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Estimating Forest Stand Height in Savannakhet, Lao PDR Using InSAR and Backscatter Methods with L-Band SAR Data

Authors :
Helen Blue Parache
Timothy Mayer
Kelsey E. Herndon
Africa Ixmucane Flores-Anderson
Yang Lei
Quyen Nguyen
Thannarot Kunlamai
Robert Griffin
Source :
Remote Sensing, Vol 13, Iss 22, p 4516 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

Forest stand height (FSH), or average canopy height, serves as an important indicator for forest monitoring. The information provided about above-ground biomass for greenhouse gas emissions reporting and estimating carbon storage is relevant for reporting for Reducing Emissions from Deforestation and Forest Degradation (REDD+). A novel forest height estimation method utilizing a fusion of backscatter and Interferometric Synthetic Aperture Radar (InSAR) data from JAXA’s Advanced Land Observing Satellite Phased Array type L-band Synthetic Aperture Radar (ALOS PALSAR) is applied to a use case in Savannakhet, Lao. Compared with LiDAR, the estimated height from the fusion method had an RMSE of 4.90 m and an R2 of 0.26. These results are comparable to previous studies using SAR estimation techniques. Despite limitations of data quality and quantity, the Savannakhet, Lao use case demonstrates the applicability of these techniques utilizing L-band SAR data for estimating FSH in tropical forests and can be used as a springboard for use of L-band data from the future NASA-ISRO SAR (NISAR) mission.

Details

Language :
English
ISSN :
20724292
Volume :
13
Issue :
22
Database :
Directory of Open Access Journals
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.0959767999ff49bba70761fda88d76fb
Document Type :
article
Full Text :
https://doi.org/10.3390/rs13224516