TY - JOUR

T1 - Exploring the links between census and environment using remotely sensed satellite sensor imagery

AU - Watmough, Gary R.

AU - Atkinson, Peter M.

AU - Hutton, Craig W.

N1 - M1 - 3

PY - 2013

Y1 - 2013

N2 - Relationships are often found between socio-economic variables and environmental factors for relatively small study regions. This research forms an exploratory data analysis using logistic regression to explore the (non-causal) relationships between socio-economic variables from a national census (female literacy and involvement in economic alternatives to agricultural work) and environmental metrics extracted from Earth observation (EO) data. The relationships observed often supported those found in the literature and field observations. The research highlighted the limited but potentially valuable use of EO data for monitoring socio-economic conditions which may be used to target development assistance in the future.

AB - Relationships are often found between socio-economic variables and environmental factors for relatively small study regions. This research forms an exploratory data analysis using logistic regression to explore the (non-causal) relationships between socio-economic variables from a national census (female literacy and involvement in economic alternatives to agricultural work) and environmental metrics extracted from Earth observation (EO) data. The relationships observed often supported those found in the literature and field observations. The research highlighted the limited but potentially valuable use of EO data for monitoring socio-economic conditions which may be used to target development assistance in the future.

KW - population

KW - India

KW - census

KW - environment

KW - remote sensing

KW - logistic regression

U2 - 10.1080/1747423X.2012.667447

DO - 10.1080/1747423X.2012.667447

M3 - Journal article

VL - 8

SP - 284

EP - 303

JO - Journal of Land Use Science

JF - Journal of Land Use Science

SN - 1747-423X

IS - 3

ER -