Monitoring vegetation drought using MODIS remote sensing indices for natural forest and plantation areas
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 availabilit...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis
2016
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/35569/1/Monitoring%20vegetation%20drought%20using%20MODIS%20remote%20sensing%20indices%20for%20natural%20forest%20and%20plantation%20areas.pdf |
| _version_ | 1796972735891505152 |
|---|---|
| author | Mohd Razali, Sheriza Atucha, Arnaldo Aitor Marin Nuruddin, Ahmad Ainuddin Abdul Hamid, Hazandy Mohd Shafri, Helmi Zulhaidi |
| author_facet | Mohd Razali, Sheriza Atucha, Arnaldo Aitor Marin Nuruddin, Ahmad Ainuddin Abdul Hamid, Hazandy Mohd Shafri, Helmi Zulhaidi |
| author_sort | Mohd Razali, Sheriza |
| collection | UPM |
| description | 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. |
| first_indexed | 2024-03-06T08:32:43Z |
| format | Article |
| id | upm.eprints-35569 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T08:32:43Z |
| publishDate | 2016 |
| publisher | Taylor & Francis |
| record_format | dspace |
| spelling | upm.eprints-355692018-08-13T01:52:56Z http://psasir.upm.edu.my/id/eprint/35569/ Monitoring vegetation drought using MODIS remote sensing indices for natural forest and plantation areas Mohd Razali, Sheriza Atucha, Arnaldo Aitor Marin Nuruddin, Ahmad Ainuddin Abdul Hamid, Hazandy Mohd Shafri, Helmi Zulhaidi 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. Taylor & Francis 2016 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/35569/1/Monitoring%20vegetation%20drought%20using%20MODIS%20remote%20sensing%20indices%20for%20natural%20forest%20and%20plantation%20areas.pdf Mohd Razali, Sheriza and Atucha, Arnaldo Aitor Marin and Nuruddin, Ahmad Ainuddin and Abdul Hamid, Hazandy and Mohd Shafri, Helmi Zulhaidi (2016) Monitoring vegetation drought using MODIS remote sensing indices for natural forest and plantation areas. Journal of Spatial Science, 61 (1). pp. 157-172. ISSN 1449-8596; ESSN: 1836-5655 https://www.tandfonline.com/doi/abs/10.1080/14498596.2015.1084247 10.1080/14498596.2015.1084247 |
| spellingShingle | Mohd Razali, Sheriza Atucha, Arnaldo Aitor Marin Nuruddin, Ahmad Ainuddin Abdul Hamid, Hazandy Mohd Shafri, Helmi Zulhaidi Monitoring vegetation drought using MODIS remote sensing indices for natural forest and plantation areas |
| title | Monitoring vegetation drought using MODIS remote sensing indices for natural forest and plantation areas |
| title_full | Monitoring vegetation drought using MODIS remote sensing indices for natural forest and plantation areas |
| title_fullStr | Monitoring vegetation drought using MODIS remote sensing indices for natural forest and plantation areas |
| title_full_unstemmed | Monitoring vegetation drought using MODIS remote sensing indices for natural forest and plantation areas |
| title_short | Monitoring vegetation drought using MODIS remote sensing indices for natural forest and plantation areas |
| title_sort | monitoring vegetation drought using modis remote sensing indices for natural forest and plantation areas |
| url | http://psasir.upm.edu.my/id/eprint/35569/1/Monitoring%20vegetation%20drought%20using%20MODIS%20remote%20sensing%20indices%20for%20natural%20forest%20and%20plantation%20areas.pdf |
| work_keys_str_mv | AT mohdrazalisheriza monitoringvegetationdroughtusingmodisremotesensingindicesfornaturalforestandplantationareas AT atuchaarnaldoaitormarin monitoringvegetationdroughtusingmodisremotesensingindicesfornaturalforestandplantationareas AT nuruddinahmadainuddin monitoringvegetationdroughtusingmodisremotesensingindicesfornaturalforestandplantationareas AT abdulhamidhazandy monitoringvegetationdroughtusingmodisremotesensingindicesfornaturalforestandplantationareas AT mohdshafrihelmizulhaidi monitoringvegetationdroughtusingmodisremotesensingindicesfornaturalforestandplantationareas |