Hang Xu

ORCID: 0009-0006-1639-0666
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About
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Research Areas
  • Remote-Sensing Image Classification
  • Land Use and Ecosystem Services
  • Remote Sensing and Land Use
  • Geochemistry and Geologic Mapping
  • Wildlife Ecology and Conservation
  • Speech and dialogue systems
  • Conservation, Biodiversity, and Resource Management
  • Groundwater and Isotope Geochemistry
  • Remote Sensing in Agriculture
  • Groundwater and Watershed Analysis
  • Karst Systems and Hydrogeology
  • Rangeland Management and Livestock Ecology
  • Economic and Environmental Valuation
  • Rural development and sustainability

China University of Geosciences
2006-2025

ABSTRACT The decline in urban–rural population density (URPD) has consistently characterized China's rapid urbanization. Analyzing the spatiotemporal trends URPD and their effects on habitats within context of ecological civilization is crucial. However, quantitative studies are lacking, impact natural remains unclear. Therefore, using census land‐use data, we analyzed habitat China between 2000 2020. results show that urban (UPD), rural (RPD), quality have decreased by 11.7%, 40.2%, 2.1%,...

10.1002/ldr.5473 article EN Land Degradation and Development 2025-01-22

The effective identification of reclaimed vegetation species is important for the subsequent management ecological restoration projects in mining areas. Hyperspectral remote sensing has been used identifying species. However, few studies have focused on mine-reclaimed vegetation. Even if there are this field, methods by researches mainly traditional discriminant analyses. environmental conditions areas lead to significant intraclass spectral differences vegetation, and uncertainty using...

10.3390/rs16132372 article EN cc-by Remote Sensing 2024-06-28

GPT-4o, an omni-modal model that enables vocal conversations with diverse emotions and tones, marks a milestone for foundation models. However, empowering Large Language Models to perceive generate images, texts, speeches end-to-end publicly available data remains challenging in the open-source community. Existing vision-language models rely on external tools speech processing, while speech-language still suffer from limited or even without vision-understanding abilities. To address this...

10.48550/arxiv.2409.18042 preprint EN arXiv (Cornell University) 2024-09-26
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