Aseran, Alief Wiraguna and Darmawan, Soni and Hernawati, Rika (2021) ESTIMATION OF MANGROVE BIOMASS USING LANDSAT DATA ON GOOGLE EARTH ENGINE (GEE) PLATFORM. In: The 42nd Asian Conference on Remote Sensing (ACRS2021), 22-24th November, 2021, Can Tho University, Can Tho city, Vietnam.
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Abstract
Segara Anakan is one of 3.5 million hectares of Indonesian mangrove forests, and local deforestation has affected the mangrove area leading to the shrinking and decreased biomass of mangrove forests. For management of the mangrove forest is needed information of the biomass in Segara Anakan area. The objective of this study to estimate the biomass using Landsat data time series on the Google Earth Engine (GEE) platform. The methodology including built a Landsat normalized difference vegetation index (NDVI) time series in 1990, 1995, 2003, and 2019 and estimating the biomass in GEE platform, and after that we did the validation with field data. The result showed that the trend of biomass estimation per year in 1990 was 12.8 ton/ha, and it has been increased in 1995 around 14,3 ton/ha, decreased in 2003 with 11.2 ton/ha, and in 2019 was 11.29 ton/ha. The validation showed with R2 = 0.8, which means that the biomass estimation from imagery have a strong correlation with field data.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Paper |
| Depositing User: | Azizullah Putri Akbar |
| Date Deposited: | 09 Nov 2022 02:58 |
| Last Modified: | 09 Nov 2022 02:58 |
| URI: | http://eprints.itenas.ac.id/id/eprint/1996 |
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