文章基本信息

标题：Combining L and X band SAR data for estimating biomass and soil moisture of agricultural fields
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作者：Simonetta Paloscia ; Simone Pettinato ; Emanuele Santi 等
期刊名称：European Journal of Remote Sensing
电子版ISSN：2279-7254
出版年度：2012
卷号：45
期号：1
页码：99-109
DOI：10.5721/EuJRS20124510
摘要：A method for retrieving both agricultural biomass and soil moisture starting from simultaneous observations at L and X band is described in this paper. The research was carried out within the framework of the SIASGE (Italian-Argentine System of Satellites for Emergency Management) project, funded by the Italian Space Agency (ASI), for the definition and development of X and L products oriented towards applications for risk and emergency management. SAR data at L (ALOS/PALSAR) and X (COSMO/SkyMed) bands were used for producing maps of Soil Moisture Content (SMC) and Plant Water Content (PWC) using inversion algorithms based on Artificial Neural Networks and on empirical relationships based on previous experiments. SMC obtained in an agricultural area in Lombardy showed average values in agreement with monthly rainfall. The corresponding maps of PWC were produced for the same area, and in this case the result was in agreement with the season, the classification, and the related agricultural practices.
关键词：L and X-band SAR data ; SIASGE project ; vegetation biomass ; soil moisture ; Artificial Neural Networks