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

4th International Conference of Indonesian Society for Remote Sensing

物理学;能源学

Wicaksono, Pramaditya^1 ; Isnaen, Zulfikri^1 ; Pratama, Abimanyu Putra^1 ; Utami, Adriati Annisa^1 ; Prananda, Aldo Restu Agi^1 ; Purnama, Andes Dias^1 ; Zhafarina, Zhafirah^1

Universitas Gadjah Mada (UGM), Indonesia^1

关键词: Band ratios;    Carbon stocks;    Coastal ecosystems;    Correlation analysis;    Spatial resolution;    Strong correlation;    Thalassia hempricii;    Transformation methods;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/280/1/012039/pdf
DOI  :  10.1088/1755-1315/280/1/012039

来源: IOP

【 摘 要 】

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.