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Proceedings Paper

Comparative studies on combination of optical and SAR signatures in estimation of plant and soil variables
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Paper Abstract

Information based on satellite data is used for evaluation of crop growth conditions what is essential for proper management of agricultural fields. The database of satellite data used for this application consists of optical and radar data from ERS. Soil moisture has been assessed using two different approaches. First one concerned the application of soil moisture index based on sensible and latent heat calculated from surface temperature (ATSR) and meteorological data (H/LE) and backscattering coefficient calculated from SAR data. Second one concerned the application of modified semiemperical water-cloud model to simulate backscattering coefficients of C-VV of ERS and L-HH of JERS as a function of LAI, Leaf Water Area Index and Vegetation Water Content. The final results gave the possibilities of comparison of the modeled soil moisture values with field measurements. The two-way attenuation of vegetation in three models for C-VV band and L-HH band has been examined.

Paper Details

Date Published: 28 January 2002
PDF: 6 pages
Proc. SPIE 4542, Remote Sensing for Agriculture, Ecosystems, and Hydrology III, (28 January 2002); doi: 10.1117/12.454200
Show Author Affiliations
Katarzyna Dabrowska-Zielinska, Institute of Geodesy and Cartography (Poland)
Yoshio Inoue, National Institute of Agro-Environmental Sciences (Japan)
Wanda Kowalik, Institute of Geodesy and Cartography (Poland)
Maryla Gruszczynska, Institute of Geodesy and Cartography (Poland)


Published in SPIE Proceedings Vol. 4542:
Remote Sensing for Agriculture, Ecosystems, and Hydrology III
Manfred Owe; Guido D'Urso, Editor(s)

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