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Copy of Remote Sensing and GIS for Mangrove Forest Degradation in Br
Transcript of Copy of Remote Sensing and GIS for Mangrove Forest Degradation in Br
Materials & Methodology.
1) Supervising into 5 Classification (LANDSAT Image 1990-2009-2013)
2) Using Erdas and Multispec Software to perform the NDVI mapping.
1) Change detection analysis by classifying the LANDSAT and SPOT images.
2) Using landscape metrics to measure the extention og the LULC
3) Using the Patch Analysis to calculate the rate of the degradation
The National Remote Sensing Agencies (NRSA) recorded a decline of about 9000ha of mangroves in India from 2000 to 2010.
The conservation International Organization (2010), mentioned about 80% of all mangroves area in India and South East Asia were already degraded for the past 60 years.
Hussin, yousif et.al (2000), used remotely sensed data to locate and classified the deforested or degrade mangrove forest in Southern Thailand.
Narimah Samat et.al (2009) used the landscape metrics and patch analysis to measure change detection for the land use or land cover change in Langkawi from 1974-2005.
Aim & Objectives
to create awareness to protect mangrove forest in Brunei for sustainability and conserving the biodiversity.
To map out the Mangrove area in Mukim Bunut
and to calculate the rate of degradation of the AOI over LULC.
Degradation of Mangrove in Mukim Bunut
back in 2009 - present
There has been a SIGNIFICANT degradation of mangrove
forest in Kg Bengkurong.
Expected Result & Contribution
The map and also rate of degradation is expected around the AOI. From this expected result can help the contribution of the research:
1) Beneficial to JASTRE / FORESTRY and Environmental Conservation and Biodiversity Group in University of Brunei Darussalam.
2) Technically, RS and GIS is used for processing and analyzing the data easily and efficiently.