An Overview of Remote Sensing Data Applications in Peatland Research Based on Works from the Period 2010–2021
نویسندگان
چکیده
In the 21st century, remote sensing (RS) has become increasingly employed in many environmental studies. This paper constitutes an overview of works utilising RS methods studies on peatlands and investigates publications from period 2010–2021. Based fifty-nine case different climatic zones (from subarctic to subtropical), we can indicate increase use peatland research during last decade, which is likely a result greater availability new data sets (Sentinel 1 2; Landsat 8; SPOT 6 7) paired with rapid development open-source software (ESA SNAP; QGIS SAGA GIS). studied works, satellite analyses typically encompassed following elements: land classification/identification peatlands, changes water conditions monitoring state, vegetation mapping, Gross Primary Productivity (GPP), estimation carbon resources peatlands. The most frequently methods, other hand, included: indices, soil moisture supervised classification machine learning. Remote combined field deemed helpful for multi-proxy studies, they may offer perspectives at regional level.
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ژورنال
عنوان ژورنال: Land
سال: 2021
ISSN: ['2073-445X']
DOI: https://doi.org/10.3390/land11010024