Nguyen Hanh
Cherrington, Emil A
Muench, Rebekke
Rushi, Begum Rabeya
Adams, Emily Caitlin
Oduor, Phoebe
Limaye, Ashutosh S
Vadrevu, Krishna
Publication Year :
2018
Publisher :
United States: NASA Center for Aerospace Information (CASI), 2018.

Abstract

Earth observations from Synthetic Aperture Radar (SAR) can provide unique observations related to forest structure and condition. Furthermore, SAR has many potential applications in forest monitoring systems, particularly where clouds have impeded optical observations. Currently, there is a reliable, freely-available, provision of SAR datasets, such as Sentinel-1, and there are plans to have more observations in the near- future (NISAR, BIOMASS). Given SAR’s enhanced earth observation characteristics, there is broad interest in using SAR datasets for decision support systems, such as deforestation early warning systems. However, applications of SAR are still underutilized. What is preventing users from using SAR data in their decision support systems? This study documents the experiences and lessons learned from the SERVIR network on the main limitations of incorporating SAR datasets into existing forest monitoring systems. This research also focuses on the major technical and scientific barriers we experience and best practices to address them. The results of this study are part of the SERVIR- SilvaCarbon collaboration. The primary goal of this collaboration is to build capacity in the applied use of SAR for forest monitoring and biomass estimation. The products of this effort aim to start closing the gap between SAR-science and forest applications. We will also present results to generate applied-ready knowledge for SAR.

Details

Language :
English
Database :
NASA Technical Reports
Notes :
NNM11AA01A
Publication Type :
Report
Accession number :
edsnas.20180008668
Document Type :
Report