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Aboveground Biomass Estimation of Mangrove Ecosystem in the Anambas Islands Using Remote Sensing Data

التفاصيل البيبلوغرافية
العنوان: Aboveground Biomass Estimation of Mangrove Ecosystem in the Anambas Islands Using Remote Sensing Data
المؤلفون: Laia Dominikus Yoeli Wilson, Sinaga Ronald Raditya Kesatria, Ghivarry Giusti, Sukmawijaya Adhera, Andrito Wahyudi, Hanif Andriyatno, Irfansyah Rahmat, Febrianto Try
المصدر: BIO Web of Conferences, Vol 70, p 03005 (2023)
بيانات النشر: EDP Sciences, 2023.
سنة النشر: 2023
المجموعة: LCC:Microbiology
LCC:Physiology
LCC:Zoology
مصطلحات موضوعية: Microbiology, QR1-502, Physiology, QP1-981, Zoology, QL1-991
الوصف: The Anambas Islands is located in the Natuna Sea - the southern part of the South China Sea, encompassing vital marine ecosystems. Among these ecosystems, the mangrove stands out as crucial in the Anambas, playing an important role in providing a range of ecosystem services. However, spatial information regarding the condition of this ecosystem is very limited. In this study, our focus was on estimating and mapping the aboveground biomass (AGB) of mangroves across the Anambas using a combination of field survey and satellite remote sensing data. We employed seven vegetation indices along with five regression methods to determine the most suitable combination for producing an AGB. Our findings revealed that the incorporation of Sentinel-2 remote sensing images and field survey data can be used to model the AGB. The best combination model was the Modified Soil Adjusted Vegetation Index (MSAVI) and polynomial regression, achieving an accuracy of 72.09%. Anambas was estimated to possess a potential AGB of 369,371.47 tonnes and a carbon stock of 173,604.59 tonnes. These findings provide valuable information for regional conservation strategies, including the identification of protected zones, the establishment of a baseline for mangrove conditions, and the assessment of carbon credit in the Anambas.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
French
تدمد: 2117-4458
Relation: https://www.bio-conferences.org/articles/bioconf/pdf/2023/15/bioconf_macific2023_03005.pdf; https://doaj.org/toc/2117-4458
DOI: 10.1051/bioconf/20237003005
URL الوصول: https://doaj.org/article/f38d8ba5f3dc46b391d0b9c4ac0f2c77
رقم الأكسشن: edsdoj.f38d8ba5f3dc46b391d0b9c4ac0f2c77
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:21174458
DOI:10.1051/bioconf/20237003005