Incorporating remote sensing data in physically based distributed agro-hydrological modelling

Journal of Hydrology

Volumn 287, Issue 1-4, 2004, Pages 279-299

  Boegh, E ^a,c   Thorsen, M ^b   Butts, M B ^b   Hansen, S ^a   Christiansen, J S ^b   Abrahamsen, P ^a   Hasager, C B ^e   Jensen, N O ^e   Van Der Keur, P ^a,f   Refsgaard, J C ^b,f   Schelde, K ^d   Soegaard, H ^c   Thomsen, A ^d  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

^b DHI   (Denmark)

^c UNIVERSITY OF COPENHAGEN   (Denmark)

^d DANISH INSTITUTE OF AGRICULTURAL SCIENCES   (Denmark)

^e TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^f GEOLOGICAL SURVEY OF DENMARK AND GREENLAND   (Denmark)

Author keywords

Data assimilation; Distributed model; Evapotranspiration; Remote sensing; Validation

Indexed keywords

AGRONOMY; DATA ACQUISITION; EVAPOTRANSPIRATION; REMOTE SENSING; SOILS; VEGETATION; WATER;

EDDY COVARIANCE FLUXES;

HYDROLOGY;

AGRICULTURAL LAND; DATA ASSIMILATION; EVAPOTRANSPIRATION; LEAF AREA INDEX; REMOTE SENSING; SATELLITE DATA; VEGETATION; WATER BUDGET;

DENMARK; EURASIA; EUROPE; NORTHERN EUROPE; SCANDINAVIA;

EID: 10744229562     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2003.10.018     Document Type: Article

References (50)

