Long-Term Wetland Monitoring Using the Landsat Archive: A Review

Wetlands, which provide multiple functions and ecosystem services, have decreased and been degraded worldwide for several decades due to human activities and climate change. Managers and scientists need tools to characterize and monitor wetland areas, structure, and functions in the long term and at...

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Published inRemote sensing (Basel, Switzerland) Vol. 15; no. 3; p. 820
Main Authors Demarquet, Quentin, Rapinel, Sébastien, Dufour, Simon, Hubert-Moy, Laurence
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.02.2023
MDPI
Subjects
Archives & records
Artificial intelligence
Climate change
Cloud computing
Conservation status
Data analysis
Ecosystem services
Environmental Sciences
Forests
Landsat
Landsat satellites
Machine learning
Monitoring
Regional planning
Remote observing
Remote sensing
Reviews
Satellite imagery
Satellite observation
Satellites
Sensors
Software
Time series
Wetlands
South America
Canada
Vietnam
United States > US
Europe
China
Africa
North America
Oceania
India
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Abstract Wetlands, which provide multiple functions and ecosystem services, have decreased and been degraded worldwide for several decades due to human activities and climate change. Managers and scientists need tools to characterize and monitor wetland areas, structure, and functions in the long term and at regional and global scales and assess the effects of planning policies on their conservation status. The Landsat earth observation program has collected satellite images since 1972, which makes it the longest global earth observation record with respect to remote sensing. In this review, we describe how Landsat data have been used for long-term (≥20 years) wetland monitoring. A total of 351 articles were analyzed based on 5 topics and 22 attributes that address long-term wetland monitoring and Landsat data analysis issues. Results showed that (1) the open access Landsat archive successfully highlights changes in wetland areas, structure, and functions worldwide; (2) recent progress in artificial intelligence (AI) and machine learning opens new prospects for analyzing the Landsat archive; (3) most unexplored wetlands can be investigated using the Landsat archive; (4) new cloud-computing tools enable dense Landsat times-series to be processed over large areas. We recommend that future studies focus on changes in wetland functions using AI methods along with cloud computing. This review did not include reports and articles that do not mention the use of Landsat imagery.
AbstractList Wetlands, which provide multiple functions and ecosystem services, have decreased and been degraded worldwide for several decades due to human activities and climate change. Managers and scientists need tools to characterize and monitor wetland areas, structure, and functions in the long term and at regional and global scales and assess the effects of planning policies on their conservation status. The Landsat earth observation program has collected satellite images since 1972, which makes it the longest global earth observation record with respect to remote sensing. In this review, we describe how Landsat data have been used for long-term (≥20 years) wetland monitoring. A total of 351 articles were analyzed based on 5 topics and 22 attributes that address long-term wetland monitoring and Landsat data analysis issues. Results showed that (1) the open access Landsat archive successfully highlights changes in wetland areas, structure, and functions worldwide; (2) recent progress in artificial intelligence (AI) and machine learning opens new prospects for analyzing the Landsat archive; (3) most unexplored wetlands can be investigated using the Landsat archive; (4) new cloud-computing tools enable dense Landsat times-series to be processed over large areas. We recommend that future studies focus on changes in wetland functions using AI methods along with cloud computing. This review did not include reports and articles that do not mention the use of Landsat imagery.
Author Hubert-Moy, Laurence
Dufour, Simon
Demarquet, Quentin
Rapinel, Sébastien
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Snippet Wetlands, which provide multiple functions and ecosystem services, have decreased and been degraded worldwide for several decades due to human activities and...
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SubjectTerms Archives & records
Artificial intelligence
Climate change
Cloud computing
Conservation status
Data analysis
Ecosystem services
Environmental Sciences
Forests
Landsat
Landsat satellites
Machine learning
Monitoring
Regional planning
Remote observing
Remote sensing
Reviews
Satellite imagery
Satellite observation
Satellites
Sensors
Software
Time series
Wetlands
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Title Long-Term Wetland Monitoring Using the Landsat Archive: A Review
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Volume 15
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