Use of SPOT4-VEGETATION satellite data to improve pasture production simulated by STICS included in the ISOP French system

Agronomie

Volumn 24, Issue 6-7, 2004, Pages 437-444

  Di Bella, C ^a   Faivre, R ^b   Ruget, F ^b   Seguin, B ^b   Guerif M ^b   Combal, B ^b   Weiss, M ^b   Rebella, C ^a  

^a INSTITUTO NACIONAL DE TECNOLOGÍA AGROPECUARIA INTA   (Argentina)

^b CEMAGREF   (France)

Author keywords

Biomass production; Pastures; Regional scale; Remote sensing; STICS; Vegetation index

Indexed keywords

BIOLOGICAL PROCESSES; LAND COVER; LEAF AREA INDEX; PASTURE; SATELLITE DATA; VEGETATION INDEX;

EASTERN HEMISPHERE; EURASIA; EUROPE; FRANCE; WESTERN EUROPE; WORLD;

POACEAE;

EID: 9244235055     PISSN: 02495627     EISSN: None     Source Type: Journal    
DOI: 10.1051/agro:2004034     Document Type: Article

References (65)

1. Arnold G.W., Campbell N.A., A model of a farming system, with particular reference to a sub-model for animal production, Proc. Aust. Soc. Anim. Prod. 9 (1972) 23-30.
2. Asrar G., Fuchs M., Kanemasu E.T., Hatfield J.L., Estimation absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat, Agron. J. 76 (1984) 300-306.
3. Azzali S., Menenti M., Mapping vegetation-soil-climate complexes in southern Africa using temporal Fourier analysis of NOAA-AVHRR NDVI data, Int. J. Remote Sens. 21 (2000) 973-996.
4. Baret F., Guyot G., Potentials and limits of vegetation indices for LAI and APAR assessment, Remote Sens. Environ. 35(1990) 161-173.
5. Bélanger G., Gastal F., Lemaire G., Growth analysis of a tall fescue sward fertilized with different rates of nitrogen, Crop Sci. 32 ( 1992) 1371-1376.
6. Benoit M., Girard Cm., De Vaubernier E., Comparaison du comportement spectral de prairies permanentes en Lorraine avec leur type d'utilisation, Agron. 8 (1988) 265-272.
7. Berthelot B., Dedieu G., Correction of atmospheric effects for VEGETATION data, in: G.a.P. Guyot T. (Ed.), Physical Measurements and Signatures in Remote Sensing, Courchevel, France, 1997, pp. 19-25.
8. Bierwirth P.N., Mineral mapping and vegetation removal via data-calibrated pixel unmixing, using multispectral images, Int. J. Remote Sens. 11 (1990) 1999-2017.
9. Bouman B.A.M., Accuracy of estimating the leaf area index from vegetation indices derived from crop reflectance characteristics, a simulation study, Int. J. Remote Sens. 13 (1992) 3069-3084.
10. 2 flux, Vegetation 80 (1989) 71-89.
11. Brisson N., Mary B., Ripoche D., Jeuffroy M.H., Ruget F., Nicoullaud B., Gate P., Devienne-Barret F., Antonioletti R., Dürr C., Richard G., Beaudoin N., Recous S., Tayot X., Plénet D., Cellier P., Machet J.-M., Meynard J.M., Delécolle R., STICS: a generic model for the simulation of crops and their water and nitrogen balances. I. Theory and parametrization applied to wheat and corn, Agronomie 18 (1998) 311-346.
12. Burke I.C., Kittel T.G.F., Lauenroth W.K., Snook P., Yonker M., Parton W.J., Regional analysis of the Central Great Plains, Bioscience 41 (1991) 685-692.
13. 4 VEGETATION instrument during 1997-1999 SALSA experiment, Agric. For. Meteorol. 105 (2000) 91-115.
14. Ceccato P., Flasse S.,Grégoire J.-M., Designing a spectral index to estimate vegetation water content from remote sensing data. Part II: Validation and application, Remote Sens. Environ. 82 (2002) 198-207.
15. Chaneton E., Di Bella C., León R., Rebella C, Análisis regional de la variabilidad espacial y temporal de la productividad primaria de los pastizales de la Pampa Deprimida, XVII Reunion Argentina De Ecología (1995) Mar del Plata, Buenos Aires, Argentina.
16. Donet I., Ruget F., Rabaud V., Pérarnaud V., Delécolle R., Bonneviale N., Isop: An integrated system to real-time assessment of forage production variability over France, the 4th European Conference on Applications of Meteorology (ECAM 99) Norrköping, Sweden, 13-17 September, 1999.
17. Duru M., Ducrocq H., Tirilly V., Modelling growth of cocksfoot (Dactylis glomerata L.) and tall fescue (Festuca arundinacea Schreb.) at the end of spring in relation to herbage nitrogen status, J. Plant Nutr. 18 (1995) 2033-2047.
18. Edelstein P.R., Newton J.E., Treacher T.T., A model of ewes with lambs grazing at pasture, Internal Rep. No. 260, Grassland Research Institute, