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www.hydrol-earth-syst-sci-discuss.net/6/6247/2009/
doi:10.5194/hessd-6-6247-2009
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under the Creative Commons Attribution 3.0 License.
Technical Note: Comparing and ranking soil-moisture indices performance over Europe, through remote-sensing of vegetation
1The Institute of Earth Sciences, The Hebrew Univ. of Jerusalem, Jerusalem 91904, Israel
2IDL, CGUL, Univ. of Lisbon, Lisbon, Portugal
3Institute of Meteorology, Lisbon, Portugal
Abstract. Climate change induces long-term changes in soil-moisture. These changes can have important effects on the terrestrial biosphere, which can feedback into the climate system. In the past years there have been many attempts to produce and improve global soil-moisture datasets, however, comparing and validating these various datasets is not an easy task. Here, interannual variations in indices of soil moisture are compared to interannual changes in vegetation, as captured by NDVI. By comparing the correlations of the different indices with NDVI we evaluated which soil moisture index provides the most reliable soil moisture representation. We showed that NDVI can be used as an external validation dataset to soil moisture indices, in areas that are classified as warm temperate climate with hot or warm dry summers. Using the best performing index, NSM (Normalizes Soil Moisture), and the ICA (Independent Component Analysis) technique, we analyzed the response of vegetation to temperature and soil-moisture stresses over Europe.
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Citation: Peled, E., Dutra, E., Viterbo, P., and Angert, A.: Technical Note: Comparing and ranking soil-moisture indices performance over Europe, through remote-sensing of vegetation, Hydrol. Earth Syst. Sci. Discuss., 6, 6247-6264, doi:10.5194/hessd-6-6247-2009, 2009. Bibtex EndNote Reference Manager XML
