研究目的
To link forest decline events in Catalonia with information from the SMOS satellite to predict forest decline occurrence.
研究成果
The study concludes that dry soils increase the probability of observing decline in broadleaved forests and that forest decline in 2012 and 2016 was linked to very dry soil conditions. It sets the basis for the development of novel forest decline models using satellite SM and VOD information.
研究不足
The shallow soil moisture retrieved by SMOS could explain the low weight of the SM variable in the model results. The study is limited to the Catalonia region and the specific years of 2012 and 2016.
1：Experimental Design and Method Selection:
The study links forest decline events detected by the DEBOSCAT program with SMOS satellite data. It reviews the role of SMOS soil moisture in a 2012 forest decline episode and proposes a similar analysis using SMOS VOD data.
2：Sample Selection and Data Sources:
Data from the forest decline episodes detected in 2012 and 2016 DEBOSCAT campaigns are used.
3：List of Experimental Equipment and Materials:
SMOS satellite data, including SM and VOD datasets.
4：Experimental Procedures and Operational Workflow:
Mean summer SM data for 2012 and 2016 are computed and compared to decline episodes. The applicability of VOD data is explored.
5：Data Analysis Methods:
Forest decline probability is modeled as a function of species, SM, and climate datasets.
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