Validation of the normalized difference vegetation index as a measure of neighborhood greenness.
Validation of the normalized difference vegetation index as a measure of neighborhood greenness.
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DOI：
10.1016/j.annepidem.2011.09.001
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发表时间：
2011-12
影响因子：
5.6
通讯作者：
Dunbar, Matthew D.
中科院分区：
文献类型：
--
作者：
Rhew, Isaac C.;Vander Stoep, Ann;Kearney, Anne;Smith, Nicholas L.;Dunbar, Matthew D.
评估 GIS 测量指标（归一化植被指数 (NDVI)）的有效性，作为流行病学研究中社区绿化度的测量指标。使用遥感光谱数据，计算了大西雅图地区 124 个住宅周围 100 米径向距离的 NDVI。评判标准是由三位环境心理学家对相应居住区的绿色程度进行评分。使用 Pearson 相关性和回归模型来评估心理学家对绿色度的评分与 NDVI 之间的关联。分析还按居住密度进行分层，以评估低密度和高密度之间的相关性是否存在差异。该住宅样本的平均 NDVI 为 0.27（SD = 0.11；范围：−.04 至 0.54），心理学家对绿色度的平均评分为 2.84（SD = 0.98；范围：1 至 5）。 NDVI 与绿色专家评级之间的相关性很高 (r = .69)。在住宅密度的各个层中，这种相关性同样很强。 NDVI 是衡量社区绿化程度的有用指标。除了与专家评级显示出很强的相关性外，该措施还具有实际优势，包括数据的可用性和易于应用于各种边界，这将有助于跨研究的复制和可比性。
To assess the validity of a GIS measure, the Normalized Difference Vegetation Index (NDVI), as a measure of neighborhood greenness for epidemiologic research. Using remote-sensing spectral data, NDVI was calculated for a 100-m radial distance around 124 residences in greater Seattle. The criterion standard was rating of greenness for corresponding residential areas by three environmental psychologists. Pearson correlations and regression models were used to assess the association between the psychologists’ ratings of greenness and NDVI. Analyses were also stratified by residential density to assess whether the correlations differed between low and high density. Mean NDVI among this sample of residences was .27 (SD = 0.11; range: −.04 to .54), and the mean psychologist rating of greenness was 2.84 (SD = 0.98; range: 1 to 5). The correlation between NDVI and expert ratings of greenness was high (r = .69). The correlation was equivalently strong within each strata of residential density. NDVI is a useful measure of neighborhood greenness. In addition to showing strong correlation with expert ratings, this measure has practical advantages including availability of data and ease of application to various boundaries which would aid in replication and comparability across studies.
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影响因子：
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