Effects of remote sensing pixel resolution on modeled energy flux variability of croplands in Iowa

Remote Sensing of Environment

Volumn 92, Issue 4, 2004, Pages 535-547

  Kustas, W P ^a   Li, F ^a   Jackson, T J ^a   Prueger, J H ^b   MacPherson, J I ^c   Wolde, M ^c  

^a AGRICULTURAL RESEARCH SERVICE   (United States)

^b USDA ARS National Laboratory for Agriculture and the Environment   (United States)

^c NATIONAL RESEARCH COUNCIL CANADA   (Canada)

Author keywords

Energy flux variability; Iowa; Remote sensing

Indexed keywords

AIRCRAFT; CROPS; SATELLITES; SOILS; STATISTICAL METHODS; TURBULENCE; VEGETATION;

EVAPOTRANSPIRATION (ET); LAND COVER CHANGE;

REMOTE SENSING;

AGRICULTURAL CATCHMENT; ENERGY FLUX; EVAPOTRANSPIRATION; MAPPING METHOD; PIXEL; REMOTE SENSING; SATELLITE DATA; SPATIAL RESOLUTION;

IOWA; NORTH AMERICA; UNITED STATES;

GLYCINE MAX; ZEA MAYS;

EID: 4444223958     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2004.02.020     Document Type: Conference Paper

References (40)

