PROGRESS IN GEOGRAPHY ›› 2017, Vol. 36 ›› Issue (5): 585-596.doi: 10.18306/dlkxjz.2017.05.006

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Comparative study on the correlations between NDVI, NDMI and LST

Bin LI1,2(), Huimin WANG3, Mingzhou QIN2,4,*(), Pengyan ZHANG2,4   

  1. 1. Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Regions, Ministry of Education, Kaifeng 475004, Henan, China
    2. College of Environment and Planning, Henan University, Kaifeng 475004, Henan, China
    3. Xinxiang Institute of Planning and Design, Xinxiang 453003, Henan, China
    4. Environmental and Health Engineering Center, Henan University, Kaifeng 475004, Henan, China
  • Received:2016-06-01 Online:2017-05-20 Published:2017-05-20
  • Contact: Mingzhou QIN E-mail:libin@henu.edu.cn;mzqin@henu.edu.cn
  • Supported by:
    National Natural Science Foundation of China, No.41171439, 41401457

Abstract:

Through the comparative study of the correlations between the normalized difference vegetation index (NDVI), normalized difference moisture index (NDMI) and land surface temperature (LST), the suitability to research LST using NDVI and NDMI was verified. Based on Landsat 8 remote sensing imagery in the Zhengzhou-Kaifeng metropolitan area, LST was retrieved, and both NDVI and NDMI were calculated. At the overall, regional, and pixel levels, the correlations between LST and NDVI, NDMI were analyzed. Using GEO-Da, the spatial correlations between LST and NDVI, NDMI were simulated with the data of three sampling intervals of 150 m, 300 m and 450 m. The conclusions are as follows. First, there is a stronger linear negative correlation between LST and NDMI, and sectional analysis shows that NDMI resembles a mirror image of LST, whereas the correlation between LST and NDVI is much weaker. Second, buffer analysis shows that with the increase of distance from the down town and increase of the number of land use types, the correlation between NDMI and LST also increases gradually. Third, in the analysis of Moran's I spatial correlation, the negative correlations between LST and the two indices were significant, but because of the great difference between the values of water body in the two indices, NDMI and LST show stronger negative correlation, while the correlation between NDVI and LST is relatively weak. In general, compared with NDVI, NDMI is more suitable as an effective indicator for quantitative analysis of LST.

Key words: spatial correlation, normalized difference vegetation index (NDVI), normalized difference moistureindex (NDMI), land surface temperature (LST), Zhengzhou-Kaifeng metropolitan area