| dc.description.abstract | Mangrove forest is one of the forests with high biomass storage in the tropics besides mainland forests. The mangrove ecosystem has an ecological function as a carbon reducer through a sequestration process (C-sequestration). One technique that can be used to calculate biomass is the use of remote sensing technology using satellite imagery and the application of transformation of the vegetation index. This study aims to obtain the best biomass estimator equation model from several vegetation indices, analyze the estimated biomass value from Landsat 7 imagery in 2002 and the estimated biomass value from Landsat 8 imagery in 2022, and map the distribution of the estimated distribution of the above ground biomass of mangrove stands in Panai Hilir District, Labuhanbatu Regency from Landsat 7 imagery. and Landsat 8 in 2002 and 2022. This study used a systematic sampling method with random start with a total of 70 plots. Biomass calculations are carried out using allometric equations. Modeling uses the dependent variable (biomass) and the independent variable (vegetation index). Vegetation index used are NDVI, GNDVI, and TDVI. The results of this study obtained that the chosen equation model was the GNDVI (Green Normalized Difference Vegetation Index) linear equation model y = 11, 479x – 2,5569 with r2 of 0,404. The total above ground biomass of mangroves at the research location in 2002 was 7.676,51 tons/ha with the highest biomass is 200,47 tons/ha. The total abouve ground biomass of mangroves at the research location in 2022 is 6.879,64 tons/ha with the highest biomass is 213,10 tons/ha. Based on the selected estimator model, estimated biomass value in 2002 with average of 1,09, while in 2022 value with average of 0,98. The comparison of the actual value with the estimated value in 2002 has bias value of 0,07 and in 2022 it has bias value of 0,17. | en_US |
