Evaluating a thermal image sharpening model over a mixed agricultural landscape in India

International Journal of Applied Earth Observation and Geoinformation

Volumn 13, Issue 2, 2011, Pages 178-191

  Jeganathan, C ^a   Hamm, N A S ^b   Mukherjee, S ^c   Atkinson, P M ^a   Raju, P L N ^d   Dadhwal, V K ^e  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^b UNIVERSITY OF TWENTE   (Netherlands)

^c National Technological Research Organisation (NTRO)   (India)

^d INDIAN INSTITUTE OF REMOTE SENSING   (India)

^e INDIAN SPACE RESEARCH ORGANISATION   (India)

Author keywords

ASTER; Dis aggregation; Land surface temperature; MODIS; Sharpening

Indexed keywords

AGRICULTURAL LAND; ASTER; IMAGE PROCESSING; LAND SURFACE; MODIS; NDVI; PREDICTION; REGRESSION ANALYSIS; SATELLITE DATA; SPATIAL RESOLUTION; SURFACE TEMPERATURE;

INDIA;

EID: 79955574730     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2010.11.001     Document Type: Article

References (57)

1. Agam, N., Kustas, W.P., Anderson, M.C., Li, F., Neale, C.M.U., 2007a. A vegetation index based technique for spatial sharpening of thermal imagery. Remote Sensing of Environment 107, 545-558.
2. Agam, N., Kustas, W.P., Anderson, M.C., Li, F., Colaizzi, P.D., 2007b. Utility of thermal sharpening over Texas high plains irrigated agricultural fields. Journal of Geophysical Research 112, D19110, doi:10.1029/2007JD008407.
3. Alparone, L., Baronti, S., Garzelli, A., Nencini, F., 2004. A global quality measurement of pan-sharpened multispectral imagery. IEEE Geoscience and Remote Sensing Letters 1, 313-317.
4. Anderson, M.C., Norman, J.M., Mecikalski, J.R., Torn, R.D., Kustas, W.P., Basara, J.B., 2004. A multi-scale remote sensing model for disaggregating regional fluxes to micrometeorological scales. Journal of Hydrometeorology 5, 343-363.
5. Anderson, M.C., Norman, J.M., Kustas, W.P., Houborg, R., Starks, P.J., Agam, N., 2008. A thermal-based remote sensing technique for routine mapping of land-surface carbon, water and energy fluxes from field to regional scales. Remote Sensing of Environment 112, 4227-4241.
6. Armstrong, M., 1998. Basic Linear Geostatistics. Springer, London.
7. Atkinson, P.M., 1995. Regularizing variograms of airborne MSS imagery. Canadian Journal of Remote Sensing 21, 225-233.
8. Atkinson, P.M., Aplin, P., 2004. Spatial variation in land cover and choice of spatial resolution for remote sensing. International Journal of Remote Sensing 25, 3687-3702.
9. Atkinson, P.M., Sargent, I.M., Foody, G.M., Williams, J., 2007. Exploring the geostatistical method for estimating the signal-to-noise ratio of images. Photogrammetric Engineering & Remote Sensing 73, 1-10.
10. Ball, G.H., Hall, D.J., 1965. ISODATA, a novel method of data analysis and pattern classification, Technical Report (AD 699616), Stanford Research Institute, Menlo Park, CA (accessed via weblink: http://www.dtic.mil/cgibin/GetTRDoc?AD=AD699616&Location=U2&doc=GetTRDoc.pdf).
11. Barbosa, P.M., Grégoire, J.M., Pereira, J.M.C., 1999. An algorithm for extracting burned areas from time series of AVHRR GAC data applied at a continental scale. Remote Sensing of Environment 69, 253-263.
12. Brunsdon, C., Fotheringham, S., Charlton, M., 1998. Geographically weighted regression-modelling spatial non-stationarity. The Statistician, 47, Part 3, 431-443.
13. Carlson, T.N., Gillies, R.R., Perry, E.M., 1994. A method to make use of the thermal infrared and NDVI measurements to infer soil water content and fractional vegetation cover. Remote Sensing Reviews 52, 45-59.
14. Carper, W.J., Lillesand, T.M., Kieffer, R.W., 1990. The use of intensity-hue-saturation transformations for merging of SPOT panchromatic and multispectral image data. Photogrammetric Engineering and Remote Sensing 56, 459-467.
15. Chiles, J.P., Delfiner, P., 1999. Geostatistics: Modeling Spatial Uncertainty. Wiley Inter-Science, New York.
16. Curran, P.J., Atkinson, P.M., 1999. Issues of scale and optimal pixel size. In: Stein, A., Gorte, B., van der Meer, F. (Eds.), Spatial Statistics for Remote Sensing. Kluwer, Dordrecht, pp. 115-133.
