Mapping carbon dioxide (CO2) emissions from peat subsidence using carbon parameters and InSAR observations in south Kalimantan, Indonesia
Department of Agroecotechnology, Universitas Lambung Mangkurat, Indonesia
Department of Geomatics Engineering, Institut Teknologi Sepuluh Nopember, Indonesia
Research Center of Remote Sensing, National Research and Innovation Agency, Indonesia
Aeolus Instrument Performance Engineer, European Space Agency, Netherlands
Data nadesłania: 19-10-2022
Data ostatniej rewizji: 13-05-2023
Data akceptacji: 15-07-2023
Data publikacji online: 15-07-2023
Data publikacji: 08-09-2023
Autor do korespondencji
Noorlaila Hayati   

Department of Geomatics Engineering, Institut Teknologi Sepuluh Nopember, Jl. Raya ITS, 60111, Surabaya, Indonesia
Soil Sci. Ann., 2023, 74(2)169656
Peatlands are recognized as one of the largest terrestrial carbon sinks and are pivotal in efforts to mitigate climate change. Given this, Indonesia has committed to managing its peatlands, which have been subjected to drainage, deforestation, fires, and conversion for development. As of 2015, the Center for Agricultural Land Resources has mapped 107,344 ha of peatlands in South Kalimantan Province. However, in 2019, forest fires destroyed 2,400 ha of land, leading to the decomposition of surface peat areas, land subsidence, and the release of carbon into the atmosphere as CO2. This study aimed to quantify the widespread loss of peat carbon using the PS-InSAR (Persistent Scatterer Interferometric Synthetic Aperture Radar) technique. Specifically, 66 Sentinel 1 SAR images of SLC were used to map subsidence in the peatland area between January 2019 and January 2021. The carbon content and bulk density of peatland were then quantified to estimate CO2 emission. The results obtained through the PS-InSAR technique showed that the highest level of peat subsidence was at -50 mm year-1 in the Landasan Ulin Sub-district of Banjarbaru Regency. Furthermore, subsidence was identified in 6,920.5 ha of peatland in the study area. Subsidence, peat area, and carbon content data from SAR images, optical images, and peat soils were gathered through field surveys and websites (GSOCMap and Zenodo) to estimate CO2 emission. The estimated CO2 emissions based on in-situ and website data were the highest at 0.29 t C ha-1 year-1 and 0.04 t C ha-1 year-1 in Beruntung Baru Sub-district, Banjar Regency, and Bumi Makmur Sub-district, Tanah Laut Regency, respectively.
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