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Nighttime Lights Revisited : The Use of Nighttime Lights Data as a Proxy for Economic Variables.
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Year: 2015 Publisher: Washington, D.C. : The World Bank,

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Abstract

The growing availability of free or inexpensive satellite imagery has inspired many researchers to investigate the use of earth observation data for monitoring economic activity around the world. One of the most popular earth observation data sets is the so-called nighttime lights from the Defense Meteorological Satellite Program. Researchers have found positive correlations between nighttime lights and several economic variables. These correlations are based on data measured in levels, with a cross-section of observations within a single time period across countries or other geographic units. The findings suggest that nighttime lights could be used as a proxy for some economic variables, especially in areas or times where data are weak or unavailable. Yet, logic suggests that nighttime lights cannot serve as a good proxy for monitoring the within-in country growth rates all of these variables. Examples examined this paper include constant price gross domestic product, non-agricultural gross domestic product, manufacturing value added, and capital stocks, as well as electricity consumption, total population, and urban population. The study finds that the Defense Meteorological Satellite Program data are quite noisy and therefore the resulting growth elasticities of Defense Meteorological Satellite Program nighttime lights with respect to most of these socioeconomic variables are low, unstable over time, and generate little explanatory power. The one exception for which Defense Meteorological Satellite Program nighttime lights could serve as a proxy is electricity consumption, measured in 10-year intervals. It is hoped that improved data from the recently launched Suomi National Polar-Orbiting Partnership satellite will help expand or improve these outcomes. Testing this should be an important next step.


Book
Nighttime Lights Revisited : The Use of Nighttime Lights Data as a Proxy for Economic Variables.
Authors: ---
Year: 2015 Publisher: Washington, D.C. : The World Bank,

Loading...
Export citation

Choose an application

Bookmark

Abstract

The growing availability of free or inexpensive satellite imagery has inspired many researchers to investigate the use of earth observation data for monitoring economic activity around the world. One of the most popular earth observation data sets is the so-called nighttime lights from the Defense Meteorological Satellite Program. Researchers have found positive correlations between nighttime lights and several economic variables. These correlations are based on data measured in levels, with a cross-section of observations within a single time period across countries or other geographic units. The findings suggest that nighttime lights could be used as a proxy for some economic variables, especially in areas or times where data are weak or unavailable. Yet, logic suggests that nighttime lights cannot serve as a good proxy for monitoring the within-in country growth rates all of these variables. Examples examined this paper include constant price gross domestic product, non-agricultural gross domestic product, manufacturing value added, and capital stocks, as well as electricity consumption, total population, and urban population. The study finds that the Defense Meteorological Satellite Program data are quite noisy and therefore the resulting growth elasticities of Defense Meteorological Satellite Program nighttime lights with respect to most of these socioeconomic variables are low, unstable over time, and generate little explanatory power. The one exception for which Defense Meteorological Satellite Program nighttime lights could serve as a proxy is electricity consumption, measured in 10-year intervals. It is hoped that improved data from the recently launched Suomi National Polar-Orbiting Partnership satellite will help expand or improve these outcomes. Testing this should be an important next step.


Book
Geo-Informatics in Resource Management
Author:
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

The management of natural resources can be approached using different data sources and techniques, from images registered by sensors of onboard satellites to UAV platforms, using remote sensing techniques and geographic information systems, among others. The variability of problems and projects to be analyzed, studied, and solved is very wide. This book presents a collection of different experiences, ranging from the location of areas of interest to the simulation of future scenarios of a territory at local and regional scales, considering spatial resolutions ranging from centimeters to hundreds of meters. The common objective of all the works compiled in this book is to support decision-making in environmental management.

Keywords

Research & information: general --- secondary succession monitoring --- Natura 2000 threats --- tree detection --- archival photographs --- spectro-textural classification --- granulometric analysis --- GLCM --- alpine grassland --- fractional vegetation cover --- ground survey --- precision evaluation --- multi-scale LAI product validation --- PROSAIL model --- EBK --- crop growth period --- adaptive K-means algorithm --- heavy industry heat sources --- NPP-VIIRS --- active fire data --- night-time light data --- spatial autocorrelation --- spatial pattern --- spatial relationship --- natural wetlands changes --- associated influencing factors --- mainland China --- farmland abandonment mapping --- textural segmentation --- aerial imagery --- land use --- Poznań --- agent based modeling --- disaster management --- resource allocation --- high severity level --- first come first serve --- geographical information system --- bearing capacity --- analytic hierarchy process --- geographical survey of national conditions --- hotspot analysis --- topsis algorithm --- automatic identification system data --- 21st Century Maritime Silk Road region --- oil flow analysis --- maritime oil chokepoint --- Middle East Respiratory Syndrome --- seismic parameters --- GIS --- seismicity --- spatial analysis --- b-value --- earthquake catalog --- future scenarios --- prelude --- dynamic of land use --- Spatial Decision Support System, CORINE Land Cover --- remote sensing --- geographic information system


Book
Remote Sensing of Natural Hazards
Authors: ---
Year: 2022 Publisher: Basel MDPI Books

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Each year, natural hazards such as earthquakes, cyclones, flooding, landslides, wildfires, avalanches, volcanic eruption, extreme temperatures, storm surges, drought, etc., result in widespread loss of life, livelihood, and critical infrastructure globally. With the unprecedented growth of the human population, largescale development activities, and changes to the natural environment, the frequency and intensity of extreme natural events and consequent impacts are expected to increase in the future.Technological interventions provide essential provisions for the prevention and mitigation of natural hazards. The data obtained through remote sensing systems with varied spatial, spectral, and temporal resolutions particularly provide prospects for furthering knowledge on spatiotemporal patterns and forecasting of natural hazards. The collection of data using earth observation systems has been valuable for alleviating the adverse effects of natural hazards, especially with their near real-time capabilities for tracking extreme natural events. Remote sensing systems from different platforms also serve as an important decision-support tool for devising response strategies, coordinating rescue operations, and making damage and loss estimations.With these in mind, this book seeks original contributions to the advanced applications of remote sensing and geographic information systems (GIS) techniques in understanding various dimensions of natural hazards through new theory, data products, and robust approaches.


