Hidden becomes clear: Optical remote sensing of vegetation reveals water table dynamics in northern peatlands
نویسندگان
چکیده
The water table and its dynamics are one of the key variables that control peatland greenhouse gas exchange. Here, we tested applicability Optical TRApezoid Model (OPTRAM) to monitor temporal fluctuations in over intact, restored (previously forestry-drained), drained (under agriculture) northern peatlands Finland, Estonia, Sweden, Canada, USA. More specifically, studied potential limitations OPTRAM using data from 2018 through 2021, across 53 sites, i.e., covering largest geographical extent used studies so far. For this, calculated based on Sentinel-2 with Google Earth Engine cloud platform. First, found choice vegetation index utilised does not significantly affect performance peatlands. Second, revealed tree cover density is a major factor controlling sensitivity Tree greater than 50% led clear decrease performance. Finally, demonstrated relationship between often disappears when WT deepens (ranging 0 −100 cm, depending site location). We identified where ceases be sensitive variations highly site-specific. Overall, our results support application intact low (below 50%) varies shallow moderately deep. Our study makes significant steps towards broader implementation optical remote sensing for monitoring subsurface moisture conditions region.
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ژورنال
عنوان ژورنال: Remote Sensing of Environment
سال: 2023
ISSN: ['0034-4257', '1879-0704']
DOI: https://doi.org/10.1016/j.rse.2023.113736