CaltechAUTHORS
  A Caltech Library Service

A Regional L-Band High Biomass Estimation Framework Leveraging Spaceborne Lidar and Interferometric Data to Overcome Backscatter Saturation

Marshak, Charlie and Simard, Marc and Duncanson, Laura and Silva, Carlos and Denbina, Michael and Liao, Tien-Hao (2020) A Regional L-Band High Biomass Estimation Framework Leveraging Spaceborne Lidar and Interferometric Data to Overcome Backscatter Saturation. In: 2020 IEEE International Geoscience and Remote Sensing Symposium. IEEE , Piscataway, NJ, pp. 4991-4994. ISBN 9781728163741. https://resolver.caltech.edu/CaltechAUTHORS:20210224-153455870

[img] PDF - Published Version
See Usage Policy.

622kB

Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20210224-153455870

Abstract

We propose a framework to estimate high above ground biomass (AGB) from L-band SAR imagery leveraging spaceborne lidars such as GEDI or ICESat-2 and repeat-pass coherence. Our results indicate we are able to overcome model saturation typically associated with purely backscatter methodologies. We validate our approach using lidar-derived AGB maps from the AfriSAR datasets at Mondah, Ogooue, and Lope. We apply our framework to UAVSAR and ALOS-2 imagery to obtain 50 meter resolution biomass maps. We obtain < 60% nRMSE (in some cases much better) with negligible relative bias using a multiscale random forest model. We illustrate that the inclusion of coherence can significantly improve high AGB estimation particularly at the coastal site Mondah.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1109/IGARSS39084.2020.9323318DOIArticle
ORCID:
AuthorORCID
Liao, Tien-Hao0000-0002-0678-5545
Additional Information:© 2020 IEEE. This research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration © 2019 California Institute of Technology. Government sponsorship acknowledged.
Funders:
Funding AgencyGrant Number
NASA/JPL/CaltechUNSPECIFIED
Subject Keywords:NISAR; GEDI; ICESat-2; L-band SAR; Microwave Remote Sensing; Biomass Estimation; AGB; data fusion
Record Number:CaltechAUTHORS:20210224-153455870
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20210224-153455870
Official Citation:C. Marshak, M. Simard, L. Duncanson, C. Silva, M. Denbina and T. -H. Liao, "A Regional L-Band High Biomass Estimation Framework Leveraging Spaceborne Lidar and Interferometric Data to Overcome Backscatter Saturation," IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, HI, USA, 2020, pp. 4991-4994, doi: 10.1109/IGARSS39084.2020.9323318
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:108187
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:24 Feb 2021 23:48
Last Modified:24 Feb 2021 23:48

Repository Staff Only: item control page