呼和浩特市不同植被指数与地表温度的定量遥感关系

利用Landsat 8影像数据，提取呼和浩特市地表温度（LST）、4种典型植被参数:归一化植被指数（NDVI）、修正土壤植被指数（MSAVI）、比值植被指数（RVI）及植被覆盖度（FV），并结合研究区土地覆被信息，探讨了LST与4种典型植被参数的定量遥感关系，不同下垫面类型对地表温度—植被参数的影响及其二者之间的空间尺度效应。结果表明:地表温度—植被参数呈现出显著负相关关系，NDVI，RVI，MSAVI，FV每增加0.1，对应的LST分别下降:0.99℃，0.83℃，1.02℃，0.64℃；不同土地覆被类型中二者相关性差异显著，其中林地LST与4种植被参数相关性最强，RVI与LST相关性最稳定；在不同的空间尺度下（30～1 920 m），地表温度—植被参数空间相关性呈现出先增大后减小的趋势，NDVI，FV，MSAVI，RVI与LST的空间相关性分别在120 m，240 m，60 m，120 m达到最高。

Quantitative Analysis on the Relationship Between Land Surface Temperature and Different Vegetation Indices Based on Remote Sensing

Four kinds of typical vegetation parameters (NDVI, RVI, MSAVI and FV) were extracted, and the land surface temperature (LST) of Hohhot City was retrieved based on Landsat 8 data. Then the relationship between vegetation indices and LST, effects of different land covers were discussed by using land cover types of the study area. The results indicated that LST had the significant negative correlation with vegetation parameters. When NDVI, RVI, MSAVI and FV increased 0.1, LST would decrease by 0.99, 0.83, 1.02, and 0.64 centigrade, respectively. Forest had the strongest negative correlation with LST, while the correlation between RVI and LST was more stable. With the increase of spatial scales (30~1 920 m), the correlation between LST and vegetation parameters increased and then decreased. The correlation between NDVI, FV, MSAVI, RVI and LST reached maximum at the resolutions of 120 m, 240 m, 60 m, and 120 m, respectively.