1. Abrahamsen P., Hansen S. Daisy: an open soil-crop-atmosphere system model. Environmental Modelling and Software. 15:2001;313-330.
2. Aronoff S. Classification accuracy: a user approach. Photogrammetric Engineering and Remote Sensing. 48:(8):1982;1299-1307.
3. Artan G.A., Neale C.M.U., Tarboton D.G. Characteristic length scale of input data in distributed models: implications for modeling grid size. Journal of Hydrology. 227:2000;128-139.
4. Biftu G.F., Gan T.Y. Semi-distributed, physically based, hydrologic modeling of the Paddle River Basin, Alberta, using remotely sensed data. Journal of Hydrology. 244:2001;137-156.
5. Boegh E., Soegaard H., Thomsen A. Evaluating evapotranspiration rates and surface conditions using Landsat TM to estimate atmospheric resistance and surface resistance. Remote Sensing of Environment. 79:2002;329-343.
6. Bouman B.A.M. Linking physical remote sensing models with crop growth simulation models, applied for sugar beet. International Journal of Remote Sensing. 13:1992;2565-2581.
7. Bruckler L., Witono H. Use of remotely sensed soil moisture content as boundary conditions in soil-atmosphere water transport modelling. 2. Estimating soil water balance. Water Resources Research. 25:1989;2437-2447.
8. Burdine N.T. Relative permeability calculations from pore-size distribution data. Transactions of the AIME. 198:1952;35-42.
9. Butts, M.B., Thorsen, M., Boegh, E., Soegaard, H., Hansen, S., Christiansen, J.S., van der Keur, P., Abrahamsen, P., Hasager, C.B., Jensen, N.O., Thomsen, A., Schelde, K., Refsgaard, J.C., 2003. Modelling evapotranspiration rates and carbon dioxide fluxes at plot and landscape scale. In preparation.
10. Campbell G.S. A simple method for determining unsaturated conductivity from moisture retention data. Soil Science. 117:1974;311-314.
11. Cayrol P., Kergoat L., Moulin S., Dedieu G., Chehbouni A. Calibrating a coupled SVAT-Vegetation growth model with remotely sensed reflectance and surface temperature - a case study for the HAPEX-Sahel grassland sites. Journal of Applied Meteorology. 39:2000;2452-2473.
12. Choudhury B.J., Monteith J.L. A four-layer model for the heat budget of homogeneous land surfaces. Quarterly Journal of the Royal Meteorological Society. 114:1988;373-398.
13. Clevers J.G.P.W., van Leeuwen H.J.C. Combined use of optical and microwave remote sensing data for crop growth monitoring. Remote Sensing of Environment. 56:1996;42-51.
14. Cosby B.J., Hornberger G.M., Clapp R.B., Ginn T.R. A statistical exploration of the relationships of soil moisture characteristics to the physical properties of soils. Water Resources Research. 20:(6):1984;682-690.
15. Fischer A., Kergoat L., Dedieu G. Coupling satellite data with vegetation functional models: review of different approaches and perspectives suggested by the assimilation strategy. Remote Sensing Reviews. 15:1997;283-303.
16. Gillies R.R., Carlson T.N., Cui J., Kustas W.P., Humes K.S. A verification of the 'triangle' method for obtaining surface soil water content and energy fluxes from remote measurements of the normalized difference vegetation index (NDVI) and surface radiant temperature. International Journal of Remote Sensing. 18:(15):1997;3145-3166.
17. Goetz S.J., Halthore R.N., Hall F.G., Markham B.L. Surface temperature retrieval in a temperate grassland with multiresolution sensors. Journal of Geophysical Research. 100:(D12):1995;25397-25410.
18. Guerif M., Duke C.L. Adjustment procedures of a crop model to the site specific characteristics of soil and crop using remote sensing data assimilation. Agriculture, Ecosystems and Environment. 81:2000;57-69.
19. Hansen S., Jensen H.E., Nielsen N.E., Svendsen H. Simulation of nitrogen dynamics and biomass production in winter wheat using the Danish simulation model DAISY. Fertilizer Research. 27:1991;245-259.
20. Hasager C.B., Jensen N.O. Surface-flux aggregation in heterogenous terrain. Quarterly Journal of the Royal Meteorological Society. 125:1999;1-28.
21. Houser P.R., Shuttleworth W.J., Famiglietti J.S., Gupta H.V., Syed K.H., Goodrich D.C. Integration of soil moisture remote sensing and hydrological modeling using data assimilation. Water Resources Research. 34:(12):1998;3405- 3420.
22. Jarvis P., McNaughton K. Stomatal control of transpiration. Scaling up from leaf to region. Advances in Ecological Research. 15:1986;1-49.
23. Joergensen, G., 1997. Remote sensing based crop simulation and soil-vegetation-atmosphere transport modelling. MIKE-SHE modelling. Data collection and preliminary setup. Danish Hydraulic Institute, internal report, 33 pp.
24. Kite G.W., Droogers P. Comparing evapotranspiration estimates from satellites, hydrological models and field data. Journal of Hydrology. 229:2000;3-18.
