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Frontiers of Earth Science

ISSN 2095-0195

ISSN 2095-0209(Online)

CN 11-5982/P

Postal Subscription Code 80-963

2018 Impact Factor: 1.205

Front. Earth Sci.    2018, Vol. 12 Issue (2) : 444-456    https://doi.org/10.1007/s11707-017-0657-9
RESEARCH ARTICLE
Analysis of relationships between land surface temperature and land use changes in the Yellow River Delta
Jicai NING1(), Zhiqiang GAO1, Ran MENG2, Fuxiang XU1, Meng GAO1
1. Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China
2. Environmental & Climate Sciences Department, Brookhaven National Laboratory, Upton, NY 11973, USA
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Abstract

This study analyzed land use and land cover changes and their impact on land surface temperature using Landsat 5 Thematic Mapper and Landsat 8 Operational Land Imager and Thermal Infrared Sensor imagery of the Yellow River Delta. Six Landsat images comprising two time series were used to calculate the land surface temperature and correlated vegetation indices. The Yellow River Delta area has expanded substantially because of the deposited sediment carried from upstream reaches of the river. Between 1986 and 2015, approximately 35% of the land use area of the Yellow River Delta has been transformed into salterns and aquaculture ponds. Overall, land use conversion has occurred primarily from poorly utilized land into highly utilized land. To analyze the variation of land surface temperature, a mono-window algorithm was applied to retrieve the regional land surface temperature. The results showed bilinear correlation between land surface temperature and the vegetation indices (i.e., Normalized Difference Vegetation Index, Adjusted-Normalized Vegetation Index, Soil-Adjusted Vegetation Index, and Modified Soil-Adjusted Vegetation Index). Generally, values of the vegetation indices greater than the inflection point mean the land surface temperature and the vegetation indices are correlated negatively, and vice versa. Land surface temperature in coastal areas is affected considerably by local seawater temperature and weather conditions.

Keywords land surface temperature      mono-window algorithm      Yellow River Delta      land use change      vegetation index     
Corresponding Author(s): Jicai NING   
Just Accepted Date: 27 May 2017   Online First Date: 23 June 2017    Issue Date: 09 May 2018
 Cite this article:   
Jicai NING,Zhiqiang GAO,Ran MENG, et al. Analysis of relationships between land surface temperature and land use changes in the Yellow River Delta[J]. Front. Earth Sci., 2018, 12(2): 444-456.
 URL:  
https://academic.hep.com.cn/fesci/EN/10.1007/s11707-017-0657-9
https://academic.hep.com.cn/fesci/EN/Y2018/V12/I2/444
Fig.1  Location of study area (standard pseudocolor Landsat image, June 5, 2015).
Time seriesDate acquiredSatelliteSensorsThermal band used
A
(before wet season)
6/5/1986Landsat 5TMBand 6
5/31/1996Landsat 5TMBand 6
6/5/2015Landsat 8OLI/TIRSBand 10
B
(after wet season)
10/5/1984Landsat 5TMBand 6
10/2/2006Landsat 5TMBand 6
10/5/2013Landsat 8OLI/TIRSBand 10
Tab.1  List of Landsat images used for the two time series
Fig.2  Distribution maps of land use on June 5, 1986 and 2015.
Land cover type19862015
Area/km2Percentage/%Area/km2Percentage/%
Farmland6217.9055.186634.6456.08
Woodland65.910.5897.430.85
Grassland1772.9115.73194.341.69
Water194.261.72475.894.15
Built-up722.796.411117.7710.27
Saline-alkali field771.796.8576.790.67
Beaches906.258.04720.346.28
Salterns209.411.861512.4813.18
Aquaculture ponds73.200.65655.865.72
Wetland333.282.96127.941.12
Total11,267.69110011473.5100
Tab.2  Area and percentage of various land use and land cover types
Land use
type
FarmlandWoodlandGrasslandWaterBuilt-upSaline-
alkali field
BeachesSalternsAquaculture
Ponds
WetlandYear 1986
Farmland5615.2810.355.56110.89160.733.04149.53137.5724.956217.90
Woodland21.4942.320.590.390.040.340.7465.91
Grassland621.362.5192.7853.96193.947.8989.64423.76251.3535.721772.91
Water29.882.671.35131.999.420.0411.520.981.924.48194.25
Built-up0.61722.090.09722.79
Saline-
alkali field
48.059.4062.8217.0833.5521.2567.79409.3096.923.79769.93
Beaches20.514.188.7934.8116.229.57315.61264.6891.6014.09780.06
Salterns2.0328.971.25174.902.25209.41
Aquaculture
ponds
8.540.640.410.1120.5738.344.5973.20
Wetland67.5026.018.1540.702.1033.7529.3452.2935.5837.86333.28
Year 20156434.6497.43180.08391.021167.5276.79513.901496.14655.86126.2411,139.63
Tab.3  Land use change matrix (from 1986 to 2015)
Fig.3  Distribution maps of LST on June 5, 1986 and 2015.
Fig.4  LST of different land use types on June 5, 1986 and 2015.
Fig.5  Spatial relationship between NDVI and LST.
Fig.6  Relationships between mean LST and the VIs (time series A).
Fig.7  Distribution map of (a) NDVI and (b) LST changes with the distance to the sea in coastal zone areas.
Fig.8  Relationships between mean LST and the VIs (time series B).
Fig.9  Example area of coastal zone in 1984. (a) Relationships between mean LST and NDVI. (b) Distribution map of NDVI. (c) Distribution map of LST.
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