2015
DOI: 10.1089/big.2014.0061
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Targeting Villages for Rural Development Using Satellite Image Analysis

Abstract: Satellite imagery is a form of big data that can be harnessed for many social good applications, especially those focusing on rural areas. In this article, we describe the common problem of selecting sites for and planning rural development activities as informed by remote sensing and satellite image analysis. Effective planning in poor rural areas benefits from information that is not available and is difficult to obtain at any appreciable scale by any means other than algorithms for estimation and inference … Show more

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Cited by 39 publications
(19 citation statements)
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“…While we believe that the methods used are adequate for the purpose of this study, having access to high-resolution remote sensing imagery would have been beneficial. Additionally, numerous other spatial methods exist to define households and estimate improved water access (Dittakan et al, 2013; Ntozini et al, 2015; Varshney et al, 2015). The application of these methods to the presented analysis should be further explored.…”
Section: Discussionmentioning
confidence: 99%
“…While we believe that the methods used are adequate for the purpose of this study, having access to high-resolution remote sensing imagery would have been beneficial. Additionally, numerous other spatial methods exist to define households and estimate improved water access (Dittakan et al, 2013; Ntozini et al, 2015; Varshney et al, 2015). The application of these methods to the presented analysis should be further explored.…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, our study findings do not necessarily apply to these communities. Recent advances in rural remote population density mapping that utilize roof reflectance data obtained from remote sensing imagery (Guo et al, 2016; Varshney et al, 2015) demonstrate a promising alternative to the Open Street Map polygon method.…”
Section: Discussionmentioning
confidence: 99%
“…Indeed, there is an increasing offer of high-quality Earth observation data, both in terms of variety of sources and of quality of resolution [75]. The usefulness of satellite images can be examined along several dimensions of satellite design characteristics and acquisition conditions, such as spatial resolution, temporal resolution, spectral range, spectral resolution, cloud coverage, time of capture and off-nadir angle [76].…”
Section: Use Of Satellite Imaging Data To Predict Energy Povertymentioning
confidence: 99%