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

Downscaling Landsat 7 ETM+ thermal imagery using land surface temperature and NDVI images
Downscaling Landsat 7 ETM+ thermal imagery using land surface temperature and NDVI images
Thermal infrared (TIR) satellite images and derived land surface temperature (LST) are variables of great interest in many remote sensing applications. However, the TIR band has a spatial resolution which is coarser than the other multispectral bands for a given satellite sensor (visible, near and shortwave infrared bands); therefore, the spatial resolution of the retrieved LST from available satellite-borne sensors is not accurate enough to be used in certain applications.

The application of a method is shown here for obtaining LST images with enhanced spatial resolution using the LST at a coarser resolution and the Normalized Difference Vegetation Index (NDVI) of the same scene using Downscaling Cokriging (DCK). A LST image with perfect coherence was obtained by applying this method to a Landsat 7 ETM+ image. This implies that, if the downscaled LST image is degraded to its original resolution, the degraded image obtained is identical to the original. Hence high spatial resolution LST images were obtained without altering the original radiometry with the inclusion of artefacts. Moreover, the performance of DCK was compared with global and local TSHARP methods. The RMSE of the sharpened images were 0.85, 0.92 and 1.1 K, respectively.
0303-2434
515-527
Rodriguez Galiano, V.
783b4b27-6120-4b6b-8e36-d392cdd2c942
Pardo-Iguzquiza, E.
a7c2ba6d-d6b1-4005-9cea-188357c26e8a
Sanchez-Castillo, M.
86b01a31-d07d-4aa2-845d-2b5482606f55
Chica-Olmo, M.
c7291c15-3b53-45d7-942c-06985f77d6f6
Chica-Rivas, M.
83b33f96-13c6-4448-b8b5-ad4fe1e81115
Rodriguez Galiano, V.
783b4b27-6120-4b6b-8e36-d392cdd2c942
Pardo-Iguzquiza, E.
a7c2ba6d-d6b1-4005-9cea-188357c26e8a
Sanchez-Castillo, M.
86b01a31-d07d-4aa2-845d-2b5482606f55
Chica-Olmo, M.
c7291c15-3b53-45d7-942c-06985f77d6f6
Chica-Rivas, M.
83b33f96-13c6-4448-b8b5-ad4fe1e81115

Rodriguez Galiano, V., Pardo-Iguzquiza, E., Sanchez-Castillo, M., Chica-Olmo, M. and Chica-Rivas, M. (2012) Downscaling Landsat 7 ETM+ thermal imagery using land surface temperature and NDVI images. International Journal of Applied Earth Observation and Geoinformation, 18, 515-527. (doi:10.1016/j.jag.2011.10.002).

Record type: Article

Abstract

Thermal infrared (TIR) satellite images and derived land surface temperature (LST) are variables of great interest in many remote sensing applications. However, the TIR band has a spatial resolution which is coarser than the other multispectral bands for a given satellite sensor (visible, near and shortwave infrared bands); therefore, the spatial resolution of the retrieved LST from available satellite-borne sensors is not accurate enough to be used in certain applications.

The application of a method is shown here for obtaining LST images with enhanced spatial resolution using the LST at a coarser resolution and the Normalized Difference Vegetation Index (NDVI) of the same scene using Downscaling Cokriging (DCK). A LST image with perfect coherence was obtained by applying this method to a Landsat 7 ETM+ image. This implies that, if the downscaled LST image is degraded to its original resolution, the degraded image obtained is identical to the original. Hence high spatial resolution LST images were obtained without altering the original radiometry with the inclusion of artefacts. Moreover, the performance of DCK was compared with global and local TSHARP methods. The RMSE of the sharpened images were 0.85, 0.92 and 1.1 K, respectively.

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More information

Published date: August 2012
Organisations: Global Env Change & Earth Observation

Identifiers

Local EPrints ID: 360082
URI: http://eprints.soton.ac.uk/id/eprint/360082
ISSN: 0303-2434
PURE UUID: 878d2832-2b2b-4835-a698-67fc1458be95

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Date deposited: 25 Nov 2013 13:33
Last modified: 14 Mar 2024 15:33

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Contributors

Author: V. Rodriguez Galiano
Author: E. Pardo-Iguzquiza
Author: M. Sanchez-Castillo
Author: M. Chica-Olmo
Author: M. Chica-Rivas

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