Assimilating remote sensing data into a land-surface process model

International Journal of Remote Sensing

Volumn 24, Issue 14, 2003, Pages 2959-2980

  Schneider, K ^a  

^a UNIVERSITY OF COLOGNE   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

MANAGEMENT; MOISTURE; SOILS; VEGETATION;

SOWING DENSITY;

REMOTE SENSING;

DATA ASSIMILATION; GROWTH; LAND SURFACE; MONITORING; NDVI; REMOTE SENSING; SPATIAL ANALYSIS; SPATIAL DISTRIBUTION; THEMATIC MAPPING;

GERMANY;

EID: 0042265105     PISSN: 01431161     EISSN: None     Source Type: Journal    
DOI: 10.1080/01431160210154803     Document Type: Article

References (39)

1. ASRAR, G., KANEMASU, E. T., and YOSHIDA, M., 1985, Estimates of Leaf Area Index from spectral reflectance of wheat under different cultural practices and solar angle. Remote Sensing of Environment, 17, 1 11.
2. BACH, H., 1995, Die Bestimmung hydrologischer und landwirtschaftlicher Oberflächen-parameter aus hyperspektralen Fernerkundungsdaten. Münchener Geographische Abhandlungen, B21.
3. BAYRISCHE LANDESANSTALT FÜR BODENKUNDE UND PELANZENBAU (editor), 1997, Leitfaden für die Düngung von Acker- und Grünland. LBP, Freising-München.
4. BOISVERT, J. B., GWYN, Q. H. J., BRISCO, B., MAJOR, D. J., and BROWN, R. J., 1995, Evaluation of soil moisture estimation techniques and microwave penetration depth for radar application. Canadian Journal of Remote Sensing, 21, 110-123.
5. CARSEY, F., 1992, Remote sensing of ice and snow. Review and status. International Journal of Remote Sensing, 13, 5-10.
6. DEMIRCAN, A., 1995, Die Nutzung fernerkundlich bestimmter Pflanzenparameter zur flächenhaften Modellierung von Ertragsbildung und Verdunstung. Münchener Geographische Abhandlungen, B20.
7. ENGEL, T., HOOGENBOOM, G., JONES, J. W., and WILKENS, P. W., 1997, AEGIS/WIN: a computer program for the application of crop simulation models across geographic areas. Agronomy Journal, 89, 919-928.
8. ENGMAN, E. T., and CHAUHAM, N., 1995, Status of microwave soil moisture measurements with remote sensing. Remote Sensing of the Environment, 51, 189-198.
9. FAMIGLIETTI, J. S., and WOOD, E. F., 1994, Multiscale modelling of spatially variable water and energy-balance processes. Water Resources Research, 30, 3061-3078.
10. GENS, R., and GENDEREN, J. L. v., 1996, SAR interferometry-issues, techniques, applications. International Journal of Remote Sensing, 17, 1803-1835.
11. GODWIN, D. C., and SINGH, U., 1998, Nitrogen balance and crop response to nitrogen in upland and lowlands cropping systems. In Understanding Options for Agricultural Production, edited by G. Y. Tsuji, G. Hoogenboom, and P. Thornton (Dordrecht: Kluwer Academic Publishers), pp. 55-79.
12. GREGOIRE, C., and RAFFY, M., 1997, Elaboration of multispectral models for heterogeneous media: application to the LAI. Remote Sensing Reviews, 15, 223-234.
13. HALL, F. G., TOWNSHEND, J. R., and ENGMAN, E. T., 1995, Status of remote sensing algorithms for estimating land surface state parameters. Remote Sensing of Environment, 51, 138-156.
14. HODGES, T., and RITCHIE, J. T., 1991, The CERES-WHEAT phenology model. In Predicting Crop Phenology, edited by T. Hodges (Boca Raton: CRC Press), pp. 133-141.
15. HYDRO AGRI DÜLMEN GMBH, 1993, Faustzahlen für Landwirtschaft und Gartenbau. BLV Verlagsgesellschaft, Munich, Germany.
16. ITTEN, K. I., MEYER, P., KELLENBERG, T., LEU, R., SANDMEIER, S., BITTER, P., and SEIDEL, K., 1992, Correction of the impact of topography and atmosphere on LANDSAT TM forest mapping of alpine regions. Remote Sensing Series vol. 18, ETH Zurich, Switzerland.
17. JONES, C. A., and KINIRY, J. R. (editor), 1986, CERES-Maize. Simulation Model of Maize Growth and Development (College Station: Texas University Press).
18. LEMAIRE, G., and GASTAL, F., 1997, N uptake and distribution in plant canopies. In Diagnosis of Nitrogen Status in Crops, edited by G. Lemaire (Berlin: Springer), pp. 1-43.
19. MAUSER, W., and SCHÄDLICH, S., 1998, Modelling the spatial distribution of evapotranspiration on different scales using remote sensing data. Journal of Hydrology, 212-213, 250-267.
