DMSP Nighttime Lights Users Workshop ( DMSP Nighttime Lights of China )
 Chairman : Chris Elvidge (chris.elvidge@noaa.gov)
 Members :  Earth Monitoring Working Group
 Objectives :
NOAA-NGDC has produced a nineteen year time series of satellite observed nighttime lights using data collected by the DMSP Operational Linescan System (OLS). One of the countries showing the most widespread growth and changes in lighting over time is China. In this session we will examine the dynamism of the nighttime lights of China, the types of lighting detected, and the potential use of satellite observed lighting in modeling the spatial distribution of economic activity and infrastructure development.

 Target Audience : Earth observation scientists, geographers, economists.
 Expected Number of Participants :  20
 Agenda :

1. DMSP Nighttime Lights of China: Driven by Growth   Slides
   - Christopher D. Elvidge (NOAA), Kimberly Baugh (CIRES), Daniel Ziskin (CIRES), Sharolyn J. Anderson (CIRES) and Tilottama Ghosh (CIRES)

Using an eighteen year time series of global cloud free composites of DMSP nighttime lights we found that lighting in China has been on a steady upward trend from 1992 to the present, nearly tripling in overall magnitude. The expansion in lighting tracks closely with the expansions in both population and GDP. In contrast, aggregate satellite observed lighting in the USA has been largely stable over the same time period, despite ongoing growth in population and GDP. In this presentation we will review the growth in satellite observed lighting in China and discuss the possible causes for the differences found between the lighting of China and lighting of the USA.

2. Estimating Civil Construction Steel Stocks in China   Slides
   - David HSU, University of Tokyo, Japan; Prof. Yasunari MATSUNO, Dept. of Materials Engineering, University of Tokyo, Japan.

3. Satellite Mapping of Constructed Surfaces in China for the Year 2010   Slides
   - Prof. Paul Sutton, Department of Geography, University of Denver, USA (psutton@du.edu); Sharolyn Anderson, CIRES University of Colorado USA; Kimberly E. Baugh, CIRES University of Colorado USA; Daniel Ziskin CIRES University of Colorado USA; Tilottama Ghosh, CIRES University of Colorado USA; Christopher D. Elvidge, NOAA National Geophysical Data Center USA.

In a previous study we estimated China to have more constructed surface area (roads, buildings, etc.)than any other country (~87,00 km2). Here we use a google earth based web application to validate our estimates of anthropogenic impervious surface (constructed area density) in China using actual imagery of China. 'Paving the Planet' is a universal phenomenon - akin to clothing - and represents one of the primary anthropogenic modifications of the environment. Expansion in population numbers and economies combined with the increased use of automobiles has led to the sprawl of development and a wide proliferation of constructed impervious surfaces. Constructed impervious surfaces are both hydrological and ecological disturbances. However, constructed surfaces are different from most other types of disturbances in that recovery is arrested through the use of materials that are resistant to decay and are actively maintained. The same characteristics that make impervious surfaces ideal for use in construction produce a series of effects on the environment. We present a new map of the density of constructed surface in China derived from DMSP nighttime lights and LandScan population count data.

4. Relationships between Nighttime Imagery and Population Density for Hong Kong   Slides
   - Qing Liu and Paul C. Sutton(University of Denver), Chris Elvidge (NOAA)

Nighttime imagery as a unique remote sensing data source offers capabilities to represent human activities on the Earth's surface through the observation of artificial lighting at night. Previous analysis of nighttime light image data products derived from the Defense Meteorological Satellite Program-Operational Linescan System(DMSP-OLS) have revealed striking correlation between city-lights and human population density. Nighttime light photographs taken by astronauts aboard the International Space Station(ISS) may have the potential capable of offering more sophisticated representation of population density with finer spatial and spectral resolution than the DMSP-OLS imagery. The objective of this study is to analyze and map the correlation between the city lights of Hong Kong, China, and the population density, through comparing two types of nighttime imagery (DMSP-OLS satellite image and ISS photograph) to population density derived from the LandScan population dataset.

 Remarks : VTC capability.

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