Evaluation of Disaggregation Methods for Downscaling MODIS Land Surface Temperature to Landsat Spatial Resolution in Barrax Test Site

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 9, Issue 4, 2016, Pages 1430-1438

  Bisquert, Mar ^a   Sánchez, Juan Manuel ^a   Caselles, Vicente ^b  

^a UNIVERSITY OF CASTILLA LA MANCHA   (Spain)

^b UNIVERSITY OF VALENCIA   (Spain)

Author keywords

Image enhancement; image resolution; remote sensing; temperature

Indexed keywords

IMAGE RESOLUTION; INFRARED DEVICES; RADIOMETERS; SURFACE MEASUREMENT; SURFACE PROPERTIES;

EXPERIMENTAL TEST; FINE RESOLUTION; IMAGING SPECTRORADIOMETERS; LAND SURFACE TEMPERATURE; NORMALIZED DIFFERENCE VEGETATION INDEX; SPATIAL RESOLUTION; THERMAL INFRARED; VISIBLE AND NEAR INFRARED;

ATMOSPHERIC TEMPERATURE;

DOWNSCALING; IMAGE RESOLUTION; LAND SURFACE; LANDSAT; MODIS; REMOTE SENSING; SPATIAL RESOLUTION; SURFACE TEMPERATURE;

ALBACETE [CASTILLA-LA MANCHA]; BARRAX; CASTILLA-LA MANCHA; SPAIN;

EID: 84976232131     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2016.2519099     Document Type: Article

References (34)

