Temporal change and its spatial variety on land surface temperature and land use changes in the Red River Delta, Vietnam, using MODIS time-series imagery

2015 ◽  
Vol 187 (7) ◽  
Author(s):  
On Van Nguyen ◽  
Kensuke Kawamura ◽  
Dung Phan Trong ◽  
Zhe Gong ◽  
Endan Suwandana
Keyword(s):  
Land Use ◽  
Time Series ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Temporal Change ◽  
Land Use Changes ◽  
River Delta ◽  
Red River ◽  
Red River Delta

scholarly journals Using Landsat Thematic Mapper (TM) sensor to detect change in land surface temperature in relation to land use change in Yazd, Iran

Solid Earth ◽  
2016 ◽  
Vol 7 (6) ◽  
pp. 1551-1564 ◽  
Author(s):  
Sajad Zareie ◽  
Hassan Khosravi ◽  
Abouzar Nasiri ◽  
Mostafa Dastorani
Keyword(s):  
Land Use ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Land Use Changes ◽  
Thermal Conditions ◽  
Kappa Coefficient ◽  
Thematic Mapper ◽  
Landsat Thematic Mapper ◽  
Land Use Types

Abstract. Land surface temperature (LST) is one of the key parameters in the physics of land surface processes from local to global scales, and it is one of the indicators of environmental quality. Evaluation of the surface temperature distribution and its relation to existing land use types are very important to the investigation of the urban microclimate. In arid and semi-arid regions, understanding the role of land use changes in the formation of urban heat islands is necessary for urban planning to control or reduce surface temperature. The internal factors and environmental conditions of Yazd city have important roles in the formation of special thermal conditions in Iran. In this paper, we used the temperature–emissivity separation (TES) algorithm for LST retrieving from the TIRS (Thermal Infrared Sensor) data of the Landsat Thematic Mapper (TM). The root mean square error (RMSE) and coefficient of determination (R2) were used for validation of retrieved LST values. The RMSE of 0.9 and 0.87 °C and R2 of 0.98 and 0.99 were obtained for the 1998 and 2009 images, respectively. Land use types for the city of Yazd were identified and relationships between land use types, land surface temperature and normalized difference vegetation index (NDVI) were analyzed. The Kappa coefficient and overall accuracy were calculated for accuracy assessment of land use classification. The Kappa coefficient values are 0.96 and 0.95 and the overall accuracy values are 0.97 and 0.95 for the 1998 and 2009 classified images, respectively. The results showed an increase of 1.45 °C in the average surface temperature. The results of this study showed that optical and thermal remote sensing methodologies can be used to research urban environmental parameters. Finally, it was found that special thermal conditions in Yazd were formed by land use changes. Increasing the area of asphalt roads, residential, commercial and industrial land use types and decreasing the area of the parks, green spaces and fallow lands in Yazd caused a rise in surface temperature during the 11-year period.

scholarly journals THE EFFECT OF LAND USE CHANGE ON LAND SURFACE TEMPERATURE IN THE NETHERLANDS

2015 ◽  
Vol XL-1-W5 ◽  
pp. 745-748 ◽  
Author(s):  
S. Youneszadeh ◽  
N. Amiri ◽  
P. Pilesjo
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Information System ◽  
Land Use Change ◽  
The Netherlands ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Land Use Changes ◽  
Geographical Information

The Netherlands is a small country with a relatively large population which experienced a rapid rate of land use changes from 2000 to 2008 years due to the industrialization and population increase. Land use change is especially related to the urban expansion and open agriculture reduction due to the enhanced economic growth. This research reports an investigation into the application of remote sensing and geographical information system (GIS) in combination with statistical methods to provide a quantitative information on the effect of land use change on the land surface temperature. In this study, remote sensing techniques were used to retrieve the land surface temperature (LST) by using the MODIS Terra (MOD11A2) Satellite imagery product. As land use change alters the thermal environment, the land surface temperature (LST) could be a proper change indicator to show the thermal changes in relation with land use changes. The Geographical information system was further applied to extract the mean yearly land surface temperature (LST) for each land use type and each province in the 2003, 2006 and 2008 years, by using the zonal statistic techniques. The results show that, the inland water and offshore area has the highest night land surface temperature (LST). Furthermore, the Zued (South)-Holland province has the highest night LST value in the 2003, 2006 and 2008 years. The result of this research will be helpful tool for urban planners and environmental scientists by providing the critical information about the land surface temperature.

scholarly journals STUDY OF LAND USE CHANGES AND ITS RELATIONSHIP WITH TEMPERATURE AND DENGUE FEVER IN 2003 AND 2016 OVER JAKARTA PROVINCE USING LANDSAT 7+ETM AND LANDSAT 8 OLI

2018 ◽  
Vol 12 (1) ◽  
pp. 18
Author(s):  
Risya Lailarahma ◽  
I Wayan Sandi Adnyana
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Surface Temperature ◽  
Dengue Fever ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Land Use Changes ◽  
Water Infiltration ◽  
Landsat 8 ◽  
Temperature Changes