20. MENZEL, A., 2000, Trends in phenological phases in Europe between 1951 and 1996. International Journal of Biometeorology, 44, 76-81.
21. MOHREN, G. M. J., 1987, Simulation of forest growth, applied to Douglas fir stands in the Netherlands. Dissertation, Landbouwuniversiteit Wageningen, The Netherlands.
22. MOHREN, G. M. J., BARTELINK, H. H., JORRITSMA, I. T. M., and KRAMER, K., 1993, A process-based growth model (FORGRO) for analysing forest dynamics in relation to environmental factors. Proceedings European Forest Reserves, 273-279.
23. MOULIN, S., BONDEAU, A., and DELÉCOLLE, R., 1998, Combining agricultural crop models and satellite observations from field to regional scales. International Journal of Remote Sensing, 19, 1021-1036.
24. MYNENI, R. B., NEMANI, R. R., and RUNNING, S. W., 1997, Estimation of global Leaf Area Index and absorbed PAR using radiative transfer models. IEEE Transactions on Geoscience and Remote Sensing, 35, 1380-1393.
25. PRATA, A. J., CASELES, V., COLL, C., SOBRINO, J. A., and OTTLÉ, C., 1995, Thermal remote sensing of land surface temperature from satellites: current status and future prospects. Remote Sensing Reviews, 12, 175-224.
26. RODERICK, M., SMITH, R., and CRIDLAND, S., 1996. The precision of the NDVI derived from AVHRR observations. Remote Sensing of Environment, 56, 57-65.
27. ROMBACH, M., and MAUSER, W., 1997, Multi-annual analysis of ERS surface soil moisture measurements of different land-uses. Proceedings of the Third ERS Symposium: Space at the Service of Our Environment, Florence, Italy, 1997 (Paris: ESA), ESA-SP- 414, vol. 1, pp. 27 34.
28. SCHNEIDER, K., and OPPELT, N., 1998, The determination of mesoscale soil moisture patterns with ERS data. Proceedings of the IGARSS '98 Symposium, Seattle, USA, 6 10 July 1998.
29. SHEEHY, J. E., and JOHNSON, I. R., 1988, Physiological models of grass growth. In The Grass Crop, edited by M. B. Jones and A. Lazenby (London: Chapman and Hall), pp. 243 275.
30. SPANNER, M. A., PIERCE, L. L., PETERSON, D. L., and RUNNING, S. W., 1990, Remote sensing of temperate coniferous forest Leaf Area Index: the influence of canopy closure, understory vegetation and background reflectance. International Journal of Remote Sensing, 11, 95 111.
31. STEWART, J. B., ENGMAN, E. T., PEDDES, R. A., and KERR, Y. H., 1998, Scaling up in hydrology using remote sensing: summary of a workshop. International Journal of Remote Sensing, 19, 181 194.
32. STOLZ, R., and MAUSER, W., 1996, A fuzzy approach for improving landcover classifications by integrating remote sensing and GIS data. In Progress in Environmental Remote Sensing Research and Applications, edited by E. Parlow (Rotterdam: Balkema), pp. 33 41.
33. STRASSER, G., SCHNEIDER, K., and MAUSER, W., 1999, The use of ERS SAR data derived soil moisture distributions for SVAT-model validation. Proceedings of IGARSS 1999, Hamburg, Germany, vol. IV, pp. 1921 1923.
34. TANRÉ, D., HERMAN, M., and DISCHAMPS, P. Y., 1981, Influence of the background contribution upon space measurements of ground reflectance. Applied Optics, 20, 3676 3684.
35. TOPP, C. F. E., and DOYLE, C. J., 1996, Simulating the impact of global warming on milk and forage production in Scotland: 1. The effects on dry-matter yield of grass and grass white clover swards. Agricultural Systems, 52, 213 242.
36. WARING, D., and RUNNING, S., 1999, Remote sensing requirements to drive ecosystem models at the landscape and regional scale. In Integrating Hydrology, Ecosystem Dynamics, and Biogeochemistry in Complex Landscapes, edited by J. D. Tenhunen and P. Kabat (New York: John Wiley & Sons), pp. 23 38.
37. WILLIAMS, J. A., JINES, C. A., KINIRY, J. R., and SPANEL, D. A., 1989, The EPIC crop growth model. Transactions of the ASAE, 32, 497-511.
38. ZADOKS, J. C., CHANG, T. T., and KONZAK, C. F., 1974, A decimal code for the growth stages of cereals. Weed Research, 14, 415 421.
39. ZEBKER, H., WERNER, C., ROSEN, P., and HENSLEY, S., 1994, Accuracy of topographic maps derived from ERS-1 interferometric radar. IEEE Transactions on Geoscience and Remote Sensing, 32, 823 836.