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RSS FeedsRemote Sensing, Vol. 14, Pages 565: Assessment of Drought Indexes on Different Time Scales: A Case in Semiarid Mediterranean Grasslands (Remote Sensing)

 
 

25 january 2022 12:49:18

 
Remote Sensing, Vol. 14, Pages 565: Assessment of Drought Indexes on Different Time Scales: A Case in Semiarid Mediterranean Grasslands (Remote Sensing)
 


Drought is a significant challenge to semiarid Mediterranean grasslands, Increasing the accuracy of monitoring allows improving the conservation and management of these vital ecosystems. Meteorological drought is commonly monitored by the Standard Precipitation Index (SPI) or the Standard Precipitation Evapotranspiration Index (SPEI). On the other hand, agriculture drought is estimated by the Vegetation Health Index (VHI). This work aims to optimise the correlation between both drought types using the best transformation of VHI and the most appropriate time scale. Two drought-vulnerable Mediterranean grasslands were selected to evaluate the performance of the drought indexes. The SPI and the SPEI were calculated using data obtained from nearby weather stations. MODIS data were used to calculate the VHI. This index was standardised, naming it as SVHI. Our results revealed that SPEI was better correlated with VHI compared to SPI. In addition, SVHI obtained better results in the critical vegetation phases than VHI. Overall, SPEI and SVHI were the best correlated indexes. The quarterly scale showed stronger relationships than the monthly scale and the most correlated time frame were Mediterranean spring and autumn. This fact suggests that SPEI and SVHI could provide a plus point for increasing the precision of vegetation monitoring during these periods.


 
124 viewsCategory: Geology, Physics
 
Remote Sensing, Vol. 14, Pages 564: Extracting Buildings from Remote Sensing Images Using a Multitask Encoder-Decoder Network with Boundary Refinement (Remote Sensing)
Remote Sensing, Vol. 14, Pages 562: A First Assessment of Canopy Cover Loss in Germany’s Forests after the 2018–2020 Drought Years (Remote Sensing)
 
 
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