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Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
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Detecting ecological spatial-temporal changes by Remote Sensing Ecological Index with local adaptability.

Dongyu Zhu1, Tao Chen1, Ziwei Wang1

  • 1Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, 430074, PR China.

Journal of Environmental Management
|September 6, 2021
PubMed
Summary

The Wuhan Urban Development Zone

Keywords:
Ecological environmentLocal analysisLocal-adaptationRemote sense ecological indexUrban development areaWuhan

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Area of Science:

  • Environmental Science
  • Remote Sensing
  • Urban Ecology

Background:

  • Ecological environmental assessment is crucial for eco-environment protection systems.
  • Improved ecological evaluation systems offer better data for monitoring and governance.
  • The remote sensing ecological index (RSEI) was first proposed in 2013.

Purpose of the Study:

  • To assess the eco-environment of the Wuhan Urban Development Zone using Landsat 8 imagery from 2013-2019.
  • To apply a new index, the remote sensing ecological index with local adaptability (RSEI_LA), an improvement over RSEI.
  • To analyze the correlation between land use and ecological environment changes.

Main Methods:

  • Utilized Landsat 8 OLI/TIRS images from 2013, 2015, 2017, and 2019.
  • Applied the remote sensing ecological index with local adaptability (RSEI_LA) for eco-environment assessment.
  • Analyzed spatial and temporal variations in the ecological environment and their relationship with land use.

Main Results:

  • The overall urban ecological environment in Wuhan showed a downward trend from 2013 to 2019.
  • Ecological degradation was primarily observed in outer suburbs due to urban expansion and land-use change.
  • Central urban areas showed ecological improvement (green recovery) linked to urban greening projects.
  • Land use significantly correlated with ecological status, with bare soil/sand showing the most deterioration, followed by buildings, cropland, and forests.

Conclusions:

  • The RSEI_LA index effectively captures local adaptability in ecological assessments.
  • Urban expansion drives ecological degradation in suburban areas, while greening projects improve central urban environments.
  • Land-use type is a critical factor influencing the degree of ecological deterioration.