TY - JOUR
T1 - Monitoring Area and Health Changes of Mangrove Forest Using Multitemporal Landsat Imagery in Taman Hutan Raya Ngurah Rai, Bali Province
AU - Nurhaliza, A. P.
AU - Damayanti, A.
AU - Dimyati, M.
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/2/27
Y1 - 2021/2/27
N2 - The mangrove forest is a very productive ecosystem, both economically and ecologically. Mangrove forests can protect settlements, buildings, and agriculture on the coast from strong winds or seawater intrusion, support the livelihoods of coastal communities and store high carbon stocks. Regardless of its role, the Taman Hutan Raya Ngurah Rai Mangrove Forest continues to be threatened by human activities. This study aims to monitor changes in the area, health, and water quality of mangrove forests. The data used are Landsat 7 ETM + imagery and Landsat 8 OLI in 2010-2020. We used NDVI vegetation indices to analyze mangrove health and Total Suspended Solid (TSS) to investigate the water quality of the mangrove forest. Temporal water quality parameters are obtained by using the TSS algorithm on Landsat imagery. The results showed variations in mangrove forest area changes, NDVI values, and water quality. In 2010 - 2015 Mangrove Forest Area increase by 117.72 ha but decrease in 2015-2020 by 96.21 ha. Mangrove health was also improved in 2010-2015 but the decline in 2015-2020. Meanwhile, mangrove forest water quality seen from the TSS distribution tends to grow from 2010 to 2020.
AB - The mangrove forest is a very productive ecosystem, both economically and ecologically. Mangrove forests can protect settlements, buildings, and agriculture on the coast from strong winds or seawater intrusion, support the livelihoods of coastal communities and store high carbon stocks. Regardless of its role, the Taman Hutan Raya Ngurah Rai Mangrove Forest continues to be threatened by human activities. This study aims to monitor changes in the area, health, and water quality of mangrove forests. The data used are Landsat 7 ETM + imagery and Landsat 8 OLI in 2010-2020. We used NDVI vegetation indices to analyze mangrove health and Total Suspended Solid (TSS) to investigate the water quality of the mangrove forest. Temporal water quality parameters are obtained by using the TSS algorithm on Landsat imagery. The results showed variations in mangrove forest area changes, NDVI values, and water quality. In 2010 - 2015 Mangrove Forest Area increase by 117.72 ha but decrease in 2015-2020 by 96.21 ha. Mangrove health was also improved in 2010-2015 but the decline in 2015-2020. Meanwhile, mangrove forest water quality seen from the TSS distribution tends to grow from 2010 to 2020.
KW - Landsat
KW - mangrove forest
KW - NDVI
KW - supervised classification
UR - http://www.scopus.com/inward/record.url?scp=85102417255&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/673/1/012050
DO - 10.1088/1755-1315/673/1/012050
M3 - Conference article
AN - SCOPUS:85102417255
SN - 1755-1307
VL - 673
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012050
T2 - 3rd International Conference on Smart City Innovation, ICSCI 2020
Y2 - 5 August 2020 through 6 August 2020
ER -
