Study on the temporal and spatial distribution and changes of land surface temperature in winter in Urumqi, Xinjiang

2008 ◽  
Author(s):  
Shifeng Fang ◽  
Huan Pei ◽  
Zhihui Liu ◽  
Qiudong Zhao ◽  
Zhiqun Sun
Keyword(s):  
Spatial Distribution ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Temporal And Spatial Distribution ◽  
Temporal And Spatial

scholarly journals Estimation of Diurnal Cycle of Land Surface Temperature at High Temporal and Spatial Resolution from Clear-Sky MODIS Data

2014 ◽  
Vol 6 (4) ◽  
pp. 3247-3262 ◽  
Author(s):  
Si-Bo Duan ◽  
Zhao-Liang Li ◽  
Bo-Hui Tang ◽  
Hua Wu ◽  
Ronglin Tang ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Spatial Resolution ◽  
Land Surface Temperature ◽  
Diurnal Cycle ◽  
Land Surface ◽  
Modis Data ◽  
Clear Sky ◽  
Temporal And Spatial

scholarly journals Crop and Soil Temperature Difference an Additional Factor for Analysis of the Condition of Crops

2021 ◽  
Vol 333 ◽  
pp. 01004
Author(s):  
Dmitriy Emelyanov ◽  
Irina Botvich ◽  
Anatoly Shevyrnogov
Keyword(s):  
Spatial Distribution ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Significant Relationship ◽  
Land Surface ◽  
Agricultural Land ◽  
Spectral Characteristics ◽  
Vegetation Indices ◽  
Growing Season ◽  
Radiation Temperature

The study aims to study changes in land surface temperature (LST) of soil and vegetation on agricultural land planted with barley based on unmanned LST data. Simultaneously with the LST data, the spectral characteristics (NDVI) of crops were measured using the DJI P4 Multispectral. The paper shows the variability of vegetation indices and radiation temperature during the growing season. A significant relationship was found between the dynamics of NDVI and the dynamics of radiation temperature. The features of the variability of the spatial distribution of temperatures depending on precipitation are shown. The paper gives an example of a temperature map of the studied areas in the middle of the growing season, which shows the features of the spatial distribution of temperatures.

scholarly journals Estimation of Surface and Near-Surface Air Temperatures in Arid Northwest China Using Landsat Satellite Images

2021 ◽  
Vol 9 ◽  
Author(s):  
Yi Liu ◽  
Samuel Ortega-Farías ◽  
Fei Tian ◽  
Sufen Wang ◽  
Sien Li
Keyword(s):  
Spatial Distribution ◽  
Land Surface ◽  
Vegetation Index ◽  
Meteorological Data ◽  
Northwest China ◽  
Landsat 8 ◽  
Linear Regression Models ◽  
Temporal And Spatial Distribution ◽  
Near Surface ◽  
Temporal And Spatial

Near-surface air (Ta) and land surface (Ts) temperatures are essential parameters for research in the fields of agriculture, hydrology, and ecological changes, which require accurate datasets with different temporal and spatial resolutions. However, the sparse spatial distribution of meteorological stations in Northwest China may not effectively provide high-precision Ta data. And it is not clear whether it is necessary to improve the accuracy of Ts which has the most influence on Ta. In response to this situation, the main objective of this study is to estimate Ta for Northwest China using multiple linear regression models (MLR) and random forest (RF) algorithms, based on Landsat 8 images and auxiliary data collected from 2014 to 2019. Ts, NDVI (Normalized Difference Vegetation Index), surface albedo, elevation, wind speed, and Julian day were variables to be selected, then used to estimate the daily average Ta after analysis and adjustment. Also, the Radiative Transfer Equation (RTE) method for calculating Ts would be corrected by NDVI (RTE-NDVI). The results show that: 1) The accuracy of the surface temperature (Ts) was improved by using RTE-NDVI; 2) Both MLR and RF models are suitable for estimating Ta in areas with few meteorological stations; 3) Analyzing the temporal and spatial distribution of errors, it is found that the MLR model performs well in spring and summer, and is lower in autumn, and the accuracy is higher in plain areas away from mountains than in mountainous areas and nearby areas. This study shows that through appropriate selection and combination of variables, the accuracy of estimating the pixel-scale Ta from satellite remote sensing data can be improved in the area that has less meteorological data.

scholarly journals Spatial distribution and influencing factors on urban land surface temperature of twelve megacities in China from 2000 to 2017

2021 ◽  
Vol 125 ◽  
pp. 107533
Author(s):  
Yanan Wang ◽  
Guihua Yi ◽  
Xiaobing Zhou ◽  
Tingbin Zhang ◽  
Xiaojuan Bie ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Surface Temperature ◽  
Influencing Factors ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Urban Land

scholarly journals SPATIAL AND TEMPORAL VARIATION OF LAND SURFACE TEMPERATURE IN FUJIAN PROVINCE FROM 2001 TO 2015

2018 ◽  
Vol XLII-3 ◽  
pp. 971-974
Author(s):  
Y. Li ◽  
X. Wang ◽  
Z. Ding
Keyword(s):  
Spatial Distribution ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Urban Areas ◽  
Cloud Cover ◽  
Spatial And Temporal Variation ◽  
Filter Method ◽  
Fujian Province ◽  
Slope Analysis

Land surface temperature (LST) is an essential parameter in the physics of land surface processes. The spatiotemporal variations of LST on the Fujian province were studied using AQUA Moderate Resolution Imaging Spectroradiometer LST data. Considering the data gaps in remotely sensed LST products caused by cloud contamination, the Savitzky-Golay (S-G) filter method was used to eliminate the influence of cloud cover and to describe the periodical signals of LST. Observed air temperature data from 27 weather stations were employed to evaluate the fitting performance of the S-G filter method. Results indicate that S-G can effectively fit the LST time series and remove the influence of cloud cover. Based on the S-G-derived result, Spatial and temporal Variations of LST in Fujian province from 2001 to 2015 are analysed through slope analysis. The results show that: 1) the spatial distribution of annual mean LST generally exhibits consistency with altitude in the study area and the average of LST was much higher in the east than in the west. 2) The annual mean temperature of LST declines slightly among 15 years in Fujian. 3) Slope analysis reflects the spatial distribution characteristics of LST changing trend in Fujian.Improvement areas of LST are mainly concentrated in the urban areas of Fujian, especially in the eastern urban areas. Apparent descent areas are mainly distributed in the area of Zhangzhou and eastern mountain area.

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