Pemodelan Cadangan Karbon, Diameter Batang, Tinggi Pohon Berdasarkan Luas Tajuk dan Indeks Vegetasi di Kawasan Restorasi Mangrove

Abstract

Pemulihan ekosistem mangrove berperan penting dalam menyerap dan menyimpan karbon. Penelitian ini bertujuan untuk membangun model penduga cadangan karbon, diameter batang, dan tinggi pohon berdasarkan luas tajuk dan indeks vegetasi di kawasan restorasi mangrove, Desa Sungsang IV, Sumatra Selatan. Data yang diperoleh dari pengukuran lapangan dan citra drone dengan ketinggian 30 meter dan 50 meter. Luas tajuk yang diolah menggunakan algoritma segmentation multiresolution, delineasi manual, dan indeks vegetasi dihitung berdasarkan nilai NDVI, GNDVI, TDVI, GRVI, SAVI, dan OSAVI. Analisis regresi dilakukan dengan beberapa pendekatan model linear, polynomial, power, eksponenial, dan logaritmik. Hasil menunjukkan bahwa model polynomial berdasarkan delineasi manual dengan ketinggian drone 30 meter merupakan model terbaik untuk menduga diameter batang, tinggi pohon serta model power untuk menduga total karbon, bawah permukaan, atas permukaan. Indeks vegetasi NDVI dan OSAVI dengan nilai mean juga menunjukkan hubungan positif terhadap nilai karbon.

Mangrove ecosystem restoration plays an important role in absorbing and storing carbon. This study aims to build models to estimate carbon stocks, stem diameter, and tree height based on canopy area and vegetation indices in the mangrove restoration area of Sungsang IV Village, South Sumatra. Data was obtained from field measurements and drone image acquisitions from a height of 30 meters and 50 meters. The canopy area was processed using a multiresolution segmentation algorithm, manual delineation, and the vegetation indices were calculated using NDVI, GNDVI, TDVI, GRVI, SAVI, and OSAVI formula. Regression analysis was carried out using several linear, polynomial, power, exponential, and logarithmic model approaches. The results showed that the polynomial models based on manual delineation with a drone height of 30 meters were the best models for estimate stem diameter, tree height and power model for estimating total carbon, belowground, aboveground. The vegetation indices NDVI and OSAVI with mean values also showed a positive relationship to carbon values.