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Mangrove forests are substantial ecosystems for coastal area because they protect the coast from erosion and role as nursery for other organisms. But nowadays, they are threatened by human activities, especially in a complex coastal area, such as Jakarta Bay. This research aims to map mangrove fores...

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Bibliographic Details
Main Author: CITRA DIAN UTAMI (Nim:15111058) ;Dr. rer. nat. Wiwin Windupranata, S.T., M.Si ., Dr. Ir. Agu, YASMINE
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/20624
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:Mangrove forests are substantial ecosystems for coastal area because they protect the coast from erosion and role as nursery for other organisms. But nowadays, they are threatened by human activities, especially in a complex coastal area, such as Jakarta Bay. This research aims to map mangrove forests in Jakarta Bay annually since 2006 until 2015, so that the area changes can be observed. Mapping process is performed using Landsat 7 ETM+ and Landsat 8 OLI/TIRS satellite images. Pixels of these images are classified into 2 classes; mangrove and non-mangrove. Classification is based on NDVI (Normalized Difference Vegetation Index) value of each pixel. NDVI value range for mangrove class is determined by choosing some sampling spots of mangrove on the images. These processes produce maps of mangrove forests distribution in every year. Through these maps, mangrove forests area of each year can be calculated and the changes can be observed. Mangrove forests area change in Jakarta Bay experiences fluctuation every year with increasing linear trend by year. The minimum mangrove forests area mapped is in 2009 with 2,406,600 m2 area and maximum area in 2014 with 3,780,900 m2 with the average area is 3,055,230 m2. Accuracy assessment of image classification is calculated by comparing it to supervised and manually classified Google Earth image of 2015. Accuracy assessment using manually classified Google Earth image gives a better result with overall accuracy 87.2% and kappa coefficient 0.62. This accuracy value shows how well NDVI in mangrove forests mapping in Jakarta Bay.