Carbon stock estimation of seagrass species thalassia hempricii using planet imagery with band ratio transformation in nirwana beach, padang city

Coastal ecosystems such as seagrass beds can store large amounts of carbon over a relatively long period of time, so a special study is needed for the seagrass ecosystem. Nirwana Beach located in Padang City presents an overview of extensive seagrass ecosystem. The carbon stock is estimated by utili...

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Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2019-06, Vol.280 (1), p.12039
Main Authors: Isnaen, Zulfikri, Pratama, Abimanyu Putra, Utami, Adriati Annisa, Prananda, Aldo Restu Agi, Purnama, Andes Dias, Zhafarina, Zhafirah, Wicaksono, Pramaditya
Format: Article
Language:English
Subjects:
Accuracy
band ratio
Beaches
Carbon
carbon stock
climate change
coastal ecosystem
Coastal ecosystems
Correlation analysis
Data processing
Ecosystems
Imagery
marine ecosystem
Nirwana beach
Planet imagery
Regression analysis
remote sensing
Spatial discrimination
Spatial resolution
Thalassia hempricii
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Summary:Coastal ecosystems such as seagrass beds can store large amounts of carbon over a relatively long period of time, so a special study is needed for the seagrass ecosystem. Nirwana Beach located in Padang City presents an overview of extensive seagrass ecosystem. The carbon stock is estimated by utilizing Planet imagery with spatial resolution 3m with band ratio transformation method. Band ratio used are band ratio Green / Blue, Green / Red, and Blue / Red. Data processing is done based on correlation analysis and regression analysis between band ratio pixel value on image with value of carbon stock in field. The results show that band ratio of Green / Red has the highest r2 indicating a strong correlation relationship. The carbon stock in Nirwana Beach with total carbon 3,776,42 gC / m2 or or 3,78 kgC / m2. Accuracy test is done with standard estimate error where the highest accuracy value is obtained through the Green / Red band ratio with accuracy percent 59.98%. This research shows that the carbon stock estimation in Nirwana Beach is underestimate.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/280/1/012039