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Updated: Jan 21, 2026

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
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Mapping potential, existing and efficient wetlands using free remote sensing data.

S Rapinel1, E Fabre1, S Dufour1

  • 1LETG UMR 6554 CNRS/Université de Rennes, Place du Recteur Henri Le Moal, 35000 Rennes, France.

Journal of Environmental Management
|July 24, 2019
PubMed
Summary
This summary is machine-generated.

A new remote sensing method effectively maps potential, existing, and efficient wetlands. This approach aids in prioritizing wetland restoration and understanding environmental impacts on these vital ecosystems.

Keywords:
LidarMODISNatural vegetationsRandom forestSentinelWetland functions

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Area of Science:

  • Environmental Science
  • Remote Sensing
  • Ecology

Background:

  • Wetlands face threats from human activities and climate change, making their monitoring difficult due to dynamic patterns.
  • High-resolution satellite time-series offer a promising solution for mapping and monitoring wetlands.

Purpose of the Study:

  • To develop an operational method for managing valley bottom wetlands using free remote sensing data.
  • Adapt the Potential, Existing, Efficient Wetlands (PEEW) approach for remote sensing applications.

Main Methods:

  • Delineated potential wetlands using LiDAR-derived digital terrain models.
  • Mapped existing wetlands from Sentinel-1/2 time-series land cover data.
  • Identified efficient wetlands using MODIS time-series functional indicators (primary production, phenology, carbon flux).

Main Results:

  • Potential wetlands were mapped with 82% accuracy, covering 21% of the watershed.
  • A significant 44% loss of existing wetlands was observed.
  • Small headwater wetlands constitute 56% of the total wetland area.

Conclusions:

  • The developed method provides a novel, cost-effective approach for wetland management using free remote sensing data.
  • It enables identification of priority areas for restoration and enhances understanding of management and climate influences on wetland functions.