| Summary: | estimate with Nowadays, forest carbon stocks estimate have been
terrestrial methods, not utilize the remote sensing data. The ability of remote
sensing data was more efficient in time, expense, and energy aspect compared
with terrestrial methods, but terrestrial methods give higher accuracy rather than
remote sensing.
carbon stocks from each vegetation index transformations (SR, NDVI,
This study tried to determining the ability of remote sensing data, and to
ensure the most optimum vegetation index transformations in estimating
mangrove forest carbon stocks. Correlation between each vegetation index
transformations and the stocks carbon in study area include each accuracy level
was resulted relate to the aim of this study. Counting the carbon stocks in every
sample to be correlated with each vegetation index values was used as the method
of this study. Accuracy assessment was done by compare with actual data to
ensure the accuracy each vegetation index transformations.
TVI, RVI, SAVI, EVI) c
The result of this study was the correlation includes the level of accuracy
and total
ompared with actual data. EVI and TVI were the best
transformations to estimating carbon stocks with R2 values of EVI = 0,72 and
TVI = 0,63, with accuracy of EVI ± 74.40139 tons/ha and TVI ± 39.70762
tons/ha. The conclusion from this study, known vegetation index EVI and TVI is
an index that has the best correlation and accuracy, EVI and TVI is the best
vegetation index for estimating the mangrove forest carbon. Estimation of total
carbon in Segoroanak mangrove forest area covering 1.368 ha for EVI
transformation is 600.569 tons and 583.981 tons of TVI transformation.
|
|---|