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

Abstract

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.

Seagrass Aboveground Carbon Stock Mapping using PlanetScope SuperDove Imagery in Nemberala, Rote Island, East Nusa Tenggara

“…Based on [14] the size of the photo-quadrant plot is close to the pixel size of the imagery or larger than that, for PlanetScope with a 3-meter resolution 1 m 2 plot is still effective. Calculation of AGC with gram carbon per leaf (gC/leaf) was calculated using Loss on Ignition (LOI) methods according to [4,15].…”

“…Also, [20] have already mapped AGC in Parang Island with the highest accuracy of 66.9%. Beside that [15] also used PlanetScope to map seagrass AGC in Nirwana beach with the highest accuracy at 59.98%. The previous studies show similar accuracy results, where the difference is in the standard errors.…”

“…This was caused by the instability of the number of sample points that represent PC in every pixel from the photo-transect analysis or errors in GPS coordinates. According to [15] PlanetScope has a 3-meter resolution, which differs from the sampling plot for photo-quadrant or photo transect. Consequently, in every pixel there will be a different value of samples, which can be more than one value for one pixel.…”

Country-specific emission factor for developing a tier 3 system of Indonesia’s seagrass carbon inventory

“…Some research using the remote-sensing approach has been conducted for rapid assessment of seagrass area, coverage, and carbon stock [21,60,66,67]. The common challenge in this kind of study is the inundated seagrass ecosystem that is optically complex for remote sensing.…”