PARAMETERS TO ESTIMATE CO2 EMISSION IN PEATLAND AREA BASED ON CARBON CONTENT AND SUBSIDENCE RATE FROM SAR INTERFEROMETRY

Hayati, Noorlaila; Sari, Noorkomala; Arief, R.; Uzzulfa, M. A.

doi:10.5194/isprs-archives-xliii-b3-2022-277-2022

Cited by 2 publications

(2 citation statements)

References 19 publications

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“…The first dataset was peatland subsidence, obtained from the processing of Sentinel-1. This was conducted using the PS-InSAR time series technique with slowly decorrelating filtered phase (SDFP) pixels (Hooper et al, 2008) from January 2019 to 2021, according to the previous study by Hayati et al (2022). It was converted into raster data using the surface gridding method in GMT.…”

Section: Data Processing Of Sar Using Ps-insar Time Seriesmentioning

confidence: 99%

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Mapping carbon dioxide (CO2) emissions from peat subsidence using carbon parameters and InSAR observations in south Kalimantan, Indonesia

Sari,

Hayati,

Uzzulfa

et al. 2023

Soil Sci. Ann.

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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, fi res, 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 fi res 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 CO 2 . This study aimed to quantify the widespread loss of peat carbon using the PS-InSAR (Persistent Scatterer Interferometric Synthetic Aperture Radar) technique. Specifi cally, 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 quantifi ed to estimate CO 2 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 identifi ed 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 fi eld surveys and websites (GSOCMap and Zenodo) to estimate CO 2 emission. The estimated CO 2 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 Subdistrict, Banjar Regency, and Bumi Makmur Sub-district, Tanah Laut Regency, respectively.

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Section: Data Processing Of Sar Using Ps-insar Time Seriesmentioning

confidence: 99%

“…According to Hayati et al (2022), the last data were obtained from fields and websites. The data included carbon content, bulk density, peat thickness, and organic carbon released as CO 2 .…”

Section: Data Processing Of Sar Using Ps-insar Time Seriesmentioning

confidence: 99%

Mapping carbon dioxide (CO2) emissions from peat subsidence using carbon parameters and InSAR observations in south Kalimantan, Indonesia

Sari,

Hayati,

Uzzulfa

et al. 2023

Soil Sci. Ann.

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The Use of Sentinel-1 Imagery for Degraded Peatland Analysis in South Kalimantan Area with SSM Algorithm and Wosten Model

Adi Nugraha,

Hayati,

Taufik

2024

IOP Conf. Ser.: Earth Environ. Sci.

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Indonesia has about 12% of its total land area, or about 14.9 million hectares, classified as peatland. Much of this land is distributed on the island of Kalimantan, around 6.5 million hectares, on the island of Sumatra around 7.1 million hectares, and the rest is in the Papua region. Peatlands have a vital role as a source of food and habitat for various types of living things. Ecologically, these lands function as global climate change control and flood control. However, anthropogenic human activities such as drainage, deforestation, land burning, and land conversion for agriculture have caused peatlands to be degraded. This has caused peatlands to become dry, oxidized, susceptible to fire, and prone to subsidence. As a result of creating degraded peatlands, terrestrial carbon trapped in peatlands will be released into the atmosphere, resulting in a greenhouse effect that contributes to global warming. In this research, Sentinel-1 SAR imagery data can identify degraded peatlands using the Surface Soil Moisture (SSM) algorithm and the Wosten Model Method. The SSM algorithm identified 217.55 hectares of degraded peatland in Bumi Makmur Subdistrict with an accuracy of 0.647. Meanwhile, the Wosten Model identified 254.88 hectares of degraded peatland in Bumi Makmur Subdistrict with an accuracy of 0.941.

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PARAMETERS TO ESTIMATE CO₂ EMISSION IN PEATLAND AREA BASED ON CARBON CONTENT AND SUBSIDENCE RATE FROM SAR INTERFEROMETRY

Cited by 2 publications

References 19 publications

Mapping carbon dioxide (CO<sub>2</sub>) emissions from peat subsidence using carbon parameters and InSAR observations in south Kalimantan, Indonesia

Mapping carbon dioxide (CO<sub>2</sub>) emissions from peat subsidence using carbon parameters and InSAR observations in south Kalimantan, Indonesia

The Use of Sentinel-1 Imagery for Degraded Peatland Analysis in South Kalimantan Area with SSM Algorithm and Wosten Model

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