Name: Remote Sensing of Night-Time Light (en Inglés)
Price: 141839.00 COP
Availability: InStock
Author: Elvidge Christopher,Li Xi,Zhou Yuyu
ISBN: 9780367769888

portada Remote Sensing of Night-Time Light (en Inglés)

Formato

Libro Físico

Editorial

Routledge

Autor

Elvidge Christopher,Li Xi,Zhou Yuyu

Idioma

Inglés

Encuadernación

Tapa Blanda

ISBN13

9780367769888

Remote Sensing of Night-Time Light (en Inglés)

Elvidge Christopher,Li Xi,Zhou Yuyu (Autor) · Routledge · Tapa Blanda

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Reseña del libro "Remote Sensing of Night-Time Light (en Inglés)"

Satellite images acquired at night provide a visually arresting perspective of the Earth and the human activities that light up the otherwise mostly dark Earth. These night-time light satellite images can be compiled into a geospatial time series that represent an invaluable source of information for both the natural and social sciences. Night-time light remote sensing has been shown to be particularly useful for a range of natural science and social science applications, including studies relating to urban development, demography, sociology, fishing activity, light pollution and the consequences of civil war. Key sensors for these time-series include the Defense Meteorological Satellite Program's Operational Linescan System (DMSP/OLS) and the Suomi National Polar-orbiting Partnership Satellite's Visible Infrared Imaging Radiometer Suite Day/Night Band (Suomi NPP/VIIRS DNB). An increasing number of alternative sources are also available, including high spatial resolution and multispectral sensors.This book captures key methodological issues associated with pre-processing night-time light data, documents state of the art analysis methods, and explores a wide range of applications. Major sections focus on NPP/VIIRS DNB processing; inter-calibration between NPP/VIIRS and DMPS/OLS; applications associated with socio-economic activities, applications in monitoring urbanization; and fishing activity monitoring. The chapters in this book were originally published as a special issue of the International Journal of Remote Sensing.