Book
Remote Sensing of Natural Hazards
Authors: ---
Year: 2022 Publisher: Basel MDPI Books

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Abstract

Each year, natural hazards such as earthquakes, cyclones, flooding, landslides, wildfires, avalanches, volcanic eruption, extreme temperatures, storm surges, drought, etc., result in widespread loss of life, livelihood, and critical infrastructure globally. With the unprecedented growth of the human population, largescale development activities, and changes to the natural environment, the frequency and intensity of extreme natural events and consequent impacts are expected to increase in the future.Technological interventions provide essential provisions for the prevention and mitigation of natural hazards. The data obtained through remote sensing systems with varied spatial, spectral, and temporal resolutions particularly provide prospects for furthering knowledge on spatiotemporal patterns and forecasting of natural hazards. The collection of data using earth observation systems has been valuable for alleviating the adverse effects of natural hazards, especially with their near real-time capabilities for tracking extreme natural events. Remote sensing systems from different platforms also serve as an important decision-support tool for devising response strategies, coordinating rescue operations, and making damage and loss estimations.With these in mind, this book seeks original contributions to the advanced applications of remote sensing and geographic information systems (GIS) techniques in understanding various dimensions of natural hazards through new theory, data products, and robust approaches.


Book
Geo-Informatics in Resource Management
Author:
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Bookmark

Abstract

The management of natural resources can be approached using different data sources and techniques, from images registered by sensors of onboard satellites to UAV platforms, using remote sensing techniques and geographic information systems, among others. The variability of problems and projects to be analyzed, studied, and solved is very wide. This book presents a collection of different experiences, ranging from the location of areas of interest to the simulation of future scenarios of a territory at local and regional scales, considering spatial resolutions ranging from centimeters to hundreds of meters. The common objective of all the works compiled in this book is to support decision-making in environmental management.


Book
Remote Sensing of Natural Hazards
Authors: ---
Year: 2022 Publisher: Basel MDPI Books

Loading...
Export citation

Choose an application

Bookmark

Abstract

Each year, natural hazards such as earthquakes, cyclones, flooding, landslides, wildfires, avalanches, volcanic eruption, extreme temperatures, storm surges, drought, etc., result in widespread loss of life, livelihood, and critical infrastructure globally. With the unprecedented growth of the human population, largescale development activities, and changes to the natural environment, the frequency and intensity of extreme natural events and consequent impacts are expected to increase in the future.Technological interventions provide essential provisions for the prevention and mitigation of natural hazards. The data obtained through remote sensing systems with varied spatial, spectral, and temporal resolutions particularly provide prospects for furthering knowledge on spatiotemporal patterns and forecasting of natural hazards. The collection of data using earth observation systems has been valuable for alleviating the adverse effects of natural hazards, especially with their near real-time capabilities for tracking extreme natural events. Remote sensing systems from different platforms also serve as an important decision-support tool for devising response strategies, coordinating rescue operations, and making damage and loss estimations.With these in mind, this book seeks original contributions to the advanced applications of remote sensing and geographic information systems (GIS) techniques in understanding various dimensions of natural hazards through new theory, data products, and robust approaches.


Book
Geo-Informatics in Resource Management
Author:
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

The management of natural resources can be approached using different data sources and techniques, from images registered by sensors of onboard satellites to UAV platforms, using remote sensing techniques and geographic information systems, among others. The variability of problems and projects to be analyzed, studied, and solved is very wide. This book presents a collection of different experiences, ranging from the location of areas of interest to the simulation of future scenarios of a territory at local and regional scales, considering spatial resolutions ranging from centimeters to hundreds of meters. The common objective of all the works compiled in this book is to support decision-making in environmental management.

Keywords

Research & information: general --- secondary succession monitoring --- Natura 2000 threats --- tree detection --- archival photographs --- spectro-textural classification --- granulometric analysis --- GLCM --- alpine grassland --- fractional vegetation cover --- ground survey --- precision evaluation --- multi-scale LAI product validation --- PROSAIL model --- EBK --- crop growth period --- adaptive K-means algorithm --- heavy industry heat sources --- NPP-VIIRS --- active fire data --- night-time light data --- spatial autocorrelation --- spatial pattern --- spatial relationship --- natural wetlands changes --- associated influencing factors --- mainland China --- farmland abandonment mapping --- textural segmentation --- aerial imagery --- land use --- Poznań --- agent based modeling --- disaster management --- resource allocation --- high severity level --- first come first serve --- geographical information system --- bearing capacity --- analytic hierarchy process --- geographical survey of national conditions --- hotspot analysis --- topsis algorithm --- automatic identification system data --- 21st Century Maritime Silk Road region --- oil flow analysis --- maritime oil chokepoint --- Middle East Respiratory Syndrome --- seismic parameters --- GIS --- seismicity --- spatial analysis --- b-value --- earthquake catalog --- future scenarios --- prelude --- dynamic of land use --- Spatial Decision Support System, CORINE Land Cover --- remote sensing --- geographic information system

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