Detection of Regional-Scale Conversion of Sabah's Mangrove Forest to Aquaculture Using Change-Point Analysis of MODIS Teris-Series Data
The deforestation of Sabah’s mangrove forests for aquaculture activities has been conducted massively. As a result, the extent and diversity of these forests are declining at an alarming rate and the remaining mangrove forests are mostly in degraded condition. Continuous monitoring using low-cost re...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
2016
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| Subjects: | |
| Online Access: | http://eprints.unisza.edu.my/5056/1/FH02-FBIM-17-11595.pdf http://eprints.unisza.edu.my/5056/ |
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| Institution: | Universiti Sultan Zainal Abidin |
| Language: | English |
| Summary: | The deforestation of Sabah’s mangrove forests for aquaculture activities has been conducted massively. As a result, the extent and diversity of these forests are declining at an alarming rate and the remaining mangrove forests are mostly in degraded condition. Continuous monitoring using low-cost remotely sensed data would be a useful technique to monitor the changes of mangrove forests. The objective of this study is to demonstrate the potential of MODIS time-series data for detecting and monitoring the deforestation of mangrove forests in Mengkabong, Sabah. A simple robust statistical method of change analysis is developed and applied to MODIS enhanced vegetation index (EVI) time-series data. The findings of this study confirm that the technique can be applied to determine the history of mangrove deforestation and aquaculture development in Mengkabong for a 14 year period (2000-2013). With the continuation of satellite data acquisition using MODIS sensors, this method could also be useful to monitor and verify the changes of Sabah’s mangrove forests in the future. |
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