25. Kite G.W., Pietroniro A. Remote sensing applications in hydrology. Hydrological Sciences. 41:(4):1996;563-592.
26. Loumagne C., Normand M., Riffard M., Weisse A., Quesney A., Le Hégarat-Mascle S., Alem F. Integration of remote sensing into hydrological models for reservoir management. Hydrological Sciences. 46:(1):2001;89-103.
27. Maas S.J. Use of remotely-sensed information in agricultural crop growth models. Ecological Modelling. 41:1988;247-268.
28. 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.
29. Moulin S., Bondeau A., Delécolle R. Combining agricultural crop models and satellite observations: from field to regional scales. International Journal of Remote Sensing. 19:(6):1998;1021-1036.
30. Nouvellon Y., Moran M.S., Seen D.L., Bryant R., Rambal S., Ni W., Bégué A., Chehbouni A., Emmerich W.E., Heilman P., Qi J. Coupling a grassland ecosystem model with Landsat imgaery for a 10-year simulation of carbon and water budgets. Remote Sensing of Environment. 78:2001;131-149.
31. Olioso A., Chauki H., Courault D., Wigneron J.P. Estimation of evapotranspiration and photosynthesis by assimilation of remote sensing data into SVAT models. Remote Sensing of Environment. 68:(3):1999;341-356.
32. Ottlé C., Vidal-Madjar D. Assimilation of soil moisture inferred from infrared remote sensing in a hydrological model over the HAPEX_MOBILHY region. Journal of Hydrology. 158:1994;241-264.
33. Pauwels V.R.N., Hoeben R., Verhoest E.C., De Troch F.P. The importance of the spatial patterns of remotely sensed soil moisture in the improvement of discharge predictions for small-scale basins through data assimilation. Journal of Hydrology. 251:2001;88-102.
34. Penning de Vries F.T.W., Jansen D.M., Berge H.F.M., Bakema A. Simulation of ecophysiological processes of growth in several annual crops. Simulation Monographs. 1989;PUDOC, Wageningen. 271 pp.
35. Ranson K.J., Sun G., Knox R.G., Levine E.R., Weishampel J.F., Fifer S.T. Northern forest ecosystem dynamics using coupled models and remote sensing. Remote Sensing of Environment. 75:2001;291-302.
36. Refsgaard J.C. Parameterisation, calibration and validation of distributed hydrological models. Journal of Hydrology. 198:1996;69-97.
37. Refsgaard J.C., Storm B. MIKE SHE. Abbott M.B., Refsgaard J.C. Distributed Hydrological Modelling. 1995;17-39 Kluwer Academic Publishers, Dordrecht.
38. Sandholt I., Rasmussen K., Andersen J. A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status. Remote Sensing of Environment. 79:(2/3):2002;213-225.
39. Schmugge T. Applications of passive microwave observations of surface soil moisture. Journal of Hydrology. 212/213:1998;188-198.
40. Schuttleworth J. Combining remotely sensed data using aggregation algorithms. Hydrology and Earth System Sciences. 2:(2/3):1998;149-158.
41. Sellers P.J. Vegetation-canopy spectral reflectance and bio physical processes. Asrar G. Theory and Applications of Optical Remote Sensing. 1989;297-336 Wiley, New York.
42. Sellers P.J., Berry J.A., Collatz G.J., Field C.B., Hall F.G. Canopy reflectance, photosynthesis and transpiration. III. A reanalysis using improved leaf models and a new canopy integration scheme. Remote Sensing of Environment. 42:1992;187-216.
43. Sellers P.J., Randall D.A., Collatz G.J., Berry J.A., Field C.B., Dazlich D.A., Zhang C., Collelo G.D., Bounoua L. A revised land surface parameterization (SiB2) for atmospheric GCMs. Part I. Model formulation. Journal of Climate. 9:1996;676-706.
44. 2) surface-atmosphere heat and moisture fluxes. Journal of Hydrology. 190:1997;269-301.
45. Soegaard H., Jensen N.O., Boegh E., Hasager C.B., Schelde K., Thomsen A. Carbon dioxide exchange over agricultural landscape using eddy correlation and footprint modeling. Agricultural and Forest Meteorology. 114:2003;153-173.
46. Su Z. Remote sensing of land use and vegetation for mesoscale hydrological studies. International Journal of Remote Sensing. 21:(2):2000;213-233.
47. van der Keur P., Hansen S., Schelde K., Thomsen A. Modification of DAISY SVAT model for use of remotely sensed data. Agricultural and Forest Meteorology. 106:(3):2001;215-231.
48. Weiss M., Troufleau D., Baret F., Chauki H., Prévot L., Olioso A., Bruguier N., Brisson N. Coupling canopy functioning and radiative transfer models for remote sensing data assimilation. Agricultural and Forest Meteorology. 108:2001;113-128.
49. White J.D., Running S.W., Thornton P.E., Keane R.E., Ryan K.C., Fagre D.B., Key C.H. Assessing simulated ecosystem processes for climate variability research at Glacier National Park, USA. Ecological Applications. 8:(3):1998;805-823.
50. Wood E.F. Scaling behaviour of hydrological fluxes and variables: empirical studies using a hydrological model and remote sensing data. Hydrological Processes. 9:1995;331-346.