TU4.P3.2
FOREST-TYPE CHANGE DETECTION BY SYNERGIZING MULTI-SOURCE REMOTE SENSING DATA IN A DEEP LEARNING MODEL FCCDNET
Zongqi Yao, Lingting Lei, Beijing Forestry University, China; Guoqi Chai, Chinese Academy of Forestry, China; Langning Huo, Swedish University of Agricultural Sciences, Sweden; Xin Tian, Chinese Academy of Forestry, China; Xiaoli Zhang, Beijing Forestry University, China
Session:
TU4.P3: Land Cover Dynamics V Oral
Track:
Land Applications
Location:
Room P3
Presentation Time:
Tuesday, 5 August, 15:45 - 16:00
Presentation
Discussion
Resources
No resources available.
Session TU4.P3
TU4.P3.2: FOREST-TYPE CHANGE DETECTION BY SYNERGIZING MULTI-SOURCE REMOTE SENSING DATA IN A DEEP LEARNING MODEL FCCDNET
Zongqi Yao, Lingting Lei, Beijing Forestry University, China; Guoqi Chai, Chinese Academy of Forestry, China; Langning Huo, Swedish University of Agricultural Sciences, Sweden; Xin Tian, Chinese Academy of Forestry, China; Xiaoli Zhang, Beijing Forestry University, China
TU4.P3.3: FROM-GLC PLUS 3.0: IN TIME LAND COVER MAPPING WITH DENSE SURFACE OBSERVATIONS
Zhenrong Du, Dalian University of Technology, China; Le Yu, Tsinghua University, China; Xinyue Li, Xiaorui Ma, Dalian University of Technology, China; Xiyu Li, Tsinghua University, China; Jiatong Gu, China University of Geosciences, China
TU4.P3.4: Enhanced Land Cover Mapping of Australia with Digital Earth Australia Land Cover 2.0
James Miller, Emma Ai, Toktam Ebadi, Margaret Harrison, Cate Kooymans, Cedric Jorand, Norman Mueller, Geoscience Australia, Australia; Richard Lucas, Aberystwyth University, United Kingdom
TU4.P3.5: PROJECTED AND PAST LAND USE AND LAND COVER CHANGE IN THE CHURE REGION OF NEPAL 1988-2027
Maria Solis-Aulestia, Agrosol, Australia; Rohan Sadler, Pink Lake Analytics, Australia; Thayse Nery, Independent Researcher, Australia; Maksym Polyakov, Senior Researcher - Economics, Australia; Ram Pandit, Associate Professor, Australia
Resources
No resources available.