An Overview of Remote Sensing Data Applications in Peatland Research Based on Works from the Period 2010–2021
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 in studies on peatlands and investigates publications from the period 2010–2021. Based on fifty-nine case studies from different c...
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ftmdpi:oai:mdpi.com:/2073-445X/11/1/24/ 2023-08-20T04:10:03+02:00 An Overview of Remote Sensing Data Applications in Peatland Research Based on Works from the Period 2010–2021 Sebastian Czapiewski Danuta Szumińska agris 2021-12-24 application/pdf https://doi.org/10.3390/land11010024 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/land11010024 https://creativecommons.org/licenses/by/4.0/ Land; Volume 11; Issue 1; Pages: 24 Landsat open-source GIS software peatlands remote sensing Sentinel SPOT Text 2021 ftmdpi https://doi.org/10.3390/land11010024 2023-08-01T03:39:04Z 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 in studies on peatlands and investigates publications from the period 2010–2021. Based on fifty-nine case studies from different climatic zones (from subarctic to subtropical), we can indicate an increase in the use of RS methods in peatland research during the last decade, which is likely a result of the greater availability of new remote sensing data sets (Sentinel 1 and 2; Landsat 8; SPOT 6 and 7) paired with the rapid development of open-source software (ESA SNAP; QGIS and SAGA GIS). In the studied works, satellite data analyses typically encompassed the following elements: land classification/identification of peatlands, changes in water conditions in peatlands, monitoring of peatland state, peatland vegetation mapping, Gross Primary Productivity (GPP), and the estimation of carbon resources in peatlands. The most frequently employed research methods, on the other hand, included: vegetation indices, soil moisture indices, water indices, supervised classification and machine learning. Remote sensing data combined with field research is deemed helpful for peatland monitoring and multi-proxy studies, and they may offer new perspectives on research at a regional level. Text Subarctic MDPI Open Access Publishing Land 11 1 24 |
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MDPI Open Access Publishing |
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English |
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Landsat open-source GIS software peatlands remote sensing Sentinel SPOT |
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Landsat open-source GIS software peatlands remote sensing Sentinel SPOT Sebastian Czapiewski Danuta Szumińska An Overview of Remote Sensing Data Applications in Peatland Research Based on Works from the Period 2010–2021 |
topic_facet |
Landsat open-source GIS software peatlands remote sensing Sentinel SPOT |
description |
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 in studies on peatlands and investigates publications from the period 2010–2021. Based on fifty-nine case studies from different climatic zones (from subarctic to subtropical), we can indicate an increase in the use of RS methods in peatland research during the last decade, which is likely a result of the greater availability of new remote sensing data sets (Sentinel 1 and 2; Landsat 8; SPOT 6 and 7) paired with the rapid development of open-source software (ESA SNAP; QGIS and SAGA GIS). In the studied works, satellite data analyses typically encompassed the following elements: land classification/identification of peatlands, changes in water conditions in peatlands, monitoring of peatland state, peatland vegetation mapping, Gross Primary Productivity (GPP), and the estimation of carbon resources in peatlands. The most frequently employed research methods, on the other hand, included: vegetation indices, soil moisture indices, water indices, supervised classification and machine learning. Remote sensing data combined with field research is deemed helpful for peatland monitoring and multi-proxy studies, and they may offer new perspectives on research at a regional level. |
format |
Text |
author |
Sebastian Czapiewski Danuta Szumińska |
author_facet |
Sebastian Czapiewski Danuta Szumińska |
author_sort |
Sebastian Czapiewski |
title |
An Overview of Remote Sensing Data Applications in Peatland Research Based on Works from the Period 2010–2021 |
title_short |
An Overview of Remote Sensing Data Applications in Peatland Research Based on Works from the Period 2010–2021 |
title_full |
An Overview of Remote Sensing Data Applications in Peatland Research Based on Works from the Period 2010–2021 |
title_fullStr |
An Overview of Remote Sensing Data Applications in Peatland Research Based on Works from the Period 2010–2021 |
title_full_unstemmed |
An Overview of Remote Sensing Data Applications in Peatland Research Based on Works from the Period 2010–2021 |
title_sort |
overview of remote sensing data applications in peatland research based on works from the period 2010–2021 |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2021 |
url |
https://doi.org/10.3390/land11010024 |
op_coverage |
agris |
genre |
Subarctic |
genre_facet |
Subarctic |
op_source |
Land; Volume 11; Issue 1; Pages: 24 |
op_relation |
https://dx.doi.org/10.3390/land11010024 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/land11010024 |
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