Javascript must be enabled to continue!
Remote sensing inversion and spatial variation of land surface temperature over mining areas of Jixi, Heilongjiang, China
View through CrossRef
Background
Jixi is a typical mining city in China that has undergone dramatic changes in its land-use pattern of mining areas over the development of its coal resources. The impacts of coal mining activities have greatly affected the regional land surface temperature and ecological system.
Methods
The Landsat 8 Operational Land Imager (OLI) data from 2015 and 2019 were used from the Jiguan, Didao, and Chengzihe District of Jixi in Heilongjiang, China as the study area. The calculations to determine the land-use classification, vegetation coverage, and land surface temperature (LST) were performed using ArcGIS10.5 and ENVI 5.3 software packages. A correlation analysis revealed the impact of land-use type, vegetation coverage, and coal mining activities on LSTs.
Results
The results show significant spatial differentiation in the LSTs of Jixi City. The LSTs for various land-use types were ranked from high to low as follows: mining land > construction land > grassland > cultivated land > forest land > water area. The LST was lower in areas with high vegetation coverage than in other areas. For every 0.1 increase in vegetation coverage, the LST is expected to drop by approximately 0.75 °C. An analysis of mining land patches indicates that the patch area of mining lands has a significant positive correlation with both the average and maximum patch temperatures. The average patch temperature shows a logarithmic increase with the growth of the patch area, and within 200,000 m
2
, the average patch temperature increases significantly. The maximum patch temperature shows a linear increase with the patch area growth, and for every 100,000 m
2
increase in the patch area of mining lands, the maximum patch temperature increases by approximately 0.81 °C. The higher the average patch temperature of mining land, the higher the temperature in its buffer zone, and the greater its influence scope. This study provides a useful reference for exploring the warming effects caused by coal mining activities and the definition of its influence scope.
Title: Remote sensing inversion and spatial variation of land surface temperature over mining areas of Jixi, Heilongjiang, China
Description:
Background
Jixi is a typical mining city in China that has undergone dramatic changes in its land-use pattern of mining areas over the development of its coal resources.
The impacts of coal mining activities have greatly affected the regional land surface temperature and ecological system.
Methods
The Landsat 8 Operational Land Imager (OLI) data from 2015 and 2019 were used from the Jiguan, Didao, and Chengzihe District of Jixi in Heilongjiang, China as the study area.
The calculations to determine the land-use classification, vegetation coverage, and land surface temperature (LST) were performed using ArcGIS10.
5 and ENVI 5.
3 software packages.
A correlation analysis revealed the impact of land-use type, vegetation coverage, and coal mining activities on LSTs.
Results
The results show significant spatial differentiation in the LSTs of Jixi City.
The LSTs for various land-use types were ranked from high to low as follows: mining land > construction land > grassland > cultivated land > forest land > water area.
The LST was lower in areas with high vegetation coverage than in other areas.
For every 0.
1 increase in vegetation coverage, the LST is expected to drop by approximately 0.
75 °C.
An analysis of mining land patches indicates that the patch area of mining lands has a significant positive correlation with both the average and maximum patch temperatures.
The average patch temperature shows a logarithmic increase with the growth of the patch area, and within 200,000 m
2
, the average patch temperature increases significantly.
The maximum patch temperature shows a linear increase with the patch area growth, and for every 100,000 m
2
increase in the patch area of mining lands, the maximum patch temperature increases by approximately 0.
81 °C.
The higher the average patch temperature of mining land, the higher the temperature in its buffer zone, and the greater its influence scope.
This study provides a useful reference for exploring the warming effects caused by coal mining activities and the definition of its influence scope.
Related Results
Comparison of Single-channel and Split-window Methods for Estimating Land Surface Temperature from Landsat 8 Data
Comparison of Single-channel and Split-window Methods for Estimating Land Surface Temperature from Landsat 8 Data
Abstract: Landsat 8 is the eighth satellite in the Landsat program, which provides images at 11 spectral channels, including 2 thermal infrared bands at a spatial resolution of 100...
Study on Urban Thermal Environment based on Diurnal Temperature Range
Study on Urban Thermal Environment based on Diurnal Temperature Range
<p>Diurnal temperature range (includes land surface temperature diurnal range and near surface air temperature diurnal range) is an important meteorological parameter...
DESIGN ON VALIDATION NETWORK OF REMOTE SENSING PRODUCTS IN CHINA
DESIGN ON VALIDATION NETWORK OF REMOTE SENSING PRODUCTS IN CHINA
Abstract. Validation is important assurance for the usage of remote sensing products. This paper introduces the design of a planning Validation network of Remote sensing Products i...
Remote sensing inversion of lake water quality parameters based on ensemble modelling
Remote sensing inversion of lake water quality parameters based on ensemble modelling
In this paper, combined with water quality sampling data and Landsat8 satellite remote sensing image data, the inversion model of Chl-a and TN water quality parameter concentration...
Modelling of Unauthorized Land Use Sprawl using High Resolution Data and GIS Based-Cellular Automata
Modelling of Unauthorized Land Use Sprawl using High Resolution Data and GIS Based-Cellular Automata
This study uses Cellular Automata (CA) model, Geography Information System (GIS) and remote sensing data to produce trend and sprawl pattern simulation of un-authorized land use in...
Venus surface temperature derived from VIRTIS on Venus Express in comparison to the Venus Climate Database
Venus surface temperature derived from VIRTIS on Venus Express in comparison to the Venus Climate Database
The temperature and dynamics of the planetary boundary layer (PBL), i.e. the atmosphere closest to the surface, are important to many aspects of Venus science. The characteristics ...
Inversion Using Adaptive Physics-Based Neural Network: Application to Magnetotelluric Inversion
Inversion Using Adaptive Physics-Based Neural Network: Application to Magnetotelluric Inversion
Abstract
In order to develop a geophysical earth model that is consistent with the measured geophysical data, two types of inversions are commonly used: a physics-ba...
Remote sensing abnormal extraction of hydroxyl alteration based on PCA method
Remote sensing abnormal extraction of hydroxyl alteration based on PCA method
Abstract
Anomalous geological events often occur during the formation and evolution of mineral deposits. The use of remote sensing technology to extract anomalies is...

