Improved Characterization of Forest Transmissivity Within the L-MEB Model Using Multisensor SAR Data

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Seppänen , J , Antropov , O , Jagdhuber , T , Hallikainen , M , Heiskanen , J & Praks , J 2017 , ' Improved Characterization of Forest Transmissivity Within the L-MEB Model Using Multisensor SAR Data ' , IEEE Geoscience and Remote Sensing Letters , vol. 14 , no. 8 , pp. 1408 - 1412 . https://doi.org/10.1109/LGRS.2017.2715801

Title: Improved Characterization of Forest Transmissivity Within the L-MEB Model Using Multisensor SAR Data
Author: Seppänen, Jaakko; Antropov, Oleg; Jagdhuber, Thomas; Hallikainen, Martti; Heiskanen, Janne; Praks, Jaan
Contributor organization: Department of Geosciences and Geography
Earth Change Observation Laboratory (ECHOLAB)
Date: 2017
Language: eng
Number of pages: 6
Belongs to series: IEEE Geoscience and Remote Sensing Letters
ISSN: 1545-598X
DOI: https://doi.org/10.1109/LGRS.2017.2715801
URI: http://hdl.handle.net/10138/307223
Abstract: This letter proposes a novel way to assimilate synthetic aperture radar (SAR) data to L-band Microwave Emission of the Biosphere (L-MEB) model to enhance model performance over forested areas. L-and C-band satellite SAR data are used in order to characterize the forest transmissivity within the emission model, instead of the optical satellite imagery-based leaf area index (LAI) parameter. Examination of several combinations of satellite SAR data as a substitute for LAI within the L-MEB model showed that when ALOS PALSAR (L-band) and multitemporal composite Sentinel-1 (C-band) data are applied, an improved agreement was achieved between the measured and simulated brightness temperatures (TBs) over forests. The root mean squared difference between modeled and measured TBs was reduced from 6.1 to 4.7 K with single PALSAR scene-based transmissivity correction and down to 4.1 K with multitemporal Sentinel-1 composite-based transmissivity correction. Suitability of single Sentinel-1 scenes varied based on seasonal and weather conditions. Overall, this indicates the potential of an SAR-based estimation of forest volume transmissivity and opens a possible way of fruitful active-passive microwave satellite data integration.
Subject: 114 Physical sciences
1171 Geosciences
Peer reviewed: Yes
Rights: cc_by
Usage restriction: closedAccess
Self-archived version: submittedVersion


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