DOI: 10.1016/j.jag.2013.08.012
Scopus记录号: 2-s2.0-84897878817
论文题名: Investigating rural poverty and marginality in Burkina Faso using remote sensing-based products
作者: Imran M ; , Stein A ; , Zurita-Milla R
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 26, 期: 1 起始页码: 322
结束页码: 334
语种: 英语
英文关键词: Composite asset index
; Food security
; Geographical weighted regression
; SPOT NDVI
; TAMSAT rainfall
Scopus关键词: agricultural production
; environmental factor
; food consumption
; food security
; living standard
; NDVI
; poverty
; rainfall
; regression analysis
; remote sensing
; rural area
; SPOT
; Burkina Faso
英文摘要: Poverty at the national and sub-national level is commonly mapped on the basis of household surveys. Typical poverty metrics like the head count index are not able to identify its underlaying factors, particularly in rural economies based on subsistence agriculture. This paper relates agro-ecological marginality identified from regional and global datasets including remote sensing products like the normalized difference vegetation index (NDVI) and rainfall to rural agricultural production and food consumption in Burkina Faso. The objective is to analyze poverty patterns and to generate a fine resolution poverty map at the national scale. We compose a new indicator from a range of welfare indicators quantified from Georeferenced household surveys, indicating a spatially varying set of welfare and poverty states of rural communities. Next, a local spatial regression is used to relate each welfare and poverty state to the agro-ecological marginality. Our results show strong spatial dependency of welfare and poverty states over agro-ecological marginality in heterogeneous regions, indicating that environmental factors affect living conditions in rural communities. The agro-ecological stress and related marginality vary locally between rural communities within each region. About 58% variance in the welfare indicator is explained by the factors of rural agricultural production and 42% is explained by the factor of food consumption. We found that the spatially explicit approach based on multi-temporal remote sensing products effectively summarizes information on poverty and facilitates further interpretation of the newly developed welfare indicator. The proposed method was validated with poverty incidence obtained from national surveys. © 2013 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79703
Appears in Collections: 气候变化事实与影响
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作者单位: Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Netherlands
Recommended Citation:
Imran M,, Stein A,, Zurita-Milla R. Investigating rural poverty and marginality in Burkina Faso using remote sensing-based products[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,26(1)