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RSS FeedsRemote Sensing, Vol. 11, Pages 2386: Vegetation Mapping by Using GPM/DPR over the Mongolian Land (Remote Sensing)

 
 

15 october 2019 13:04:17

 
Remote Sensing, Vol. 11, Pages 2386: Vegetation Mapping by Using GPM/DPR over the Mongolian Land (Remote Sensing)
 


Mongolian steppe is one of the largest and important ecosystems. The degradation of grassland and the expansion of desert are occurring due to drought and desertification processes. We attempted monitoring of the broad-scale vegetation in Mongolia by a space-borne precipitation radar, which may complement typical approaches of vegetation monitoring (such as NDVI). We utilized the Global Precipitation Mission’s (GPM) dual-frequency precipitation radar (DPR). We characterized backscatter (σ0) of GPM/DPR’s two microwave bands (Ku and Ka) with respect to the dominant vegetation zones (forest, grassland, desert). Both Ku and Ka radars’ σ0 values were investigated for incidence angle dependency and the seasonal variation. As a result, the use of multi-angle, multi-band observations of GPM/DPR could help to characterize the vegetation zones. Especially, the σ0 at incidence angles between 1° and 8° represented useful characteristics of vegetation. Based on it, by using unsupervised clustering, we produced annual maps describing vegetation zones from 2014 to 2018. The result indicated that Mongolia experienced extensive changes in grassland and desert areas during the study years.


 
161 viewsCategory: Geology, Physics
 
Remote Sensing, Vol. 11, Pages 2387: A Synergistic Use of a High-Resolution Numerical Weather Prediction Model and High-Resolution Earth Observation Products to Improve Precipitation Forecast (Remote Sensing)
Remote Sensing, Vol. 11, Pages 2384: Assessing Multiple Years` Spatial Variability of Crop Yields Using Satellite Vegetation Indices (Remote Sensing)
 
 
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