Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital
Vol. 12 No. 1 (2015)

PENDETEKSIAN POTENSI CADANGAN KARBON DI ATAS PERMUKAAN PADA HUTAN MANGROVE DI KUBU RAYA MENGGUNAKAN CITRA ALOS PALSAR

Yudi Fatwa Hudaya (Kementerian Kehutanan)
Hartono Hartono (Universitas Gadjah Mada)
Sigit Heru Murti (Universitas Gadjah Mada)
Yayan Hadiyan (Kementerian Kehutanan)



Article Info

Publish Date
01 Jun 2015

Abstract

The need for sufficient forest carbon stock measurement system which encompasses a faster and covering broader geographic area is now growing, one of which is the use of synthetic aperture radar (SAR). The objectives of this study were to demonstrate the advantage of ALOS PALSAR application for carbon quantification in mangroves, which apparently provided better relationship in between the L-band backscatters of ALOS PALSAR and the actual aboveground allometric based forest carbon stock of mangroves, compared with previous studies in other types of forest. i.e in tropics or temperate lowland until mountain forests. The better relationship explained by the coefficient determination (R²) of 62 % based on HH polarization with the equation model of Y = 1647.20 + 6.8288BS_HV + 279.48BS_HV + 2870. While previous studies mentioned the R² were only 16 - 76%. The models obtained subsequently were subjected to total carbon quantification and their distributions were mapped. The quantity of aboveground biomass of mangrove forest in Kubu Raya Regency was (Mega grams) or 5.3 Mt (Mega grams), the quantity of carbon dioxide (CO2) sequestration reached 19 451 Mt (Megagrams) equivalent. The 71,069.21 ha area of mangrove forest has the potential to reduce the rate of GHG (Green House Gas) emissions from forestry sector by 0.76%.

Copyrights © 2015






Journal Info

Abbrev

inderaja

Publisher

Subject

Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Description

Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital (the Journal of Remote Sensing and Digital Image Processing) is a scientific journal dedicated to publishing research and development in technology, data, and the utilization of remote sensing. The journal encompasses the scope of remote ...