Special Issue: Recent Advances in Remote Sensing with Nighttime Lights
Journal: Remote Sensing (IF: 3.036)
Scope:
This Special Issue aims to publish original manuscripts of latest innovative research in recent advances in nighttime lights remote sensing. Comprehensive reviews of this research field are also welcome. The potential topics include, but are not limited to:
State-of-the-art remote sensing technologies for capturing nighttime lights
Methods for processing nighttime lights remotely sensed data
Fusion of nighttime lights with other remote sensing data, and/or other data (e.g.,social media data, traffic data, and in situ data)
Applications of nighttime light remotely sensed data (e.g., urban and population mapping, human activities analysis, events detection, and environmental and ecological impacts analysis)
Evaluations and/or applications of new nighttime lights remotely sensed data
You may see the website for details: http://www.mdpi.com/journal/remotesensing/special_issues/nighttime_lights
Deadline of submission: 31 May 2017.
Submission: Manuscripts should be submitted online at http://www.mdpi.com by registering and logging in to this website.
Guest Editor
Dr. Bailang Yu
School of Geographic Sciences, Key Lab. of Geographic Information Science (Ministry of Education), East China Normal University, 500 Dongchuan Rd, Shanghai 200241,China
Website: http://faculty.ecnu.edu.cn/s/1689/t/19511/main.jspy
Email: blyu@geo.ecnu.edu.cn
Dr. Yuyu Zhou
Dept. of Geological & Atmospheric Sciences, Iowa State University, 3019 Agronomy Hall, Ames, IA 50011, USA
Website: http://yuyuzhou.public.iastate.edu/
Email:yuyuzhou@iastate.edu
Dr. Chunyang He
State Key Laboratory of Earth Surface Processes and Resource Ecology (ESPRE), Beijing Normal University, Beijing 100875, China
Website: http://chess.bnu.edu.cn/faculty/hcy
Email: hcy@bnu.edu.cn
Dr. Xiaofeng Li
National Oceanic and Atmospheric Administration, NCWCP E/RA3, 5830 University Research Ct. Office #3216, College Park, MD 20740-3818, USA
Website: www.star.nesdis.noaa.gov/sod/mecb/sst/xiaofengli.html
Email: xiaofeng.li@noaa.gov
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