scholarly journals Spatially Consistent High-Resolution Land Surface Temperature Mosaics for Thermophysical Mapping of the Mojave Desert

Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2669 ◽  
Author(s):  
Scott A. Nowicki ◽  
Richard D. Inman ◽  
Todd C. Esque ◽  
Kenneth E. Nussear ◽  
Christopher S. Edwards
Keyword(s):  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Mojave Desert ◽  
Thermal Inertia ◽  
Infrared Observations ◽  
Fine Grained ◽  
Thermal Environments ◽  
Landsat 7 ◽  
Geomorphic Units

Daytime and nighttime thermal infrared observations acquired by the ASTER and MODIS instruments onboard the NASA Terra spacecraft have produced a dataset that can be used to map thermophysical properties across large regions, which have implications on surface processes, thermal environments and habitat suitability for desert species. ASTER scenes acquired between 2004 and 2012 are combined using new mosaicking and data-fusion techniques to produce a map of daytime and nighttime land surface temperature with coverage exclusive of the effects of clouds and weather. These data are combined with Landsat 7 visible imagery to generate a consistent map of apparent thermal inertia (ATI), which is related to the presence of exposed bedrock, rocks, fine-grained sediments and water on the surface. The resulting datasets are compared to known geomorphic units and surface types to generate an interpreted mechanical composition map of the entire Mojave Desert at 100 m per pixel that is most sensitive to large clast size distinctions in grain size distribution.

scholarly journals Retrieval of Land Surface Temperature Diurnal Cycle model parameters from Kalpana-1 VHRR data over India

2014 ◽  
Vol XL-8 ◽  
pp. 933-936
Author(s):  
D. B. Shah ◽  
M. R. Pandya ◽  
A. Gujrati ◽  
H. J. Trivedi ◽  
R. P. Singh
Keyword(s):  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Thermal Inertia ◽  
Global Scale ◽  
Surface Processes ◽  
Coefficient Of Determination ◽  
Maximum Temperature ◽  
Model Parameters ◽  
Indian Landmass

Land Surface Temperature (LST) is an important parameter in the land surface processes on regional and global scale. The Land Surface Temperature Diurnal (LSTD) cycle of different land cover is an excellent indicator of the surface processes and their interaction with planetary boundary layer. The Kalpana-1 very high resolution radiometer (VHRR) LST product is available with 30 minute spatial resolution and 0.1 degree temporal resolution. A study was carried out with an objective to determine the LSTD parameters directly from K1-VHRR monthly averaged LST observations over Indian landmass. In this analysis, a harmonic function is fitted to LSTD from the K1-VHRR observations, where cosine term describing the effect of sun and exponential term represents decay of LST during nighttime. Using LSTD parameters, one can directly know the temperature amplitude, residual temperature and time of maximum temperature for each pixel. The LSTD parameters fitting accuracy in root mean square error (RMSE) and coefficient of determination (R<sup>2</sup>) ranges between 0.5&ndash;2.5 K and 0.90&ndash;0.99 respectively for most of the pixels over Indian landmass. These LSTD parameters may bring new insight for estimation of thermal inertia and also useful in cloud screening algorithms.

scholarly journals Measuring the Urban Land Surface Temperature Variations in Zhengzhou City Using the Landsat-Like Data

2018 ◽  
Author(s):  
Zongmin Wang ◽  
Penglei Mao ◽  
Haibo Yang ◽  
Yong Zhao ◽  
Tian He ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Urban Expansion ◽  
Negative Relationship ◽  
Thermal Conditions ◽  
Landsat Data ◽  
Thermal Environments

Satellite-based remote sensing technologies are utilized extensively to investigate urban thermal environments under rapid urban expansion. Current MODIS data is, however, unable to adequately represent the spatially detailed information because of its relatively coarser spatial resolution, while Landsat data can&rsquo;t explore temporally the refined analysis due to the low temporal resolution. In order to resolve this situation, we used MODIS and Landsat data to generate &ldquo;Landsat-like&rdquo; data by using the flexible spatiotemporal data fusion method (FSDAF), and then studied spatiotemporal variation of land surface temperature (LST) and its driving factors. The results showed that 1) The estimated &ldquo;Landsat-like&rdquo; data have high precision; 2) By comparing 2013 and 2016 datasets, LST increases ranging from 1.8&deg;C to 4&deg;C were measurable in areas where the impervious surface area (ISA) increased, while LST decreases ranging from -3.52&deg;C to -0.70&deg;C were detected in areas where ISA decreased; 3) LST has a strongly negative relationship with the Normalized Difference Vegetation Index (NDVI), and a strongly positive relationship with Normalized Difference Built Index (NDBI) in summer; and 4) LST is well correlated with Building density (BD), in a complex conic mode, and LST may increase by 0.460&deg;C to 0.786&deg;C when BD increases by 0.1. Our findings can provide information useful for mitigating undesirable thermal conditions and for long-term urban thermal environmental management.

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 Land Surface Temperature Patterns in the Urban Agglomeration of Krakow (Poland) Derived from Landsat-7/ETM+ Data

2013 ◽  
Vol 171 (6) ◽  
pp. 913-940 ◽  
Author(s):  
Jakub P. Walawender ◽  
Mariusz Szymanowski ◽  
Monika J. Hajto ◽  
Anita Bokwa
Keyword(s):  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Urban Agglomeration ◽  
Landsat 7

Downscaling Landsat 7 ETM+ thermal imagery using land surface temperature and NDVI images

2012 ◽  
Vol 18 ◽  
pp. 515-527 ◽  
Author(s):  
V. Rodriguez-Galiano ◽  
E. Pardo-Iguzquiza ◽  
M. Sanchez-Castillo ◽  
M. Chica-Olmo ◽  
M. Chica-Rivas
Keyword(s):  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Thermal Imagery ◽  
Landsat 7
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