17. De Cola, L., 1997. Multiresolution covariation among Landsat and AVHRR vegetation indices. In: Quattrochi, D.A., Goodchild, M.F. (Eds.), Scale in Remote Sensing and GIS. Lewis Publishers, London, pp. 73-91.
18. Fasbender, D., Tuia, D., Bogaert, P., Kanevski, M., 2008. Support-based implementation of Bayesian data fusion for spatial enhancement: applications to ASTER thermal images. IEEE Geoscience and Remote Sensing Letters 5, 598-602.
19. Foody, G.M., 2004. Spatial non-stationarity and scale-dependency in the relationship between species richness and environmental determinants for the sub-Saharan endemic avifauna. Global Ecology & Biogeography 13, 315-320.
20. Friedl, M.A., Davis, F.W., Michaelsen, J., Moritz, M.A., 1995. Scaling and uncertainty in the relationship between NDVI and land surface biophysical variables: an analysis using a scene simulation model and data from FIFE. Remote Sensing of Environment 54, 233-246.
21. Garrigues, S., Allard, D., Baret, F., Weiss, M., 2006. Global and regional land cover characterisation from satellite data: an introduction to the special issue. International Journal of Remote Sensing 21 (6-7), 1083-1092.
22. Gillespie, A., Cothern, J.S., Rokugawa, S., Matsunaga, T., Hook, S.J., Kahle, A.B., 1998. A temperature and emissivity separation algorithm for Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images. IEEE Transactions on Geoscience and Remote Sensing 36, 1113-1126.
23. Gluch, R., Quattrochi, D.A., Luvall, J.C., 2006. Amulti-scale approach to urban thermal analysis. Remote Sensing of Environment 104, 123-132.
24. Goward, S.N., Xue, Y., Czajkowski, K.P., 2002. Evaluating land surface moisture conditions from the remotely sensed temperature/vegetation index measurements-an exploration with the simplified simple biosphere model. Remote Sensing of Environment 79, 225-242.
25. Hall, F.G., Huemmrich, K.F., Goetz, S.J., Sellers, P.J., Nickerson, J.E., 1992. Satellite remote sensing of surface energy balance: success, failures and unresolved issues in FIFE. Journal of Geophysical Research 97, 061-089.
26. Hewitson, B.C, Crane, R.G., 1996. Climate downscaling: techniques and application. Climate Research 7, 85-96.
27. Hope, A., Engstrom, R., Stow, D., 2005. Relation between AVHRR surface temperature and NDVI in Arctic tundra ecosystems. International Journal of Remote Sensing 26, 1771-1776.
28. Inamdar, A.K., French, A., Hook, S., Vaughan, G., Luckett, W., 2008. Land surface temperature retrieval at high spatial and temporal resolutions over the south-western United States. Journal of Geophysical Research-Atmospheres 113, D07107, doi:10.1029/2007JD009048.
29. Inamdar, A.K., French, A., 2009. Disaggregation of GOES land surface temperatures using surface emissivity. Geophysical Research Letters 36, L02408, doi:10.1029/2008GL036544.
30. Julien, Y., Sobrino, J.A., 2009. The yearly land cover dynamics (YLCD) method: an analysis of global vegetation from NDVI and LST parameters. Remote Sensing of Environment 113, 329-334.
31. Journel, A.G., Huijbregts, J., 1978. Mining Geostatistics. Academic Press, London.
32. Justice, C.O., Giglio, L., Korontzi, S., Owens, J., Morisette, J.T., Roy, D., Descloitres, J., Alleaume, S., Petitcolin, F., Kaufman, Y., 2002. The MODIS fire products. Remote Sensing of Environment 83, 244-262.
33. Kim, G., Barrows, A.P., 2002. Downscaling of remotely sensed soil moisture with a modified fractal interpolation method using contraction mapping and ancillary data. Remote Sensing of Environment 83, 400-413.
34. Kufer, A.J., Farris, C.A., 2007. Incorporating spatial non-stationarity of regression coefficients into predictive vegetation models. Landscape Ecology 22, 837-852.
35. Kustas, W.P., Norman, J.M., Anderson, M.C., French, A.N., 2003. Estimating sub-pixel surface temperatures and energy fluxes from the vegetation index-radiometric temperature relationship. Remote Sensing of Environment 85, 429-440.
36. Kustas, W.P., Li, F., Jackson, T.J., Prueger, J.H., MacPherson, J.I., Wolde, M., 2004. Effects of remote sensing pixel resolution on modeled energy flux variability of croplands in Iowa. Remote Sensing of Environment 92, 535-547.
