Downscaling Geostationary Land Surface Temperature Imagery for Urban Analysis

  title={Downscaling Geostationary Land Surface Temperature Imagery for Urban Analysis},
  author={Iphigenia Keramitsoglou and Chris T. Kiranoudis and Qihao Weng},
  journal={IEEE Geoscience and Remote Sensing Letters},
Although Earth observation data have been used in urban thermal applications extensively, these studies are often limited by the choices made in data selection, i.e., either using data with high spatial and low temporal resolution, or data with high temporal and low spatial resolution. The challenge of advancing the low spatial (3-5 km) resolution of geostationary land surface temperature (LST) images to 1 km-while maintaining the excellent temporal resolution of 15 min-is approached in this… 

Figures and Tables from this paper

Optimized AVHRR land surface temperature downscaling method for local scale observations: case study for the coastal area of the Gulf of Gdańsk

Abstract Satellite imaging systems have known limitations regarding their spatial and temporal resolution. The approaches based on subpixel mapping of the Earth’s environment, which rely on combining

Improving the disaggregation of MODIS land surface temperatures in an urban environment: a statistical downscaling approach using high-resolution emissivity

ABSTRACT Spatially and temporally dense land surface temperature (LST) data are necessary to capture the high variability of the urban thermal environment. Sensors on board satellites with high

Downscaling Land Surface Temperature from MODIS Dataset with Random Forest Approach over Alpine Vegetated Areas

In this study, we evaluated three different downscaling approaches to enhance spatial resolution of thermal imagery over Alpine vegetated areas. Due to the topographical and land-cover complexity and

Evaluating the Operational Retrieval and Downscaling of Urban Land Surface Temperatures

The results obtained indicate that both the LST retrieval and LST downscaling modules, which form the heart of the system, perform satisfactorily and have the potential to fill a large gap in monitoring the thermal urban environment.

Urban Surface Temperature Time Series Estimation at the Local Scale by Spatial-Spectral Unmixing of Satellite Observations

A new approach based on spatial-spectral unmixing techniques was developed for improving the spatial resolution of thermal infrared observations and the subsequent LST estimation, which was applied to an urban area in Crete, Greece and found to be very promising.

Downscaling Aster Land Surface Temperature over Urban Areas with Machine Learning-Based Area-To-Point Regression Kriging

A machine learning-based geostatistical downscaling method (RFATPK) is proposed for downscaled LST which integrates the advantages of random forests and area-to-point Kriging methods and the results showed that the RFATPK produced 10 m LST with higher accuracy than the TsHARP.

Diurnal analysis of surface Urban Heat Island using spatially enhanced satellite derived LST data

LST data from the NOA/IAASARS system have been employed for the study of the diurnal evolution of the SUHI phenomenon for Athens, Istanbul and Rome and highlight the intensity and temporal variation of this phenomenon for each city employed in this study.

Downscaling Landsat-8 land surface temperature maps in diverse urban landscapes using multivariate adaptive regression splines and very high resolution auxiliary data

The MARS models, by addressing the non-linear relationship of LST at coarse and fine spatial resolutions, can be successfully applied to produce high resolution LST maps suitable for studies of urban thermal environment at local scales.



Land surface temperature retrieval at high spatial and temporal resolutions over the southwestern United States

[1] Land surface temperature (LST) and its diurnal variation are important when evaluating climate change, land-atmosphere energy exchange, and the global hydrological cycle. These characteristics

Advanced earth observation methodologies for the study of the Thermal Environment of Cities

  • I. Keramitsoglou
  • Environmental Science
    2012 Second International Workshop on Earth Observation and Remote Sensing Applications
  • 2012
A suite of advanced methodologies for the study of the thermal urban environment using satellite images is being developed at National Observatory of Athens in collaboration with leading organizations, allowing for the calculation of several features from the original LST maps.

Downscaling Land Surface Temperature in an Urban Area: A Case Study for Hamburg, Germany

An LST downscaling is proposed that enhances the spatial resolution of UHI monitoring by a factor of about 2,000, which is much higher than in any previous study.

Downscaling Thermal Infrared Radiance for Subpixel Land Surface Temperature Retrieval

Two methods for downscaling coarse resolution thermal infrared (TIR) radiance for the purpose of subpixel temperature retrieval were developed on the basis of a scale-invariant physical model on TIR radiance and a statistical relationship between TIR Radiance and land cover fraction at high spatial resolution.

The Satellite Application Facility for Land Surface Analysis

Information on land surface properties finds applications in a range of areas related to weather forecasting, environmental research, hazard management and climate monitoring. Remotely sensed