Soil moisture and biomass retrieval using ALOS/PALSAR data

Christian N. Koyama, Motoyuki Sato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Soil moisture and its distribution in space and time plays a key role in many scientific applications like agriculture, hydrology, meteorology or flood and landslide prediction. Measurements over large areas are only feasible by means of airborne or spaceborne systems. The Japanese ALOS/PALSAR was the first and only satellite to operate a polarimetric L-band SAR, thus providing the highest potential for quantitative soil moisture observations. PALSAR soil moisture estimates are calculated using different theoretical and (semi-)empirical retrieval models. Estimates of vegetation biomass are calculated by means of a semi-empirical approach. The estimation accuracies for the different models range between 4.1 and 14.2 Vol.-%. The sensitivity of the backscattering intensities and the scattering entropy towards the canopy properties enables estimation of winter wheat biomass with accuracy in the order of 1 kg/m2.

Original languageEnglish
Title of host publicationConference Proceedings of 2013 Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2013
Pages49-52
Number of pages4
Publication statusPublished - 2013 Dec 1
Event2013 4th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2013 - Tsukuba, Japan
Duration: 2013 Sep 232013 Sep 27

Publication series

NameConference Proceedings of 2013 Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2013

Other

Other2013 4th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2013
CountryJapan
CityTsukuba
Period13/9/2313/9/27

ASJC Scopus subject areas

  • Computer Networks and Communications

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