WSEAS Transactions on Environment and Development
Print ISSN: 1790-5079, E-ISSN: 2224-3496
Volume 15, 2019
Efficiency of Climate and Remote Sensing Data to Drought Monitoring in Arid Areas: Case of Eastern Morocco
Authors: , , , ,
Abstract: In the current context of climate change and its impact on human and natural resources, remote sensing has some advantages for combating extreme events, especially in pasture arid Morocco. Assessing quality of remote sensing data is an essential step in pastoral areas when droughts that have a significant impact on productivity. In order to provide a method that gives a description of future drought yield situation we have studied two types of regression established between rainfall data measured by station, soil moisture index (SWI), Normalized difference vegetation index (NDVI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) and dry matter productivity (DMP) from MetOp-A / ASCAT, eMODIS-TERRA, SPOT VEGETATION and PROBA-V satellites 30 km from 2007 to 2017. The main objective of this study is to test accuracy of these data used for claim not only areas affected by drought, but also areas likely to be affected. The results obtained show that models based on polynomial regression of NDVI, FAPAR, DMP are most consistent and accurate for estimation of herbaceous biomass from rainfall. Using of SWI index must be justified according to averages values. However, drought can be predicted based on results of strong correlations between soil moisture and vegetation index and rainfall anomalies
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Pages: 378-394
WSEAS Transactions on Environment and Development, ISSN / E-ISSN: 1790-5079 / 2224-3496, Volume 15, 2019, Art. #42