- ORCID iD
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0000-0002-9324-5087
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Integrating citizen science and machine learning to guide urban biodiversity planning : a case study of Belgium's top 10 urban regions
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- Journal Article
- A1
- open access
Heterogeneous climate impacts on spring phenology of China's wetlands
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A novel dual-threshold assessment method for formulating land degradation neutrality priority governance strategies in Central Asia under SDG 15.3.1
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- Journal Article
- A1
- open access
Mapping urban waterbird habitats using machine learning and citizen science : a multi-scale analysis in Brussels, Belgium
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- Journal Article
- A1
- open access
Concurrent increases of impervious surface area and vegetation greenness and productivity in China's Yangtze River Delta
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- Journal Article
- A1
- open access
Improving altitudinal accuracy of Sentinel-1 InSAR DEM in arid flat terrain: a machine learning approach with UAV photogrammetry and multi-source data
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- Journal Article
- A2
- open access
Escalating socioeconomic exposure to extreme heat in China : a CMIP6-based analysis of future heatwaves across regions and scenarios
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- Journal Article
- A1
- open access
A detection-screening framework for karez (ancient underground irrigation system) using deep learning and geospatial analysis
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- Journal Article
- A1
- open access
Mapping the first global long time series wetland multitype sample dataset via the Google Earth Engine : a hybrid method of automated generation-index thresholding-spectral matching
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Integrating cultural ecosystem services and subjective perception in large urban forests : a cross-regional analysis through the lens of language