Analysis of Spatiotemporal Changes in Land Cover of Wind Farms within County Areas

Abstract. The rapid expansion of wind energy has raised growing concerns about its impacts on land cover and the environment. This study focuses on county-level areas with high-density wind farm distribution in the Xing’an League, Inner Mongolia, China. Using high-resolution satellite imagery from 2016 to 2024, we visually interpreted land cover within and around wind farms and analyzed their spatiotemporal dynamics. The results show that: (1) Land cover change in the study area was primarily driven by wind farm expansion, which increased by 130.87 km² (+260.35%) from 2016 to 2024, exhibiting the highest dynamic degree among all land cover categories (LK = +32.54%/yr). (2) Grassland was the most affected land cover type, with 78.74 km² converted to wind farm land, accounting for 59.66% of newly established wind farm area, followed by cultivated land (20.06%) and forest land (18.33%). (3) With wind power expansion, the land cover composition within wind farms shifted from a cultivated land–grassland balance toward grassland dominance. (4) Areas temporarily disturbed by wind farm construction tended to recover progressively, with cultivated land recovering faster than grassland. These findings provide an important basis for assessing the environmental impacts of wind farm development in Inner Mongolia.

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Publication Details

Journal
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Published
2026-07-30
DOI
https://doi.org/10.5194/isprs-archives-xlix-b3-2026-625-2026
Primary Topic
Wind Energy Research and Development
Type
article
Field-Weighted Citation Impact
0.00

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article

Analysis of Spatiotemporal Changes in Land Cover of Wind Farms within County Areas

Yunjia Zou, Hailun Dai, Tao Zhang, Ting Liu et al.
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Wind Energy Research and Development
article

Analysis of Spatiotemporal Changes in Land Cover of Wind Farms within County Areas

Yunjia Zou, Hailun Dai, Tao Zhang, Ting Liu, Guanghui Wang, Wei Zhang
article en

Abstract

Abstract. The rapid expansion of wind energy has raised growing concerns about its impacts on land cover and the environment. This study focuses on county-level areas with high-density wind farm distribution in the Xing’an League, Inner Mongolia, China. Using high-resolution satellite imagery from 2016 to 2024, we visually interpreted land cover within and around wind farms and analyzed their spatiotemporal dynamics. The results show that: (1) Land cover change in the study area was primarily driven by wind farm expansion, which increased by 130.87 km² (+260.35%) from 2016 to 2024, exhibiting the highest dynamic degree among all land cover categories (LK = +32.54%/yr). (2) Grassland was the most affected land cover type, with 78.74 km² converted to wind farm land, accounting for 59.66% of newly established wind farm area, followed by cultivated land (20.06%) and forest land (18.33%). (3) With wind power expansion, the land cover composition within wind farms shifted from a cultivated land–grassland balance toward grassland dominance. (4) Areas temporarily disturbed by wind farm construction tended to recover progressively, with cultivated land recovering faster than grassland. These findings provide an important basis for assessing the environmental impacts of wind farm development in Inner Mongolia.

˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciencesVol. XLIX-B3-2026
National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 5%
Wind Energy Research and Development
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