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An enhanced ecological network for spatial planning considering spatial conflicts and structural resilience 认领 引用
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作者 Haowei Mu Shanchuan Guo +6 位作者 Xingang Zhang Bo Yuan Xiaoquan Pan Zilong Xia Xin Pan Shangwu Zhang Peijun Du 《Geography and Sustainability》 CSCD 2026年第2期116-128,共13页
The digital transformation of territorial spatial planning has underscored the urgent need to integrate ecological network into spatial planning practices.In response,we developed two innovative new tools,the Ecologic... The digital transformation of territorial spatial planning has underscored the urgent need to integrate ecological network into spatial planning practices.In response,we developed two innovative new tools,the Ecological Linkage Tool(ELT)and the Relative Spatial Conflict Index(RSCI),to enhance ecological networks applications by addressing spatial conflicts and structural resilience.The ELT identified ecological corridors within and outside irregular ecological sources,activation points,and stepping stones in parallel,and then constructed an intact ecological network.By integrating the RSCI and complex network metrics,the spatial conflicts and structural resilience were evaluated.The framework was implemented in the Hohhot-Baotou-Ordos-Yulin(HBOY)urban agglomeration,identifying a total of 5,814 corridors,of which 67%were classified as intra-patch and 33%as inter-patch.The number and distribution of these corridors were determined by the size and shape of the ecological sources,and the connectivity of intra-patch corridors was 34%higher than inter-patch corridors.According to the RSCI,60%of the corridors experienced spatial conflicts,with 21%involving production spaces or composite production-related conflicts.Moreover,Yulin served as a key hub in the ecological network,and Baotou had the highest network efficiency.Compound conflict corridors(involving production,living,and open spaces)had a greater impact on overall ecological network efficiency compared to those with single or dual conflicts.Meanwhile,the failure of 40%of corridors without spatial conflicts would directly result in a 96.9%decline in network efficiency,highlighting their critical role in maintaining network functionality.This study provides an enhanced ecological network application solution for the China Spatial Planning Observation Network(CSPON),supporting spatial planning practices. 展开更多
关键词 Ecological network Ecological corridor Spatial conflict Structural resilience Spatial planning
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A labor-free index-guided semantic segmentation approach for urban vegetation mapping from high-resolution true color imagery 认领 引用
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作者 Peng Zhang Cong Lin +3 位作者 Shanchuan Guo Wei Zhang Hong Fang Peijun Du 《International Journal of Digital Earth》 SCIE EI 2023年第1期1640-1660,共21页
Accurate and timely information on urban vegetation(UV)can be used as an important indicator to estimate the health of cities.Due to the low cost of RGB cameras,true color imagery(TCI)has been widely used for high spa... Accurate and timely information on urban vegetation(UV)can be used as an important indicator to estimate the health of cities.Due to the low cost of RGB cameras,true color imagery(TCI)has been widely used for high spatial resolution UV mapping.However,the current index-based and classifier-based UV mapping approaches face problems of the poor ability to accurately distinguish UV and the high reliance on massive annotated samples,respectively.To address this issue,an index-guided semantic segmentation(IGSS)framework is proposed in this paper.Firstly,a novel cross-scale vegetation index(CSVI)is calculated by the combination of TCI and Sentinel-2 images,and the index value can be used to provide an initial UV map.Secondly,reliable UV and non-UV samples are automatically generated for training the semantic segmentation model,and then the refined UV map can be produced.The experimental results show that the proposed CSVI outperformed the existingfive RGB vegetation indices in highlighting UV cover and suppressing complex backgrounds,and the proposed IGSS workflow achieved satisfactory results with an OA of 87.72%∼88.16%and an F1 score of 87.73%∼88.37%,which is comparable with the fully-supervised method. 展开更多
关键词 Urban vegetation mapping Sustainable Development Goals(SDGs) cross-scale vegetation index(CSVI) semantic segmentation high-resolution true color imagery(TCI)
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