Modeling relationship between land surface temperature anomaly and environmental factors using GEE and Giovanni

Jamali, Ali Akbar; Kalkhajeh, Reza Ghorbani; Randhir, Timothy O.; He, Songtang

doi:10.1016/j.jenvman.2021.113970

Cited by 48 publications

(19 citation statements)

References 49 publications

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“…Furthermore, land surface temperature (LST) plays a significant role in analyzing the land surface energy budget [42]. LST provides valuable information for developing land surface states and land-atmosphere exchange [43]. By evaluating and observing LST changes, the government can take an essential parameter for diagnosing temperature problems.…”

Section: Land Surface Temperature Assessmentmentioning

confidence: 99%

Understanding the Linkage between Urban Growth and Land Surface Temperature—A Case Study of Bangalore City, India

et al. 2022

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Planning for a sustainable future involves understanding the past and present problems associated with urban centers. Rapid urbanization has caused significant adverse impacts on the environment and natural resources. In cities, one such impact is the unsettling urban growth, resulting in the urban heat island (UHI) effect, which causes considerable positive feedback in the climate system. It can be assessed by investigating the relationships between urban Land Use/Land Cover (LULC) changes and changes in land surface temperature. This study links the urban transformations in Bangalore, India, between 2001 and 2021, with the city’s changing average land surface temperatures. LULC classification was performed on Landsat satellite images for the years 2001, 2011, and 2021, using the support vector machine (SVM) classification algorithm. LULC change analysis revealed an increase in the built-up area coinciding with a decreasing trend of water bodies, vegetation, and the area under the others (wasteland/open land/barren land) category. The results show that built-up increased from 462.49 km2 to 867.73 km2, vegetation decreased from 799.4 km2 to 485.72 km2, and waterbody declined from 34.28 km2 to 24.69 km2 in 20 years. The impact of urbanization was evident in Bangalore’s land temperature changes between 2001 and 2021, showing the average temperature increased by 0.34 °C per year between the highest UHI events, contrary to 0.14 °C per year in non-urbanized areas. It is hoped that the results of this study can help the urban planners of Bangalore city identify critical areas where improvement in urban dwelling could be planned sustainably according to the global smart cities concept, an offshoot concept of the Sustainable Development Goal (SDG)-11.

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Section: Land Surface Temperature Assessmentmentioning

confidence: 99%

Understanding the Linkage between Urban Growth and Land Surface Temperature—A Case Study of Bangalore City, India

et al. 2022

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“…1, Table 1). The latter is a powerful and transversal open tool to assess climate change anomalies and their relationship with multiple anthropogenic and environmental factors (Jamali et al, 2022).…”

Section: Environmental Assessmentmentioning

confidence: 99%

Spatial patterns of environmental degradation and demographic changes in the Mediterranean fringes

Salhi

Subirós

Insalaco³

2022

Geocarto International

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Environmental and climatic factors contribute to the range of causes of increased socioecological conflicts, especially in the transcontinental transition areas. However, knowledge of the precise extent and patterns of environmental change driving social and migratory mutations in these areas is still quite limited. This article shows that the Mediterranean transition fringe will undergo climatic-environmental degradation except from four scattered areas of abundance which are likely to be more affected by human activity by 2050. Through an integral socioecological approach, it was found that long droughts are likely to alternate with sporadic intense storms with an impact on the loss of biodiversity, degradation of biocultural heritage, and reduction of ecosystem services. Forced migration trends towards areas of abundance have been identified according to particularly stressful divergent flows at European borders (Turkey and Morocco). The need for increased international cooperation and cross-cultural exchange is foreseen to identify and address common challenges.

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“…Besides, land surface temperature is an important characteristic for energy interchange between the surface and the atmosphere in the cities and tree canopies, as heat waves and thermal balance of an area [16]. Along with vegetation cover and canopy health, land surface temperature is an important indicator of landscape health [17]. Estimating the relationship between the land surface temperature, elevation, vegetation, and urbanisation is the key approach for landscape conservation and monitoring.…”

Section: Case Studymentioning

confidence: 99%

mentioning

confidence: 99%

GRASS GIS Scripts for Satellite Image Analysis by Raster Calculations Using Modules r.mapcalc, d.rgb, r.slope.aspect

2022

Teh. vjesn.

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This study demonstrated the use of GRASS GIS scripts for satellite image analysis. The aim is to perform topographic and environmental analysis in eastern China, Shandong Province, Qingdao region. Variables include land surface temperature evaluated by correlation between the Landsat ETM+ channels and colour composites. The methodology is based on scripting by GRASS GIS modules. Data include two satellite Landsat TM images with a 5 years span (2009 and 2004). The images were imported to GRASS GIS using GDAL library by 'r.in.gdal' module. The topography (DEM) was assessed by GRASS GIS 'd.rast' module with isolines plotted using 'r.contour' and 'd.vect'. The map elements were displayed by 'v.in.region', 'd.vect', 'v.info'. The slope and aspect maps based on DEM were plotted using module 'r.slope.aspect' and visualised by a consecutive combination of 'd.rast', 'r.colours ', 'd.legend', 'd.text' and 'd.grid' modules. The scatterplot of pairwise correlation of the selected Landsat TM7 channels (10 and 20, 50 and 70) was done by 'd.correlate'. The applied code from the 'r.mapcalc' was used for image calibration from the DN to apparent radiance at sensor. Two maps showing land surface temperature for 2009 and 2004 were plotted by 'r.mapcalc'. The land surface temperature maps show lower values over the water and forests, while higher values in cities. Plotting land surface temperature map was made to analyse variations in climate settings in Shandong during 5 years based on the comparative analysis using 'r.mapcalc' module. The images were plotted by natural and false colour band composites using 'd.rgb' module and band combinations: 1) colour infrared with focus on vegetation (5-4-3); 2) natural colour composites (1-2-3); 3) contrasting slopes for topography (4-5-7); 4) vegetation analysis (2-3-4); 5) focus on land/water borders (5-6-7). The study has shown cartographic functionality of GRASS GIS scripts specifically for remote sensing data processing and topographic analysis. The environmental modelling has shown variations in land surface temperature, slope steepness and orientation (aspect). The GRASS GIS demonstrated to be an effective tool for remote sensing. Full codes are available on the GitHub repository of the author with provided link to scripts.

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Modeling relationship between land surface temperature anomaly and environmental factors using GEE and Giovanni

Cited by 48 publications

References 49 publications

Understanding the Linkage between Urban Growth and Land Surface Temperature—A Case Study of Bangalore City, India

Understanding the Linkage between Urban Growth and Land Surface Temperature—A Case Study of Bangalore City, India

Spatial patterns of environmental degradation and demographic changes in the Mediterranean fringes

GRASS GIS Scripts for Satellite Image Analysis by Raster Calculations Using Modules r.mapcalc, d.rgb, r.slope.aspect

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