Monitoring vegetation drought using MODIS remote sensing indices for natural forest and plantation areas

作者:Razali Sheriza Mohd*; Marin Atucha Arnaldo Aitor; Nuruddin Ahmad Ainuddin; Hamid Hazandy Abdul; Shafri Helmi Zulhaidi Mohd
来源:Journal of Spatial Science, 2016, 61(1): 157-172.
DOI:10.1080/14498596.2015.1084247

摘要

Natural forest, oil palm and rubber plantations are economically and environmentally important for Peninsular Malaysia. The present study analysed four years of moderate-resolution imaging spectroradiometer (MODIS) surface reflectance data to develop spectral indices of vegetation, water availability and moisture stress for the study area. The indices - the Normalised Difference Vegetation Index, the Normalised Difference Water Index and the Moisture Stress Index - were applied to the three different habitats to monitor drought and develop a Malaysia Southwest Monsoon (M-SWM) classification. By integrating indicators of the Southwest Monsoon, the Standard Precipitation Index, mean precipitation and temperature and spectral indices correlation analysis, M-SWM classification showed greater sensitivity to drought conditions than any of the individual indicators alone. The results also found that July is the driest month; it was the only period classified as 'Very Dry' based on the M-SWM.