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München, Ludwig-Maximilians-Universität (2011)

Operational Retrieval of Surface Soil Moisture using Synthetic Aperture Radar Imagery in a Semi-arid Environment

Dong, Lu

Titre : Operational Retrieval of Surface Soil Moisture using Synthetic Aperture Radar Imagery in a Semi-arid Environment.

Auteur : Dong, Lu

Université de soutenance : München, Ludwig-Maximilians-Universität

Grade : Doktorgrade 2011

Résumé partiel
Within the context of the FP7 project CLIMB, according to various climate change scenarios the Mediterranean region will suffer further from higher temperature and less precipitation during the summer, on top of already dry and hot periods for the region. This climatic trend means a higher water usage projection for both urban and agricultural purposes in this already water scarce region. Suitable strategy and management for water usage is important for sustainable agricultural development. In this respect, good irrigation management is helpful for crops growing during summer. For this purpose, surface soil moisture information can be utilised for parameterising hydrological models. In this dissertation on the Operational Retrieval of Surface Soil Moisture using Synthetic Aperture Radar Imagery in a Semi-arid Environment, the possibility and capability of an operational approach for surface soil moisture inversion using Synthetic Aperture Radar (SAR) imagery is investigated. For this topic, a well-equipped research based farm is selected as the study area on the island of Sardinia with its unique Mediterranean climate. The following aspects are focused on : 1) Exploration of the capability of current C-band SAR sensors – ASAR and Radarsat-2 – on surface soil moisture retrieval in terms of the accuracy and spatial scale, e.g. at field scale ; 2) Development of a fully operational approach for surface soil moisture monitoring and mapping in the semi-arid environment ; 3) Assessment of the capability of the Advanced Integral Equation Model (AIEM) in surface soil moisture inversion. Extensive field work is conducted in the study area from late April to end of June in 2008 and 2009. In situ measurements, including surface soil moisture, surface roughness, soil texture, vegetation water content and height, crop distance and structure, and Leaf Area Index (LAI), are taken on corresponding and prepared bare soil fields and crop fields. Field campaigns are arranged in accordance with satellite passes. In total 26 ENVISAT/ASAR APS and 11 Radarsat-2 FQ mode images are acquired during the campaigns on a better than weekly basis.

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