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

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Improved Characterization of Forest Transmissivity Within the L-MEB Model Using Multisensor SAR Data. / Seppanen, Jaakko; Antropov, Oleg; Jagdhuber, Thomas; Hallikainen, Martti; Heiskanen, Janne; Praks, Jaan.

In: IEEE Geoscience and Remote Sensing Letters, Vol. 14, No. 8, 04.07.2017, p. 1408-1412.

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Seppanen, Jaakko ; Antropov, Oleg ; Jagdhuber, Thomas ; Hallikainen, Martti ; Heiskanen, Janne ; Praks, Jaan. / Improved Characterization of Forest Transmissivity Within the L-MEB Model Using Multisensor SAR Data. In: IEEE Geoscience and Remote Sensing Letters. 2017 ; Vol. 14, No. 8. pp. 1408-1412.

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@article{e1231f04132b444186c23ad146f82d34,
title = "Improved Characterization of Forest Transmissivity Within the L-MEB Model Using Multisensor SAR Data",
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.",
keywords = "Biological system modeling, Data models, Forestry, L-band, microwave radiometry, Radiometry, remote sensing, Satellites, soil moisture, Synthetic aperture radar, synthetic aperture radar (SAR)., Vegetation mapping",
author = "Jaakko Seppanen and Oleg Antropov and Thomas Jagdhuber and Martti Hallikainen and Janne Heiskanen and Jaan Praks",
year = "2017",
month = "7",
day = "4",
doi = "10.1109/LGRS.2017.2715801",
language = "English",
volume = "14",
pages = "1408--1412",
journal = "IEEE Geoscience and Remote Sensing Letters",
issn = "1545-598X",
number = "8",

}

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TY - JOUR

T1 - Improved Characterization of Forest Transmissivity Within the L-MEB Model Using Multisensor SAR Data

AU - Seppanen, Jaakko

AU - Antropov, Oleg

AU - Jagdhuber, Thomas

AU - Hallikainen, Martti

AU - Heiskanen, Janne

AU - Praks, Jaan

PY - 2017/7/4

Y1 - 2017/7/4

N2 - 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.

AB - 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.

KW - Biological system modeling

KW - Data models

KW - Forestry

KW - L-band

KW - microwave radiometry

KW - Radiometry

KW - remote sensing

KW - Satellites

KW - soil moisture

KW - Synthetic aperture radar

KW - synthetic aperture radar (SAR).

KW - Vegetation mapping

UR - http://www.scopus.com/inward/record.url?scp=85023163560&partnerID=8YFLogxK

U2 - 10.1109/LGRS.2017.2715801

DO - 10.1109/LGRS.2017.2715801

M3 - Article

VL - 14

SP - 1408

EP - 1412

JO - IEEE Geoscience and Remote Sensing Letters

JF - IEEE Geoscience and Remote Sensing Letters

SN - 1545-598X

IS - 8

ER -

ID: 14526313