Monitoring vegetation drought using MODIS remote sensing indices for natural forest and plantation areas. Issue 1 (2nd January 2016)

• Record Type: Journal Article
• Authors: Mohd Razali, Sheriza; Marin Atucha, Arnaldo Aitor; Nuruddin, Ahmad Ainuddin; Abdul Hamid, Hazandy; Mohd Shafri, Helmi Zulhaidi
• Is Part Of: Journal of spatial science. Volume 61:Issue 1(2016)
• Page Start: 157
• Page End: 172
• Publication Date: 2016-01-02
• Subjects: drought indices -- MODIS -- Southeast Asia; Geographic information systems -- Periodicals; Cartography -- Periodicals; Surveying -- Periodicals; Geodesy -- Periodicals; Photogrammetry -- Periodicals; Cartography; Geodesy; Geographic information systems; Photogrammetry; Surveying; Periodicals; 526.05
• DOI: 10.1080/14498596.2015.1084247
• Languages: English
• ISSNs: 1449-8596

Abstract

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.