23 January 2001 Retrieving land surface parameters over Sahel from ERS wind scatterometer data
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Abstract
Wind Scatterometers are active microwave instruments with low spatial resolution and high sampling rate. Recent studies have shown high potentials of these data to monitor land surface parameters over semi-arid areas, including the soil moisture and the vegetation herbaceous mass. The objective of this study is to evaluate the potentialities of the ERS Wind Scatterometer to retrieve land surface parameters. After a brief presentation of the model used for the interpretation of ?° time series, the inverse problem aiming at estimating herbaceous mass and soil moisture time series given the ERS WSC data is analysed. Due to the strong spatial and temporal variability of the soil moisture, the inverse problem appears to be a priori under-determined. We then solve the inverse problem with a “brute force” approach that consists in systematical exploration of the parameter space. This method does not only allow to obtain the optimal solutions like more classical method (generalised least square, simplex), but also the whole domain of admissible solutions. Analysis of this domain provides interesting results for the inverse problem subtle understanding
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Lionel Jarlan, Pierre Mazzega, Eric Mougin, Pierre Louis Frison, "Retrieving land surface parameters over Sahel from ERS wind scatterometer data", Proc. SPIE 4171, Remote Sensing for Agriculture, Ecosystems, and Hydrology II, (23 January 2001); doi: 10.1117/12.413926; http://dx.doi.org/10.1117/12.413926
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KEYWORDS
Data modeling

Backscatter

Humidity

Vegetation

Soil science

Inverse problems

Radar

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