Irrigation Science

, Volume 31, Issue 4, pp 851–869 | Cite as

A review of potential image fusion methods for remote sensing-based irrigation management: part II



Satellite-based sensors provide data at either greater spectral and coarser spatial resolutions or lower spectral and finer spatial resolutions due to complementary spectral and spatial characteristics of optical sensor systems. In order to overcome this limitation, image fusion has been suggested to obtain higher spatial and spectral resolution images at the same time. Image fusion has been a valuable technique in digital image analysis and comparison because of the availability of multi-spatial and multispectral images from satellite and airborne sensors. It has been applied to merge coarser spatial resolution of multispectral images with a finer spatial resolution panchromatic image to enhance visual apprehension and to provide images that are more informative. Part I companion paper presented and discussed the image downscaling methods. In this paper (part II), the main objective is to review existing image fusion methods for their capability to downscale coarser spatial resolution images for irrigation management applications. A literature review indicated that image fusion methods have not been actively used in obtaining high-resolution land surface temperature (LST) and evapotranspiration (ET) images for irrigation management. However, there is a great potential for applying image fusion methods to retrieve finer LST and ET images from coarser thermal images by fusing them with finer non-thermal color or panchromatic images for irrigation scheduling and management purposes.


Image Fusion Land Surface Temperature Laplacian Pyramid Image Fusion Method High Spatial Resolution Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



Amélioration de la résolution spatiale par injection de structures meaning improvement of the spatial resolution by injection of structures


Advanced spaceborne thermal emission and reflection radiometer


Bayesian data fusion


Component substitution


Directional filter bank


Disturbance index


Digital number


Downscaling co-kriging


Discrete wavelet transform


ENvironment for Visualizing Images


Erreur relative globale adimensionelle de synthése meaning relative dimensionless global error in synthesis




Enhanced thematic mapper plus


Generalized Laplacian pyramid


Gaussian pyramid






High-pass filter


Haar wavelet transform




Intensity, hue, and saturation


Lightness, hue, and saturation


Laplacian pyramid


Low pass filter


Land surface temperature


Moderate resolution imaging spectroradiometer


Multi-resolution analysis




Normalized difference vegetation index




Pixel block intensity modulation


Principal component analysis


Pyramidal in Fourier space


Pyramidal Laplacian


Point spread function


Relative average spectral error


Red, green, and blue


Root mean square error


Ratio of low pass pyramid




Spectral angle mapper


Smoothing filter-based intensity modulation


Signal-to-noise ratio


Systeme pour l’observation de la terre


Spatial temporal adaptive algorithm for mapping reflectance change


Spatial and temporal adaptive reflectance fusion model


Thematic mapper


Wavelet transform



Funding for this study was provided by USDA-ARS and NASA Terrestrial Hydrology Program (Proposal No. 08-THP07-0053). Authors are grateful to reviewers who provided valuable comments.


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Copyright information

© Springer-Verlag 2012

Authors and Affiliations

  • Wonsook Ha
    • 1
  • Prasanna H. Gowda
    • 1
  • Terry A. Howell
    • 1
  1. 1.Conservation and Production Research LaboratoryUSDA-ARSBushlandUSA

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