Booklets

14 MAY 2019 (TUE) 15:00-16:00

Updated: Aug 7, 2019

Remote sensing of night lights

Map Library, Room 10.10, 10/F, The Jockey Club Tower, Centennial Campus, HKU


Professor Noam Levin The Remote Sensing Lab (Head), Department of Geography, The Hebrew University of Jerusalem, Israel

About the Speaker:

Prof. Noam Levin did his PhD at Tel Aviv University, and after two post-doctoral positions at Ben Gurion University of the Negev and the University of Queensland, established the remote sensing lab at the Hebrew University of Jerusalem in 2008. Noam studies geographical and environmental patterns and processes of land cover changes in the face of human and climate induced changes using remote sensing and Geographic Information Systems (GIS) tools. Noam’s current research focuses on remote sensing of night lights, conservation planning over spatial scales from local to global, landscape ecology, historical geography and wildfires. Noam is a Full Professor at the Department of Geography at The Hebrew University of Jerusalem, an Honorary Associate Professor at the University of Queensland and was an international PI at the ARC Centre of Excellence for Environmental Decisions (CEED).


Abstract:

Remote sensing of night light emissions in the visible band offers a unique opportunity to directly observe human activity from space, thus extending the use of remote sensing to the social sciences. This has allowed a host of applications including mapping urban areas, estimating population and GDP, monitoring disasters and conflicts. More recently, remotely sensed night lights data have found use in understanding the environmental impacts of light emissions (light pollution), including its impacts on human health. In my talk, I will outline the historical development of night-time optical sensors up to the current state of the art sensors, highlight various applications of night light data and discuss the special challenges associated with remote sensing of night lights.


Co-organized by:

Department of Geography, HKU


Registration:

Free admission. Places are limited & prior registration is encouraged.

(E) geog.event@hku.hk



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