XXII ISPRS Congress 2012: Technical Commission VIII

Shortis, M.; Shimoda, H.; Cho, K.

Bibliographic data

Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663822514

Title:: Technical Commission VIII

Scope:: 590 Seiten

Year of publication:: 2014

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663822514

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Shortis, M.; Shimoda, H.; Cho, K.

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VIII/2: Health]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: NIGHT-TIME LIGHTS AND LEVELS OF DEVELOPMENT: A STUDY USING DMSP-OLS NIGHT TIME IMAGES AT THE SUB-NATIONAL LEVEL Koel Roychowdhury, Simon Jones, Karin Reinke, Colin Arrowsmith

Document type:: Multivolume work

Structure type:: Chapter

38, 2012 International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia NIGHT-TIME LIGHTS AND LEVELS OF DEVELOPMENT: A STUDY USING DMSP- OLS NIGHT TIME IMAGES AT THE SUB-NATIONAL LEVEL Koel Roychowdhury, Simon J ones”, Karin Reinke, Colin Arrowsmith School of Mathematical and Geospatial Sciences RMIT University Melbourne, Australia simon.jones € rmit.edu.au Commission VIII, WG VIIU2 KEY WORDS: DMSP-OLS, night-time lights, census, scale effects, socio-economic metrics, development ABSTRACT: This paper investigates the association between night-time lights and socio-economic metrics at the regional level. This regional level of understanding is critical as it underpins much economic monitoring and policy-making for sustainable development. Stable light data obtained from night time images of 2001, captured by Defense Meteorological Satellite Program — Operational Linescan System (DMSP-OLS) satellite, are used in the study. The data records artificial lights from human habitations from the earth surface and is a surrogate of the level of development of an area. Data on socio economic metrics at the sub-national level for the year 2001 for the state of Maharashtra in India have been sourced from Primary Census Abstract of India, 2001. However, most of the socio economic variables are not available at the village level. This paper describes the process of deriving maps of census metrics not collected by Indian census for small regions (such as villages) using DMSP-OLS images that are otherwise unavailable. Linear regression models with correlation coefficients ranging from 0.75 to 0.90 (p « 0.05) at the district and the taluk level from the night- time satellite images were used to predict these census metrics for villages. Maps are produced for villages. Errors associated with the Modifiable Areal Unit Problem (MAUP) and ecological fallacies are also discussed. The paper concludes with an overall assessment of the results at these various spatial scales. 1. INTRODUCTION Night-time satellite images of the earth are recorded by the Operational Linescan System onboard the Defense Meteorological Satellite Programme (DMSP-OLS) group of satellites. This is a passive sun synchronous satellite capable of capturing artificial lights at nights from the earth surface in the visible and near-infrared regions of the electromagnetic spectrum. Initially the satellite was launched with the purpose of recording cloud covers and cloud — top temperatures over the earth surface by the US Department of Defense (DoD). However, in late 1970s it was discovered that the data obtained from the OLS sensor can record lights from cities at night (Croft 1978; Welch & Zupko 1980). The digital archives of the datasets are available since 1992. From that time, this dataset had been used for a wide range of applications. The data was used to estimate the population of the countries of the world (Elvidge, CD et al. 1997) and estimating population without access to electricity (Doll, C. N. H. & Pachauri 2010). The first global map of the GDP purchasing Power Parity (GDP-PPP) (Doll, C. N. H., Muller & Elvidge 2000) and economies (Ghosh et al. 2009) were mapped using DMSP-OLS night-time images. Gas flares on the earth surface (Elvidge, C et al. 2009) were also mapped using this data product. Radiance calibrated DMSP- OLS data were used to map urban and suburban extent around cities (Roychowdhury, K, Jones, SD & Arrowsmith, C 2009; Roychowdhury, Taubenboeck & Jones 2011) and for modelling socio-economic parameters as well as urban population data (Doll, C. N. H. 2008; Doll, C. N. H, Muller & Morley 2006; Doll, C. N. H., Muller & Elvidge 2000; Sutton 2003). However, most of these works were carried out at the global and national level. In the past few years, the utility of the night-time datasets were assessed at the sub-national level. At the smaller spatial scale, radiance calibrated DMSP-OLS dataset was used to estimate population and other socio economic metrics for the state of Maharashtra in India (Roychowdhury, K, Jones, S & Arrowsmith, C 2009). High and low gain radiance calibrated data was used separately for predicting census metrics at different spatial scales (Roychowdhury et al. 2011a). The association between night lights and GDP estimates for India at the district level was carried out using DMSP-OLS night-time images from 2008 (Bhandari & Roychowdhury 2012). This paper builds on the previous works of the authors. Satellite images captured by DMSP-OLS were used by the authors to propose a surrogate census method for small administrative regions (that is, districts and taluks) (Roychowdhury et al. 2011b; Roychowdhury et al. 2010). The satellite images are used in association with the data from last completed Indian census (also conducted in 2001). The study focuses on the state of Maharashtra in western India (fig 1). This paper examines the application of the models proposed to predict and map the metrics for the villages that are unavailable from traditional census statistics. These metrics include: number of female literates per square kilometre; * Corresponding author. This is useful to know for communication with the appropriate person in cases with more than one author. 93

Access restriction

Copyright

fullscreen: Technical Commission VIII (B8)

Multivolume work

Volume

Chapter

Chapter

Table of contents

Cite and reuse

Volume

Chapter

Image

Image fragment

Citation links

Citation recommendation