Land use changes over Jakarta caused by urbanization affected the increasing of infrastructure and decreasing vegetation from 2003 to 2016. This condition reduced water infiltration and caused inundation when heavy rainfall coming. Then Aedes aegypti would breed.and increased which brought dengue fever desease. This study was about analyzing the land use change in Jakarta Province using Landsat image, and its relationship with land surface temperature and dengue fever distribution. The effects of land use change also analysed by this study which including the effects from temperature and dengue fever that analysed by indices of land use in Jakarta at 2003 and 2016. The temperature analysis could be obtained by TIR band in Landsat and using some algortitma which calculated in band math of ENVI software. Vegetation index value’s average decreased from 0.652 in 2003 to 0.647 2016 in 2016. Built up index value’s average increased from -0.03 in 2003 to -0.02 in 2016. While Bareland index value’s average decreased from 0.16 in 2003 to -0.46 in 2016. Land surface temperature increased 3?C from 2003 to 2016. Vegetation area decreased 27.929 ha, bare land area decreased 6.012 ha, while built up area increased 34.278 ha from 2003 to 2016. Increasing of land surface temperature proportional to increasing dengue fever patients 1.187 patients. Increasing of land surface temperature increasing dengue fever cases 1.187 patients. To review and monitor more about the relationship between landuse changes and temperature changes required image with high resolution so that the results obtained more accurate. Complete data of dengue fever per subdistricts also required to analyse further more about relationship between landuse changes, temperature changes, and dengue fever.

Land surface temperature trends as indicator of land use changes in wetlands

2018 ◽  
Vol 70 ◽  
pp. 62-71 ◽  
Author(s):  
Javier Muro ◽  
Adrian Strauch ◽  
Sascha Heinemann ◽  
Stefanie Steinbach ◽  
Frank Thonfeld ◽  
...  
Keyword(s):  
Land Use ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Land Use Changes ◽  
Temperature Trends

scholarly journals THE RELATIONSHIP OF LAND USE CHANGES AND LAND SURFACE TEMPERATURE FOR URBAN AREA IN KUCHING, SARAWAK

2021 ◽  
Vol 19 ◽  
Author(s):  
Abdullah Sufi Ali ◽  
Farah Zaini ◽  
Mohd Azizul Hafiz Jamian
Keyword(s):  
Land Use ◽  
Surface Temperature ◽  
Case Studies ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Land Use Changes ◽  
Secondary Data ◽  
Landsat 7 ◽  
Relationship Of ◽  
The Relationship

Land surface temperature (LST) is used as an indicator for land temperature.Previous research demonstrates a strong correlation between urban growth andland surface temperature. The rising of land temperature will lead to urban heatisland if there are no preventative precautions done. Due to the area's rapidurbanisation, this study will focus on Kuching City. Matang Jaya, Tabuan Jaya,Satok, and Batu Kawa were chosen as case studies. These areas are rapidlydeveloping, with new townships and population growth. The Landsat 7 data setwas used as secondary data in this study. Spatial and thermal analysis wereperformed on the output using ERDAS software and ArcGIS. The analysesderived land use changes between 2005 and 2017, temperature statistics for landuse types, and LST retrieval for case studies. The result indicates that the landsurface temperature increased with the case studies' physical development.

scholarly journals Derivation of land surface temperature from Landsat Thematic Mapper (TM) sensor data and analyzing relation between land use changes and surface temperature

2016 ◽  
Author(s):  
S. Zareie ◽  
H. Khosravi ◽  
A. Nasiri
Keyword(s):  
Land Use ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Land Use Changes ◽  
Thermal Conditions ◽  
Thematic Mapper ◽  
Landsat Thematic Mapper ◽  
Land Use Types ◽  
Yazd City

Abstract. Land surface temperature (LST) is one of the key parameters in the physics of land surface processes from local to global scales, and it is one of the indicators of environmental quality. Evaluation of the surface temperature distribution and its relation with existing land use types are very important to investigate the urban microclimate. Land use planning in the cities must be in accordance with sustainable development goals to make the urban environment without soil, water and air pollution. In the arid and semi-arid regions, understanding the role of land use changes in the formation of urban heat islands is necessary to provide urban planning to control or reduce surface temperature. Internal factors and environmental conditions of the Yazd city have important role in the formation of special thermal conditions in the Iran. In this paper, we used the Temperature Emissivity Separation (TES) algorithm for LST retrieving from TIRS data of the Landsat Thematic Mapper (TM). The Root Mean-Square Error (RMSE) and Coefficient of Determination (R2) were used for validation of retrieved LST values. Land use types of the Yazd city were identified and relations between land use types, land surface temperature and NDVI index were analyzed. The Kappa coefficient and overall accuracy were calculated for accuracy assessment of the land use classification. The results of this study showed that optical and thermal remote sensing methodologies can be used to research urban environmental parameters. Finally, it was found that special thermal conditions in Yazd city were formed by land use changes. Increasing the area of asphalt roads, residential, commercial and industrial types and decreasing the area of the parks, green spaces and fallow lands types of land uses in the Yazd city caused a rise in surface temperature during the 11-year period.

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