Satellite assessment of ecological condition and associated recovery constraints in China's main ion adsorption rare earth mining landscape from 2000 to 2025

In Ganzhou, China, ion adsorption rare earth mining sites are registered only as points, which do not show where recovery lags. We assessed ecological condition with a Remote Sensing Ecological Index adapted to mining (M-RSEI), harmonized across Landsat sensors. Mean M-RSEI rose gradually from 0.598 in 2000–2005 to 0.670 in 2020–2025, and three quarters of the cells improved. Forest fraction, soil organic carbon and slope led the environmental variables, which explained 63% of the variance under spatial cross validation. Location and spatially varying responses accounted for 44% of GeoShapley attribution. Forest fraction led at every grain up to 3 km, and averaging 100 m predictions to 5 km raised R2 to 0.94 without refitting. Near sites, cells last exposed at least 16 years before 2020 remained 0.26 M-RSEI units below never exposed cells. Cells far below empirical upper envelopes are candidates for field checks and reclamation.

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Publication Details

Journal
Figshare
Published
2026-10-31
DOI
https://doi.org/10.6084/m9.figshare.34875226
Primary Topic
Environmental Changes in China
Type
article
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Satellite assessment of ecological condition and associated recovery constraints in China's main ion adsorption rare earth mining landscape from 2000 to 2025

Jiahui Zhou, Lihong Meng, Yuandong Wang, Yuyao Wang
Figshare
Environmental Changes in China
article

Satellite assessment of ecological condition and associated recovery constraints in China's main ion adsorption rare earth mining landscape from 2000 to 2025

Jiahui Zhou, Lihong Meng, Yuandong Wang, Yuyao Wang
article en

Abstract

In Ganzhou, China, ion adsorption rare earth mining sites are registered only as points, which do not show where recovery lags. We assessed ecological condition with a Remote Sensing Ecological Index adapted to mining (M-RSEI), harmonized across Landsat sensors. Mean M-RSEI rose gradually from 0.598 in 2000–2005 to 0.670 in 2020–2025, and three quarters of the cells improved. Forest fraction, soil organic carbon and slope led the environmental variables, which explained 63% of the variance under spatial cross validation. Location and spatially varying responses accounted for 44% of GeoShapley attribution. Forest fraction led at every grain up to 3 km, and averaging 100 m predictions to 5 km raised R2 to 0.94 without refitting. Near sites, cells last exposed at least 16 years before 2020 remained 0.26 M-RSEI units below never exposed cells. Cells far below empirical upper envelopes are candidates for field checks and reclamation.

Figshare
Openalex Percentile: Top 17%
Environmental Changes in China
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