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Spatiotemporal Monitoring of Urban Vegetation

机译:城市植被的时空监测

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Monitoring spatiotemporal changes in urban agglomorations will become increasingly important as the number and proportion of urban residents continue to increase. Intra-urban variations in vegetation abundance Influence environmental conditions and energy fluxes fay selective reflection and absorbtion of solar radiation, by modulation of evapotranspiration and by sequestration of pollutants. The spatiotemporal distribution of vegetation may be effectively monitored with multispectral satellite observations. This study examines spatiotemporal analysis of urban vegetation using a linear spectral mixing model to estimate vegetation abundance from Landsat TM data. The inherent dimensionality of TM imagery of the New York City area suggests that urban reflectance measurements may be described by linear mixing between high albedo, low albedo and vegetative endmembers. Quantitative validation using vegetation abundance measurements from high resolution aerial photography shows agreement to within fractional abundances of 0.1 for vegetation fractions greater than 0.2. A spatiotemporal analysis of vegetation fraction in the New York metro area in 1996 shows intra-urban gradients of several tens of percent and pronounced spatial variations in phenology.
机译:随着城市居民数量和比例的不断增加,监测城市群的时空变化将变得越来越重要。城市内植被丰度的变化会影响环境条件和能量通量,其方式是通过调节蒸散量和隔离污染物来选择性反射和吸收太阳辐射。利用多光谱卫星观测可以有效地监测植被的时空分布。这项研究使用线性光谱混合模型检查城市植被的时空分析,以根据Landsat TM数据估算植被丰度。纽约市地区TM影像的固有维数表明,城市反射率测量可以通过高反照率,低反照率和营养性端粒之间的线性混合来描述。使用高分辨率航空摄影中的植被丰度测量结果进行的定量验证表明,对于大于0.2的植被分数,其分数丰度在0.1以内。 1996年纽约都会区植被分数的时空分析显示,城市内部的梯度为百分之几十,物候学上存在明显的空间变化。

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