A remote-sensing-based framework to detect the rate of peat subsidence and associated CO2 emissions: A case study of the Biebrza Valley, Poland

• DOI: 10.5194/egusphere-egu24-6112
• Publication Date: 2024-03-08T15:42:09Z
• Authors: Pouya Ghezelayagh; Ryszard Oleszczuk; Marta Stachowicz; Mohammad Reza Eini; Piotr Banaszuk; Andrzej Kamocki; Mateusz Grygoruk

Peatlands are vital ecosystems that provide essential ecological services, especially in carbon storage. Nevertheless, the decomposition of surface peat and subsequent emission threaten to accelerate pace climate change. This study presents a framework designed facilitate estimation subsidence relevant CO2 emissions through exclusive utilization remote sensing techniques. In this study, peatland Biebrza Valley, Poland, was estimated by using Alaska Satellite Facility Interferometry Synthetic Aperture Radar on-demand cloud computing via Small Baseline Set technique seasonal-annual search approach covering period from April 2015-April 2022. The amount associated rates can be analyzing InSAR data selected period. results reveal an annual rate 2.1 cm, verified field surveys. An R2 value 0.91, RMSE 0.23 cm indicate reliability estimating subsidence. These findings unveil troubling trend National Park, with almost 88 MCM its peatlands lost during seven years 2015-2022. Two different approaches were employed estimate subsidence, each three scenarios. Therefore, dioxide loss, ranging 3.24 5.36 tons per hectare sensing-based approach, compared broader range 20.3 33.9 tons/ha/yr obtained common approach. It means that, based on first most optimistic scenario, park is minimum 1.35 million period, potentially reaching as high 2.26 worst-case scenario. contrast, indicates wider emissions, 8.5 14.2 over these years.