The relationship between land surface temperature and NDVI with remote sensing: application to Shanghai Landsat 7 ETM+ data
The relationship between land surface temperature and NDVI with remote sensing: application to Shanghai Landsat 7 ETM+ data
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DOI：
10.1080/01431160500306906
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发表时间：
2007-07
影响因子：
3.4
通讯作者：
Chen Yuan Su;Tian-Yuan Shih
中科院分区：
文献类型：
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作者：
Chen Yuan Su;Tian-Yuan Shih
利用ETM+和航空摄影遥感系统采集的数据，探讨了上海市地表温度（LST）和归一化植被指数（NDVI）与城市土地利用类型和土地利用格局的关系。从地表温度和植被指数的目视解译结果来看，地表温度和植被指数之间存在明显的相关性。与不同土地利用类型相关的平均LST和NDVI值存在显著差异。与每种土地利用类型配对相关的平均LST和NDVI值的多重比较也显示出显着差异。回归分析的结果表明，在所有土地利用多边形内，地表温度与植被指数呈负相关关系，每种土地利用类型的地表温度与植被指数呈负相关关系，但相关系数因土地利用类型而异。对LST、NDVI与Shannon多样性指数（SHDI）的关系分析表明，LST与SHDI呈正相关，而NDVI与SHDI呈负相关。研究结果表明，LST、SHDI和NDVI可作为研究城市生态环境的3个基本指标，有助于进一步验证成本相对较低、空间分辨率适中的卫星影像在城市土地功能区划环境影响评价中的适用性，进而考察上海市城市土地利用对城市环境的影响。这为利用遥感和地理信息系统评价城市生态系统分区的环境影响提供了一个有效的工具。
The relationship between land surface temperature (LST) and Normalized Difference Vegetation Index (NDVI) associated with urban land‐use type and land‐use pattern is discussed in the City of Shanghai, China using data collected by the Enhanced Thematic Mapper Plus (ETM+) and aerial photographic remote sensing system. There is an apparent correlation between LST and NDVI from the visual interpretation of LST and NDVI contrasts. Mean LST and NDVI values associated with different land‐use types are significantly different. Multiple comparisons of mean LST and NDVI values associated with pairings of each land‐use type are also shown to be significantly different. The result of a regressive analysis shows an inverse correlation relationship between LST and NDVI within all land‐use polygons, the same to each land‐use type, but correlation coefficients associated with land‐use types are different. An analysis on the relationship between LST, NDVI and Shannon Diversity Index (SHDI) shows a positive correlation between LST and SHDI and a negative correlation between NDVI and SHDI. According to the above results, LST, SHDI and NDVI can be considered to be three basic indices to study the urban ecological environment and to contribute to further validation of the applicability of relatively low cost, moderate spatial resolution satellite imagery in evaluating environmental impacts of urban land function zoning, then to examine the impact of urban land‐use on the urban environment in Shanghai City. This provides an effective tool in evaluating the environmental influences of zoning in urban ecosystems with remote sensing and geographical information systems.