SCI论文

胡云锋研究组2018年在土地利用/覆被变化及其生态效应领域取得进展

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  土地利用/覆被变化是表征全球陆地生态系统变化的主要形式之一,也是表征人类活动响应全球变化、开展美丽城市和美丽乡村建设的重要形式之一。胡云锋研究组主要应用卫星遥感和互联网大数据技术,在国家、省域和城市等多个尺度开展了土地利用/覆被变化检测及其效应研究。2018年课题组在ISPRS Journal of Photogrammetry and Remote Sensing、Remote Sensing、Land Degradation & Development、Science of the Total Environment、Ecological Indicators等发表多篇SCI。这些论文主要解决如下问题: 

    

  1、运用云计算和深度学习技术,发展高效可靠的LUC制图和LUC变化检测算法,并在国家尺度和区域尺度上开展应用(论文1,2)。 

  2、在重要自然地理区域,解析LUC变化时空过程及其驱动机制,特别是针对林草地变化开展深入分析,为生态保护和区域可持续发展提供政策支撑(论文3、4、5)。 

  3、在北京等典型都市地区,解析LUC组分构成及空间分布格局是如何影响城市热岛特征,由此为都市区绿地规划和美丽中国建设提供建议(论文6、7)。 

  4、针对人类LUC活动所造成的石漠化,运用大数据手段解析典型生态退化研究热点的时空分布和演变,阐明多源数据结果之间的空间差异(论文8)。 

  上述研究得到了科技部重点研发计划(2016YFC0503701,2016YFB0501502),中科院战略先导计划(XDA19040301,XDA20010202)以及国防科工局高分专项(00-Y30B14-9001-14/16)等多个项目支持。 

    

  论文具体如下: 

  (1)HU YF*, DONG Y, BATUNACUN. An automatic approach for land-change detection and land updates based on integrated NDVI timing analysis and the CVAPS method with GEE support[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2018, 146(12): 347-359. 

https://www.sciencedirect.com/science/article/pii/S0924271618302867 

  (2)Hu, Y*.; Zhang, Q.; Zhang, Y.; Yan, H. A deep convolution neural network method for land cover mapping: A case study of qinhuangdao, china. Remote Sensing 2018, 10(12), 2053. 

https://www.mdpi.com/2072-4292/10/12/2053  

  (3)BATUNACUN, NENDEL C, HU YF, LAKES T. Land-use change and land degradation on the Mongolian Plateau from 1975 to 2015-A case study from Xilingol, China[J]. Land Degradation & Development, 2018, 29(6): 1595-1606. 

https://onlinelibrary.wiley.com/doi/full/10.1002/ldr.2948 

  (4)HU YF*, BATUNACUN. An Analysis of Land-Use and Land-Cover Change in the Zhujiang-Xijiang Economic Belt, China, from 1990 to 2017[J]. Applied Sciences-Basel, 2018, 8(9).1524 

https://doi.org/10.3390/app8091524 

  (5)HU YF*, BATUNACUN. An Analysis of Land-Use Change and Grassland Degradation from a Policy Perspective in Inner Mongolia, China, 1990–2015[J]. Sustainability, 2018, 10(11): 4048. 

https://www.mdpi.com/2071-1050/10/11/4048  

  (6)DAI ZX, GULDMANN JM, HU YF*. Spatial regression models of park and land-use impacts on the urban heat island in central Beijing[J]. Science of the Total Environment, 2018, 626(6): 1136-1147. 

https://www.sciencedirect.com/science/article/pii/S004896971830202X 

  (7)DAI Z, GULDMANN JM, HU YF*. Thermal impacts of greenery, water, and impervious structures in Beijing’s Olympic area: A spatial regression approach[J]. Ecological Indicators, 2019, 97(2): 77-88. 

https://www.sciencedirect.com/science/article/pii/S1470160X18307386 

  (8)HU YF*, HAN YQ, ZHANG YZ. Information Extraction and Spatial Distribution of Research Hot Regions on Rocky Desertification in China[J]. Applied Sciences, 2018, 8(11): 2075. 

https://www.mdpi.com/2076-3417/8/11/2075