Environmetal Data Sciences
Jan 27, 2020
We are broadly interested in using geospatial data science to solve environmental- and social- related questions.
Publications
Individual tree detection for urban forests in subtropical environments remains a great challenge due to the various types of forest …
Hui Wu,
Minghao Zhuang,
Yuanchi Chen,
Chen Meng,
Caiyan Wu,
Linke Ouyang,
Yuhan Liu,
Yi Shu,
Yuzhong Tao,
Tong Qiu,
Junxiang Li
The spatial and temporal patterns of urbanization in Shanhai and how it can guide urban planning
Caiyan Wu,
Cheng Li,
Linke Ouyang,
Huirong Xiao,
Jiong Wu,
Minghao Zhuang,
Xing Bi,
Junxiang Li,
Chunfang Wang,
Conghe Song,
Tong Qiu,
Dagmar Haase,
Amy Hahs,
Maros Finka
Vegetation change in China and its response to climatic and anthropogenic influences
Meichen Jiang,
Yuexin He,
Conghe Song,
Yuepeng Pan,
Tong Qiu,
Shufang Tian
We developed an algorithm to derive phenology metrics for double-season crops using Landsat images.
Tong Qiu,
Conghe Song,
Junxiang Li
PES in China
Qi Zhang,
Ying Wang,
Shiqi Tao,
Richard E. Bilsborrow,
Tong Qiu,
Chong Liu,
Srikanta Sannigrahi,
Qirui Li,
Conghe Song