1. Anderson M.C., Norman J.M., Diak G.R., Kustas W.P., Mecikalski J.R. A two-source time-integrated model for estimating surface fluxes using thermal infrared remote sensing. Remote Sens. Environ. 60:1997;195-216
2. Anderson M.C., Neale C.M., Li F., Norman J.M., Kustas W.P., Jayanthi H., Chavez J. Upscaling ground observations of vegetation cover and water content during SMEX02 using aircraft and landsat imagery. Remote Sensing of Environment. 92:2004;447-464. (this issue)
3. Atkinson P.M. Selecting the spatial resolution of airborne MSS imagery for small-scale agricultural mapping. International Journal of Remote Sensing. 18(9):1997;1903-1917
4. Atkinson P.M. On estimating error in remotely sensed images with the variogram. International Journal of Remote Sensing. 18(14):1997;3075-3084
5. French, A.N., (2001). Scaling of surface energy fluxes using remotely sensed data. PhD thesis, University of Maryland, 336 pp.
6. Friedl M.A. Relationships among remotely sensed data, surface energy balance, and area-averaged fluxes over partially vegetated land surfaces. Journal of Applied Meteorology. 35:1996;2091-2103
7. Friedl M.A. Examining the effects of sensor resolution and sub-pixel heterogeneity on spectral vegetation indices: Implications for biophysical modeling. Quattrochi D.A., Goodchild M.F. Scale in Remote Sensing and GIS. 1997;113-139 CRC Lewis Publishers, New York
8. Gregory P.J., Simmonds L.P., Pilbeam C.J. Soil type, climatic regime, and the response of water use efficiency to crop management. Agronomy Journal. 92:2000;814-820
9. Jackson T.J., Chen D., Cosh M.H., Li F., Walthall C., Anderson M., Doraiswamy P. Vegetation water content mapping using Landsat TM derived NDWI for corn and soybean. Remote Sensing of Environment. 2004
10. Kustas W.P., Daughtry C.S.T. Estimation of the soil heat flux/net radiation ratio from spectral data. Agricultural and Forest Meteorology. 49:1990;205-223
11. Kustas W.P., Humes K.S. Variations in the surface energy balance for a semi-arid rangeland using remotely sensed data at different spatial resolutions. Stewart J.B., Engman E.T.R., Feddes A., Kerr Y. Scaling up in Hydrology using Remote Sensing. 1996;127-145 Wiley, London. (Chap. 8)
12. Kustas W.P., Norman J.M. Use of remote sensing for evapotranspiration monitoring over land surfaces. Hydrological Science Journal. 41:1996;495-516
13. Kustas W.P., Norman J.M. Reply to comments about the basic equations of dual-source vegetation-atmosphere transfer models. Agricultural and Forest Meteorology. 94:1999;275-278
14. Kustas W.P., Norman J.M. Evaluation of soil and vegetation heat flux predictions using a simple two-source model with radiometric temperature for partial canopy cover. Agricultural and Forest Meteorology. 94:1999;13-29
15. Kustas W.P., Norman J.M. A two-source energy balance approach using directional radiometric temperature observations for sparse canopy covered surface. Agronomy Journal. 92:2000;847-854
16. Kustas W.P., Norman J.M. Evaluating the effects of subpixel heteorogeneity on pixel average fluxes. Remote Sensing of Environment. 74:2000;327-342
17. Kustas W.P., Prueger J.H., Humes K.S., Starks P.J. Estimation of surface fluxes at field scale using surface layer versus mixed-layer atmospheric variables with radiometric temperature observation. Journal of Applied Meteorology. 38:1999;224A-238A
18. Kustas W.P., Norman J.M., Anderson M.C., French A.N. Estimating subpixel surface temperatures and energy fluxes from the vegetation index-radiometric temperature relationship. Remote Sensing of Environment. 85:2003;429-440
19. Kustas W.P., Jackson T.J., Prueger J.H., Hatfield J.L., Anderson M.C. Remote sensing field experiments for evaluating soil moisture retrieval algorithms and modeling land-atmosphere dynamics in central Iowa. EOS Transactions of the American Geophysical Union. 84(45):2003;485-493
20. Kustas W.P., Norman J.M., Schmugge T.J., Anderson M.C. Mapping surface energy fluxes with radiometric temperature. Chapter 7 Quattrochi D.A., Luvall J.C. Thermal Remote Sensing in Land Surface Processes. 2004;205-253 CRC Press, Boca Raton, Florida
21. Li F., Jackson T.J., Kustas W.P., Schmugge T.J., French A.N., Cosh M., Bindlish R. Deriving land surface temperature from Landsat 5 and 7 during SMEX02/SMACEX. Remote Sensing of Environment. 92:2004;521-534. (In this issue)
22. Macpherson I., Mengistu W., Kustas W., Prueger J. Aircraft and tower-based measured fluxes over rapidly growing corn and soybean crops in Central Iowa during SMACEX. Proceedings of the Hydrology Conference, American Meteorological Society Annual Meeting, Feb. 9-13, 2003, Long Beach, CA. Preprint CD-ROM:2003
23. MacPherson, J.L., Wolde, M., (2002). NRC Twin Otter operations in the soil moisture-atmosphere coupling experiment (SMACEX). Laboratory Technical Report. LTR-FR-190, National Research Council of Canada, Ottawa, 26 pp.
24. Moran M.S., Humes K.S., Pinter P.J. Jr. The scaling characteristics of remotely-sensed variables for sparsely-vegetated heterogeneous landscapes. Journal of Hydrology. 190:1997;337-362
25. Moran M.S., Maas S.J., Pinter P.J. Jr. Combining remote sensing and modeling for estimating surface evaporation and biomass production. Remote Sensing Reviews. 12:1995;335-353
26. Moulin S., Bondeau A., Delécolle R. Combining agricultural crop models and satellite observations: From field to regional scales. International Journal of Remote Sensing. 19:1998;1021-1036
27. Norman J.M., Kustas W.P., Humes K.S. A two-source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature. Agricultural and Forest Meteorology. 77:1995;263-293
28. Raupach M.R., Finnigan J.J. Scale issues in boundary-layer meteorology: Surface energy balance in heterogeneous terrain. Hydrological Processes. 9:1995;589-612
29. Santanello J.A., Friedl M.A. Diurnal covariation in soil heat flux and net radiation. Journal of Applied Meteorology. 42:2003;851-862
30. Schuepp P.H., Leclerc M.Y., MacPherson J.I., Desjardins R.L. Footprint prediction of scalar fluxes from analytical solutions of the diffusion equation. Boundary-Layer Meteorology. 50:1990;355-373
31. 2) surface-atmsophere heat and moisture fluxes. Journal of Hydrology. 190:1997;269-301
32. Sellers P.J., Heiser M.D., Hall F.G., Goetz S.J., Strebel D.E., Verma S.B., Desjardins R.L., Schuepp P.M., MacPherson J.I. Effects of spatial variability in topography, vegetation cover and soil moisture on area-averaged surface fluxes: A case study using FIFE 1989 data. J. Geophys. Res. 100(D12):1995;25607-25629
33. Shuttleworth W.J., Gurney R.J. The theoretical relationship between foliage temperature and canopy resistance in sparse crops. Quarterly Journal of the Royal Meteorological Society. 116:1990;497-519
34. Shuttleworth W.J., Wallace J.S. Evaporation from sparse crops - an energy combination theory. Quarterly Journal of the Royal Meteorological Society. 111:1985;839-855
35. Shuttleworth W.J., Yang Z.-L., Arain M.A. Aggregation rules for surface parameters in global models. Hydrology and Earth System Sciences. 2:1997;217-226
36. Su Z., Pelgrum H., Menenti M. Aggregation effects of surface heterogeneity in land surface processes. Hydrology and Earth System Sciences. 3(4):1999;549-563
37. Townshend J.G.R., Justice C.O. Selecting the spatial resolution of satellite sensors required for global monitoring of land transformations. International Journal of Remote Sensing. 9:1988;187-236
38. Twine T.E., Kustas W.P., Norman J.M., Cook D.R., Houser P.R., Meyers T.P., Prueger J.H., Starks P.J., Wesely M.L. Correcting eddy-covariance flux underestimates over a grassland. Agriculture and Forest Meteorology. 103:2000;279-300
39. Wieringa J. Roughness-dependent geographical interpolation of surface wind speed averages. Quarterly Journal of the Royal Meteorological Society. 112:1986;867-889
40. Zhan X., Kustas W.P., Humes K.S. An intercomparison study on models of sensible heat flux over partial canopy surfaces with remotely sensed surface temperature. Remote Sensing of Environment. 58:1996;242-256