1. M. C. Anderson et al., "Mapping daily evapotranspiration at landsat spatial scales during the BEAREX'08 field campaign," Adv. Water Resour., vol. 50, pp. 162-177, Dec. 2012.
2. W. Ha, P. Gowda, and T. Howell, "A review of downscaling methods for remote sensing-based irrigation management: Part I," Irrig. Sci., vol. 31, no. 4, pp. 831-850, Jul. 2013.
3. W. Zhan et al., "Disaggregation of remotely sensed land surface temperature: Literature survey, taxonomy, issues, and caveats," Remote Sens. Environ., vol. 131, pp. 119-139, Apr. 2013.
4. M. Cubero-Castan, J. Chanussot, V. Achard, X. Briottet, and M. Shimoni, "A physics-based unmixing method to estimate subpixel temperatures on mixed pixels," IEEE Trans. Geosci. Remote Sens., vol. 53, no. 4, pp. 1894-1906, Apr. 2015.
5. W. P. Kustas, J. M. Norman, M. C. Anderson, and A. N. French, "Estimating subpixel surface temperatures and energy fluxes from the vegetation index-radiometric temperature relationship," Remote Sens. Environ., vol. 85, no. 4, pp. 429-440, Jun. 2003.
6. N. Agam, W. P. Kustas, M. C. Anderson, F. Li, and C. M. U. Neale, "A vegetation index based technique for spatial sharpening of thermal imagery," Remote Sens. Environ., vol. 107, no. 4, pp. 545-558, Apr. 2007.
7. C. Jeganathan, N. A. S. Hamm, S. Mukherjee, P. M. Atkinson, P. L. N. Raju, and V. K. Dadhwal, "Evaluating a thermal image sharpening model over a mixed agricultural landscape in India," Int. J. Appl. Earth Observ. Geoinf., vol. 13, no. 2, pp. 178-191, Apr. 2011.
8. V. M. Bindhu, B. Narasimhan, and K. P. Sudheer, "Development and verification of a non-linear disaggregation method (NL-DisTrad) to downscale MODIS land surface temperature to the spatial scale of Landsat thermal data to estimate evapotranspiration," Remote Sens. Environ., vol. 135, pp. 118-129, Aug. 2013.
9. J.M. Sánchez et al., "Monitoring surface energy fluxes at different spatial resolutions. Effects on fluxes variability in the Basilicata Italian region," in Proc. Recent Adv. Quant. Remote Sens. Conf., Torrent, Spain, 2006, pp. 585-590.
10. N. Agam, W. P. Kustas, M. C. Anderson, F. Li, and P. D. Colaizzi, "Utility of thermal sharpening over Texas high plains irrigated agricultural fields," J. Geophys. Res., vol. 112, D19110 pp, 2007, doi: 10.1029/2007JD008407.
11. G. Yang, R. Pu, W. Huang, J. Wang, and C. Zhao, "A novel method to estimate subpixel temperature by fusing solar-reflective and thermal-infrared remote-sensing data with an artificial neural network," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 4, pp. 2170-2178, Apr. 2010.
12. G. Yang, R. Pu, C. Zhao, W. Huang, and J. Wang, "Estimation of subpixel land surface temperature using an endmember index based technique: A case examination on ASTER and MODIS temperature products over a heterogeneous area," Remote Sens. Environ., vol. 115, no. 5, pp. 1202-1219, May 2011.
13. F. Gao, W. Kustas, and M. Anderson, "A data mining approach for sharpening thermal satellite imagery over land," Remote Sens., vol. 4, no. 12, pp. 3287-3319, Oct. 2012.
14. C. Hutengs and M. Vohland, "Downscaling land surface temperatures from MODIS data to mesoscale resolution with Random Forest regression," Gemeinsame Tag. 2014 DGfK DGPF GfGI GiN DGPF Tagungsband 23/2014, 2014.
15. X. Chen, W. Li, J. Chen, Y. Rao, and Y. Yamaguchi, "A combination of TsHARP and thin plate spline interpolation for spatial sharpening of thermal imagery," Remote Sens., vol. 6, no. 4, pp. 2845-2863, Mar. 2014.
16. S. Mukherjee, P. K. Joshi, and R. D. Garg, "A comparison of different regression models for downscaling Landsat and MODIS land surface temperature images over heterogeneous landscape," Adv. Space Res., vol. 54, no. 4, pp. 655-669, Aug. 2014.
17. C. Song, L. Jia, and M. Menenti, "Retrieving high-resolution surface soil moisture by downscaling AMSR-E brightness temperature using MODIS LST and NDVI data," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 7, no. 3, pp. 935-942, Mar. 2014.
18. J. A. Sobrino et al., "Thermal remote sensing in the framework of the SEN2FLEX project: field measurements, airborne data and applications," Int. J. Remote Sens., vol. 29, nos. 17-18, pp. 4961-4991, Sep. 2008.
19. J. F. Moreno et al., "The SPECTRA Barrax campaign (SPARC): Overview and first results from CHRIS data," Proc. second CHRIS/Proba Workshop, ESA/ESRIN, Frascati, Italy (ESA SP-578, July 2004), Apr. 28-30, 2004.
20. C. Latorre, F. Camacho, F. de la Cruz, R. Lacaze, M. Weiss, and F. Baret, "Seasonal monitoring of FAPAR over the Barrax cropland site in Spain, in support of the validation of PROBA-V products at 333 m," in Proc. Recent Adv. Quant. Remote Sens. Conf., Torrent, Spain, 2014, pp. 431-435.
21. M. Berger et al., "The DAISEX campaigns in support of a future landsurface-processes mission," ESA Bull., vol. 105, pp. 101-111, 2001.
22. R. López-Urrea, F. M. de S. Olalla, C. Fabeiro, and A. Moratalla, "An evaluation of two hourly reference evapotranspiration equations for semiarid conditions," Agric. Water Manage., vol. 86, no. 3, pp. 277-282, Dec. 2006.
23. R. López-Urrea, A. Montoro, J. González-Piqueras, P. López-Fuster, and E. Fereres, "Water use of spring wheat to raise water productivity," Agric. Water Manage., vol. 96, no. 9, pp. 1305-1310, Sep. 2009.
24. J. M. Sánchez, R. López-Urrea, E. Rubio, and V. Caselles, "Determining water use of sorghum from two-source energy balance and radiometric temperatures," Hydrol. Earth Syst. Sci., vol. 15, no. 10, pp. 3061-3070, 2011.
25. R. López-Urrea, A. Montoro, F. Mañas, P. López-Fuster, and E. Fereres, "Evapotranspiration and crop coefficients from lysimeter measurements of mature 'Tempranillo' wine grapes," Agric. Water Manage., vol. 112, pp. 13-20, Sep. 2012.
26. J. M. Sánchez, R. López-Urrea, E. Rubio, J. González-Piqueras, and V. Caselles, "Assessing crop coefficients of sunflower and canola using two-source energy balance and thermal radiometry," Agric. Water Manage., vol. 137, pp. 23-29, May 2014.
27. Z. Zhu and C. E. Woodcock, "Object-based cloud and cloud shadow detection in Landsat imagery," Remote Sens. Environ., vol. 118, pp. 83-94, Mar. 2012.
28. J. M. Sánchez, G. Scavone, V. Caselles, E. Valor, V. A. Copertino, and V. Telesca, "Monitoring daily evapotranspiration at a regional scale from Landsat-TM and ETM+ data: Application to the Basilicata region," J. Hydrol., vol. 351, nos. 1-2, pp. 58-70, Mar. 2008.
29. J. A. Barsi, J. L. Barker, and J. R. Schott, "An atmospheric correction parameter calculator for a single thermal band earth-sensing instrument," in Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS'03), 2003, vol. 5, pp. 3014-3016.
30. J. A. Barsi, J. R. Schott, F. D. Palluconi, and S. J. Hook, "Validation of a web-based atmospheric correction tool for single thermal band instruments," in Proc. SPIE Earth Obs. Syst. X, San Diego, 2005, vol. 5882, 58820E58820E7 pp.
31. G. le Maire, S. Dupuy, Y. Nouvellon, R. A. Loos, and R. Hakamada, "Mapping short-rotation plantations at regional scale using MODIS time series: Case of eucalypt plantations in Brazil," Remote Sens. Environ., vol. 152, pp. 136-149, Sep. 2014.
32. M. Bisquert, G. Bordogna, A. Bégué, G. Candiani, M. Teisseire, and P. Poncelet, "A simple fusion method for image time series based on the estimation of image temporal validity," Remote Sens., vol. 7, no. 1, pp. 704-724, 2015.
33. M. C. Anderson, J. M. Norman, J. R. Mecikalski, R. D. Torn, W. P. Kustas, and J. B. Basara, "A multiscale remote sensing model for disaggregating regional fluxes to micrometeorological scales," J. Hydrometeorol., vol. 5, no. 2, pp. 343-363, Apr. 2004.
34. J. R. Quinlan, "Combining instance-based and model-based learning," in Proc. 10th Int. Conf. Mach. Learn., 1993, pp. 236-243.