[1]WEI Baocheng,YIN Shan,SONG Jie,et al.Quantitative Analysis on the Relationship Between Land Surface Temperature and Different Vegetation Indices Based on Remote Sensing[J].Research of Soil and Water Conservation,2015,22(05):79-85.
Copy
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
22
Number of periods:
2015 05
Page number:
79-85
Column:
Public date:
2015-10-28
- Title:
-
Quantitative Analysis on the Relationship Between Land Surface Temperature and Different Vegetation Indices Based on Remote Sensing
- Author(s):
-
WEI Baocheng1, YIN Shan1,2, SONG Jie1, WANG Yuehong1
-
1. College of Geographical Science, Inner Mongolia Normal University, Hohhot 010022, China;
2. Remote Sensing and Information Key Laboratory, Inner Mongolia Normal University, Hohhot 010022, China
-
- Keywords:
-
vegetation index; land surface temperature; Hohhot; Landsat 8
- CLC:
-
TP79
- DOI:
-
-
- Abstract:
-
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.