Publications

Razali, SM; Atucha, AAM; Nuruddin, AA; Hamid, HA; Shafri, HZM (2016). Monitoring vegetation drought using MODIS remote sensing indices for natural forest and plantation areas. JOURNAL OF SPATIAL SCIENCE, 61(1), 157-172.

Abstract
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.

DOI:
10.1080/14498596.2015.1084247

ISSN:
1449-8596