CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 12977 > Article
Paper
29 January 2024 Above-ground biomass mapping of mangrove forest using WorldView-3 imagery in Gili Lawang, Nusa Tenggara Barat
Edelweiss Maheswari Rinjani, Aurelia Nur Khofifah, Devandra Budi Mahendra Putra Pattiasina, Fannya Rachma Annisa, Galang Baasith Adidharma, Muhammad Kamal, Candra Sari Djati Kartika
Author Affiliations +
Proceedings Volume 12977, Eighth Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet; 129771Q (2024) https://doi.org/10.1117/12.3009661
Event: 8th Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet, 2023, Yogyakarta, Indonesia
Abstract
Mangrove ecosystems are one of the blue carbon parameters with large carbon storage capabilities. The carbon sequestration is crucial in addressing the greenhouse effect that causes the rise of carbon emissions in the atmosphere. One of the measurements that can be made is the estimation of mangrove above-ground biomass (AGB). This is due to the binding of carbon stored in the form of mangrove biomass. The aim of this research is to estimate and map the spatial distribution of mangrove above-ground biomass (AGB) is conducted using WorldView-3 (WV-3) image, a high spatial resolution remote sensing data. We used Normalized Difference Vegetation Index (NDVI) and Soil Adjusted Vegetation Index (SAVI) to estimate mangrove above-ground biomass (AGB). Field data obtained from measuring mangrove tree diameter at breast height (DBH) which is then calculated using the allometric equation. We conducted regression analysis between field data and vegetation indices (NDVI and SAVI) to determine the most accurate vegetation index for estimating mangrove above-ground biomass values varied across the mangrove forest. This results of this research shows that the NDVI vegetation index provided higher accuracy for mangrove AGB estimation than SAVI index with R2 of 0,603 and resulting the AGB value between 750 to 1.300 kg/m2.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Edelweiss Maheswari Rinjani, Aurelia Nur Khofifah, Devandra Budi Mahendra Putra Pattiasina, Fannya Rachma Annisa, Galang Baasith Adidharma, Muhammad Kamal, and Candra Sari Djati Kartika "Above-ground biomass mapping of mangrove forest using WorldView-3 imagery in Gili Lawang, Nusa Tenggara Barat", Proc. SPIE 12977, Eighth Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet, 129771Q (29 January 2024); https://doi.org/10.1117/12.3009661
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 10 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Vegetation
Biomass
Biological research
Data modeling
Carbon
Image processing
Remote sensing
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top