Abstract

Mangrove has numerous ecological functions, such as a habitat for various biota, a place of care and rearing, with a microclimate regulator and spawning. This ecosystem can store the highest carbon compared to tropical, subtropical, and boreal forests. This research aimed to model the estimation of mangrove carbon stocks using drone images. The method used consists of several steps as follows: (1) Taking and analyzing drone images, (2) Identification and estimation of biomass with carbon stocks, (3) Modeling of mangrove carbon stock using drone and field data. The results of mangrove carbon estimation using logarithmic regression of drone images were the best, by the equation y = 0.0455ln (x) + 0.244. Therefore, the results showed that the R2 value was 0.7454, with the RMSE accuracy-test being 689.9 kg, at 35.4%.Keywords:DronesMangroveCarbon stock

Highlights

  • Mangrove is a coastal forest with numerous ecological functions, such as a habitat for various biota, a place of care and rearing, with a microclimate regulator and spawning (Kauffman and Donato, 2012; Donato et al, 2012)

  • The biomass measurement stage began with measuring the diameter at breast height for all mangrove tree types in each plot at all stations

  • It uses allometric equations to estimate the weight of above-ground mangrove biomass

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Summary

Introduction

Mangrove is a coastal forest with numerous ecological functions, such as a habitat for various biota, a place of care and rearing, with a microclimate regulator and spawning (Kauffman and Donato, 2012; Donato et al, 2012). 50% of the world's mangroves are being damaged by various activities, while 35% of 50% are due to land conversion, cultivation, and coastal area development (Feller et al, 2010). The mangrove vicinity in the world is observed to be 2% of the coastal area. It has a 5% primary production function, 12% respiration, and about 30% carbon absorption (Alongi and Mukhopadhyay, 2015). This research aimed to find an estimation model for mangrove carbon stock using UAV (Unmanned Aerial Vehicle) aircraft/drones

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