Estimation above Ground Biomass of Private Forest Using Sentinel-1 and Sentinel-2 Satellite data (A Case Study in Gunung Kidul, Yogyakarta, Indonesia)

Thesis (M.Sc., Environmental Management)--Prince of Songkla University, 2018

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Bibliographic Details
Main Author:	Askar
Other Authors:	Narissara Nuthammachot
Format:	Theses and Dissertations
Language:	English
Published:	Prince of Songkla University 2023
Subjects:	Forest biomass Surveying
Online Access:	http://kb.psu.ac.th/psukb/handle/2016/19036
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Institution:	Prince of Songkhla University
Language:	English

id	th-psu.2016-19036
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spelling	th-psu.2016-190362023-11-13T07:37:57Z Estimation above Ground Biomass of Private Forest Using Sentinel-1 and Sentinel-2 Satellite data (A Case Study in Gunung Kidul, Yogyakarta, Indonesia) Askar Narissara Nuthammachot Faculty of Environmental Management (Environmental Management) คณะการจัดการสิ่งแวดล้อม สาขาวิชาการจัดการสิ่งแวดล้อม Forest biomass Surveying Thesis (M.Sc., Environmental Management)--Prince of Songkla University, 2018 Private forest has crucial role in maintaining the functioning of Indonesian forest ecosystem especially the continuous degradation of natural forest. Private forest is a part of social forestry which becomes a tool for the Indonesian government to reduce Carbon dioxide (CO2) emission by 26% by 2030. The Reduction Emission Degradation and Deforestation (REDD) scheme has encouraged the Indonesian government to establish forest monitoring system by estimating forest carbon stock using a combination of forest inventory and remote sensing. This study aimed to assess potential Sentinel-1 and Sentinel-2 for estimating Above Ground Biomass (AGB) of private forest. We found that gamma VH delivered from sentinel-1 had significant correlation with AGB whereas parameters from sentinel-2 which had significant correlation with AGB were B3, B4, NDI45, NDVI, SR, IRECI, EVI and NDI75. Combination between NDI45 and EVI through Stepwise linear regression fitted for establishing model between field AGB and vegetation indices (R2 = 0.81). We also found that the AGB in the study area based on spatial analysis was 72.54 ton/ha. A Root Mean Square Error (RMSE) value from predicted and observed AGB was 27 ton/ha. AGB in private forest is categorized into moderate class due to behavior of the farmers to cut the forest in particular time. Overall, vegetation indices more superior than spectral value and radar backscatter to assess AGB in private forest. 2023-11-13T07:37:57Z 2023-11-13T07:37:57Z 2018 Thesis http://kb.psu.ac.th/psukb/handle/2016/19036 en Attribution-NonCommercial-NoDerivs 3.0 Thailand http://creativecommons.org/licenses/by-nc-nd/3.0/th/ application/pdf Prince of Songkla University
institution	Prince of Songkhla University
building	Khunying Long Athakravi Sunthorn Learning Resources Center
continent	Asia
country	Thailand Thailand
content_provider	Khunying Long Athakravi Sunthorn Learning Resources Center
collection	PSU Knowledge Bank
language	English
topic	Forest biomass Surveying
spellingShingle	Forest biomass Surveying Askar Estimation above Ground Biomass of Private Forest Using Sentinel-1 and Sentinel-2 Satellite data (A Case Study in Gunung Kidul, Yogyakarta, Indonesia)
description	Thesis (M.Sc., Environmental Management)--Prince of Songkla University, 2018
author2	Narissara Nuthammachot
author_facet	Narissara Nuthammachot Askar
format	Theses and Dissertations
author	Askar
author_sort	Askar
title	Estimation above Ground Biomass of Private Forest Using Sentinel-1 and Sentinel-2 Satellite data (A Case Study in Gunung Kidul, Yogyakarta, Indonesia)
title_short	Estimation above Ground Biomass of Private Forest Using Sentinel-1 and Sentinel-2 Satellite data (A Case Study in Gunung Kidul, Yogyakarta, Indonesia)
title_full	Estimation above Ground Biomass of Private Forest Using Sentinel-1 and Sentinel-2 Satellite data (A Case Study in Gunung Kidul, Yogyakarta, Indonesia)
title_fullStr	Estimation above Ground Biomass of Private Forest Using Sentinel-1 and Sentinel-2 Satellite data (A Case Study in Gunung Kidul, Yogyakarta, Indonesia)
title_full_unstemmed	Estimation above Ground Biomass of Private Forest Using Sentinel-1 and Sentinel-2 Satellite data (A Case Study in Gunung Kidul, Yogyakarta, Indonesia)
title_sort	estimation above ground biomass of private forest using sentinel-1 and sentinel-2 satellite data (a case study in gunung kidul, yogyakarta, indonesia)
publisher	Prince of Songkla University
publishDate	2023
url	http://kb.psu.ac.th/psukb/handle/2016/19036
_version_	1783957340998860800

Estimation above Ground Biomass of Private Forest Using Sentinel-1 and Sentinel-2 Satellite data (A Case Study in Gunung Kidul, Yogyakarta, Indonesia)

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