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加纳阿克拉的城市植被覆盖与植被变化:与住房质量的关联

Urban Vegetation Cover and Vegetation Change in Accra, Ghana: Connection to Housing Quality.

作者信息

Stow Douglas A, Weeks John R, Toure Sory, Coulter Lloyd L, Lippitt Christopher D, Ashcroft Eric

机构信息

San Diego State University.

出版信息

Prof Geogr. 2013;65(3). doi: 10.1080/00330124.2012.697856.

DOI:10.1080/00330124.2012.697856
PMID:24293703
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3842095/
Abstract

The objectives are to (1) quantify, map, and analyze vegetation cover distributions and changes across Accra, Ghana, for 2002 and 2010; and (2) examine the statistical relationship between vegetation cover and a housing quality index (HQI) for 2000 at the neighborhood level. Pixel-level vegetation cover maps derived using threshold classification of 2002 and 2010 QuickBird normalized difference vegetation index images have very high overall accuracies and yield an estimate of 5.9 percent vegetation cover reduction over the study area between 2002 and 2010. A high degree of variance in vegetation cover for individual dates is explained by HQI at the neighborhood level, although minimal covariability between absolute or relative vegetation cover change and HQI for 2000 was observed.

摘要

目标是

(1)量化、绘制并分析2002年和2010年加纳阿克拉的植被覆盖分布及变化情况;(2)在社区层面研究2000年植被覆盖与住房质量指数(HQI)之间的统计关系。利用2002年和2010年快鸟归一化植被指数图像的阈值分类得出的像素级植被覆盖图具有非常高的总体精度,且得出2002年至2010年研究区域内植被覆盖减少了5.9%的估计值。社区层面的住房质量指数解释了各日期植被覆盖的高度变化,尽管在绝对或相对植被覆盖变化与2000年住房质量指数之间观察到的协变关系极小。

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本文引用的文献

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Ann Assoc Am Geogr. 2012;102(5):932-941. doi: 10.1080/00045608.2012.671132.
2
The effect of input data transformations on object-based image analysis.输入数据变换对基于对象的图像分析的影响。
Remote Sens Lett. 2012 Jan 1;3(1):21-29. doi: 10.1080/01431161.2010.531059.
3
Neighborhoods and Fertility in Accra, Ghana: An AMOEBA-based Approach.加纳阿克拉的社区与生育率:一种基于AMOEBA的方法。
Ann Assoc Am Geogr. 2010;100(3):558-578. doi: 10.1080/00045601003791391.
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Local topographic wetness indices predict household malaria risk better than land-use and land-cover in the western Kenya highlands.当地地形湿润指数比肯尼亚高地西部的土地利用和土地覆盖更能预测家庭疟疾风险。
Malar J. 2010 Nov 16;9:328. doi: 10.1186/1475-2875-9-328.
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Spatial heterogeneity and temporal evolution of malaria transmission risk in Dakar, Senegal, according to remotely sensed environmental data.根据遥感环境数据,塞内加尔达喀尔的疟疾传播风险的空间异质性和时间演变。
Malar J. 2010 Sep 3;9:252. doi: 10.1186/1475-2875-9-252.
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7
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