ANALYSIS OF VEGETATION DYNAMICS IN THE MOUNT PAPANDAYAN NATURE PRESERVE AND NATURE PARK, WEST JAVA ON 2001-2018 USING MULTI-TEMPORAL SATELLITE IMAGERY
The Mount Papandayan Nature Preserve and Nature Park area is an active volcanic region that has unique vegetation dynamics. This is due to the response of vegetation from ecological disturbances such as volcanic eruptions and forest fires. The disorder raises vegetation cover patterns that vary each...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/37033 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | The Mount Papandayan Nature Preserve and Nature Park area is an active volcanic region that has unique vegetation dynamics. This is due to the response of vegetation from ecological disturbances such as volcanic eruptions and forest fires. The disorder raises vegetation cover patterns that vary each year. Vegetation cover patterns that can be observed are grass/herbs, agriculture, shrubs, and forests. This study aims to study the dynamics of vegetation by determining the distribution and changes in vegetation cover in the Mount Papandayan. The dynamic analysis of vegetation was carried out using a remote sensing approach and using geographic information system software ENVI 5.1 and ArcGIS. In this study, the satellite image data used came from Landsat 7 ETM + satellite images (2001 and 2011), Landsat 5 (2007), and Landsat 8 OLI-TRS (2016 and 2018) which were corrected atmospherically and geometrically. Then for detection of vegetation cover using a multispectral image classification approach with supervised classification method. To see changes in vegetation cover, the image that has been classified is analyzed using post-classification method to obtain a transition matrix. Meanwhile, testing the level of image accuracy was carried out using the Kappa Coehen match accuracy test. The results of the image accuracy test obtained a Kappa Coehen value of 0.89 which indicates a very good level of accuracy. The results of the interpretation of satellite images show that in the 2001-2007 period, there was a pattern of slow recovery of vegetation with a tendency towards no change in open land to forest. In the period 2007-2011 and 2011-2016, it has a pattern of rapid recovery of vegetation with the dominance of changes in open land and vegetation cover to be more complex vegetation cover. The 2016-2018 period has a relatively fast vegetation pattern with a tendency to change vegetation cover (grass or herbs, shrubs or shrubs, and agriculture) into forests.
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