37. Li, F., Kustas, W.P., Anderson, M.C., Prueger, J.H., Scott, R.L., 2008. Effect of remote sensing spatial resolution on interpreting tower-based flux observations. Remote Sensing of Environment 112, 337-349.
38. Liu, D., Pu, R., 2008. Downscaling thermal infrared radiance for sub-pixel land surface temperature retrieval. Sensors 8, 2695-2706.
39. Liu, Y., Hiyama, T., Yamaguchi, Y., 2006. Scaling of land surface temperature using satellite data: a case examination of ASTER and MODIS products over a heterogeneous terrain area. Remote Sensing of Environment 105, 115-128.
40. Merlin, O., Walker, J.P., Chehbouni, A., Kerr, Y., 2008. Towards deterministic downscaling of SMOS soil moisture using MODIS derived soil evaporative efficiency. Remote Sensing of Environment 112, 3935-3946.
41. Merlin, O., Al Bitar, A., Walker, J.P., Kerr, Y., 2009. A sequential model for disaggregating near-surface soil moisture observations using multi-resolution thermal sensors. Remote Sensing of Environment 113, 2275-2284.
42. Mito, C.O., Laneve, G., Castronuovo, M.M., Ulivieri, C., 2006. Derivation of land surface temperatures from MODIS data using the general split-window technique. International Journal of Remote Sensing 27 (12), 2541-2552.
43. Moran, M.S., Clarke, T.R., Inoue, Y., Vidal, A., 1994. Estimating crop water-deficit using the relation between surface-air temperature and spectral vegetation index. Remote Sensing of Environment 49, 246-263.
44. Nemani, R., Pierce, L., Running, S., Goward, S., 1993. Developing satellite-derived estimates of surface moisture status. Journal of Applied Meteorology 32, 548-557.
45. Pardo-Igúzquiza, E., Chica-Olmo, M., Atkinson, P.M., 2006. Downscaling cokriging for image sharpening. Remote Sensing of Environment 102, 86-98.
46. Pohl, C., vanGenderen, J.L., 1998. Multisensor image fusion in remote sensing: concepts, methods and applications. International Journal of Remote Sensing 19, 823-854.
47. Rajasekar, U., Weng, Q., 2009. Urban heat island monitoring and analysis using a non-parametric model: a case study of Indianapolis. ISPRS Journal of Photogrammetry and Remote Sensing 64 (1), 86-96.
48. Sandholt, I., Rasmussena, K., Andersenb, J., 2002. A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status. Remote Sensing of Environment 79, 213-224.
49. Settle, J.J., Drake, N.A., 1993. Linear mixing and the estimation of ground cover proportions. International Journal of Remote Sensing 14, 1159-1177.
50. Stein, A., Hamm, N.A.S., Ye, Q.H., 2009. Handling uncertainties in image mining for remote sensing studies. International Journal of Remote Sensing 30, 5365-5382.
51. Sun, D.L., Kafatos, M., 2007. Note on the NDVI-LST relationship and the use of temperature-related drought indices over North America. Geophysical Research Letters 34, L24406, doi:10.1029/2007GL031485.
52. Wan,Z., Wang, P., Li, X., 2004. UsingMODISland surface temperature and normalized difference vegetation index products for monitoring drought in the southern Great Plains, USA. International Journal of Remote Sensing 25, 61-72.
53. Watson, M., Realmuto, V.J., Rose, W.I., Prata, A.J., Bluth, G.J.S., Gu, Y., Bader, C.E., Yu, T., 2004. Thermal infrared remote sensing of volcanic emissions using the moderate resolution imaging spectroradiometer. Journal of Volcanology and Geothermal Research 135, 75-89.
54. Wilby, R.L., Wigley, T.M.L., Conway, D., Jones, P.D., Hewitson, B.C., Main, J., Wilks, D.S., 1998. Statistical downscaling of general circulation model output: a comparison of methods. Water Resources Research 34, 2995-3008.
55. Wood, A.W., Leung, L.R., Sridhar, V., Lettenmaier, D.P., 2004. Hydrological implications of dynamical and statistical approaches to downscaling climate model outputs. Climatic Change 62, 189-216.
56. Wright, R.L., Flynn, H., Garbeil, A.J.L., Harris, P.E., 2002. Automated volcanic eruption detection using MODIS. Remote Sensing of Environment 82, 135-155.
57. Zurita-Milla, R., Kaiser, G., Clevers, J.G.P.W., Schneder, W., Schaepman, M.E., 2009. Downscaling time series of MERIS full resolution data to monitor vegetation seasonal dynamics. Remote Sensing of Environment 113, 1874-1885.