Monitoring vegetation drought using MODIS remote sensing indices for natural forest and plantation areas
| Autor: | Helmi Zulhaidi Mohd Shafri, Ahmad Ainuddin Nuruddin, Hazandy Abdul Hamid, Arnaldo Aitor Marin Atucha, Sheriza Mohd Razali |
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| Rok vydání: | 2015 |
| Předmět: |
Hydrology
Atmospheric Science Index (economics) 010504 meteorology & atmospheric sciences Geography Planning and Development 0211 other engineering and technologies Moisture stress 02 engineering and technology Vegetation Enhanced vegetation index Monsoon 01 natural sciences General Energy Geography Spectroradiometer Habitat Precipitation 021101 geological & geomatics engineering 0105 earth and related environmental sciences |
| Zdroj: | Journal of Spatial Science. 61:157-172 |
| ISSN: | 1836-5655 1449-8596 |
| DOI: | 10.1080/14498596.2015.1084247 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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