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1860796979390447616
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INTELEK Repository
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Online Access
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https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072
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| date |
2016-01-07 14:05:26
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Restricted Document
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10913
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UniSZA
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5056-01-FH02-FBIM-17-11595.pdf
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Y2D
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oai_dc
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https://intelek.unisza.edu.my/intelek/pages/view.php?ref=10913
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10913 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=10913 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Article Journal application/pdf 1.6 Adobe Acrobat Pro DC 20 Paper Capture Plug-in Y2D 2016-01-07 14:05:26 5056-01-FH02-FBIM-17-11595.pdf 49 UniSZA Private Access Detection of Regional-Scale Conversion of Sabah's Mangrove Forest to Aquaculture Using Change-Point Analysis of MODIS Teris-Series Data Shigeo Fujii2 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. 5 1 1-10
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Detection of Regional-Scale Conversion of Sabah's Mangrove Forest to Aquaculture Using Change-Point Analysis of MODIS Teris-Series Data
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| 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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| title |
Detection of Regional-Scale Conversion of Sabah's Mangrove Forest to Aquaculture Using Change-Point Analysis of MODIS Teris-Series Data
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| title_full |
Detection of Regional-Scale Conversion of Sabah's Mangrove Forest to Aquaculture Using Change-Point Analysis of MODIS Teris-Series Data
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| title_fullStr |
Detection of Regional-Scale Conversion of Sabah's Mangrove Forest to Aquaculture Using Change-Point Analysis of MODIS Teris-Series Data
|
| title_full_unstemmed |
Detection of Regional-Scale Conversion of Sabah's Mangrove Forest to Aquaculture Using Change-Point Analysis of MODIS Teris-Series Data
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| title_short |
Detection of Regional-Scale Conversion of Sabah's Mangrove Forest to Aquaculture Using Change-Point Analysis of MODIS Teris-Series Data
|
| title_sort |
detection of regional-scale conversion of sabah's mangrove forest to aquaculture using change-point analysis of modis teris-series data
|