Evaluation of Multi-temporal Imagery and Vegetation Indices for Mangrove Mapping (Case Study of The East Coast of Lampung)
| Autor: | Nirmawana Simarmata, Ketut Wikantika, Soni Darmawan, Trika Agnestasia Tarigan, Muhammad Aldyansyah, Rizki Kurnia Tohir, Yustika Purnama, Cylia Nova Yewanda |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | IOP Conference Series: Earth and Environmental Science. 1083:012067 |
| ISSN: | 1755-1315 1755-1307 |
| DOI: | 10.1088/1755-1315/1083/1/012067 |
| Popis: | Mangrove ecosystem monitoring aims to provide information on a regular basis to be used as a reference in sustainable management activities in an effort to maintain the functions and services of the mangrove ecosystem. Mangroves have a very high level of threat to exploitation, namely logging and land conversion which can cause increasingly damaged conditions. This study aims to map changes in mangrove density by comparing several methods using multi-temporal data. The satellite image data used are Landsat images in 2010, 2015 and 2020. The research method used is the transformation of the vegetation indices ARVI, DVI, EVI, GNDVI, MSAVI, NDVI, RVI and TSAVI. Based on the results of the analysis carried out, the identification of mangrove density shows that the index value is in the range -1 – 18.31 with the division of density classes into 5 classes, namely very low, low, medium, high and very high. The mangrove class is in the range of values from 0.4 to 0.8 with a medium to very high density class. The results of the map accuracy test which were validated using 30 samples in the field obtained an accuracy of 84.38%. This accuracy value is quite good with the multi-temporal image used is of medium resolution. |
| Databáze: | OpenAIRE |
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