Kun Ma

ORCID: 0000-0002-0049-048X
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About
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Research Areas
  • Land Use and Ecosystem Services
  • Climate Change and Health Impacts
  • Conservation, Biodiversity, and Resource Management
  • Infrastructure Resilience and Vulnerability Analysis
  • Hydropower, Displacement, Environmental Impact
  • Hydrocarbon exploration and reservoir analysis
  • Methane Hydrates and Related Phenomena
  • Environmental Changes in China
  • Disaster Management and Resilience
  • Remote Sensing and Land Use
  • Wildlife-Road Interactions and Conservation
  • Atmospheric and Environmental Gas Dynamics
  • Regional Development and Environment
  • Flood Risk Assessment and Management

Sinopec (China)
2024

Nanjing Forestry University
2019

Sun Yat-sen University
2006

Built-up land sprawl is the most intuitive manifestation and main cause of cultivated pattern change. Understanding spatiotemporal change its driving factors in impact built-up on landscape eco-security under urbanization gradient can reveal nature ecological risk caused by urban promote scientific implementation planning protection policies. Taking Yangzhou, a medium-sized city with rapid urbanization, as an example, we used multi-sources data (30 m resolution Landsat images 1998, 2008,...

10.3390/su11195513 article EN Sustainability 2019-10-05

Reducing methane emissions in the oil and gas industry is a top priority for current international community addressing climate change. Methane from energy sector exhibit strong temporal variability ground monitoring networks can provide time-continuous measurements of concentrations, enabling rapid detection sudden leaks industry. Therefore, identifying specific locations within fields to establish cost-effective reliable network an urgent significant task. In response this challenge, study...

10.3389/fenvs.2024.1394281 article EN cc-by Frontiers in Environmental Science 2024-05-16

Based on Landsat TM remote sensing images in 1990 and 2000, we analyses the temporal spatial pattern Characters of land use 1990s Guangzhou city. We also simulate scenarios land-use 2010 by integrating Markov process into cellular automata model. The results show that area constructions was rapid increasing during last ten years 20th century, at same time arable land, woodland unused areas were decreasing, orchard water rarely changed; In first 21st keep change trend 1990s, continue...

10.1117/12.713225 article EN Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 2006-10-28
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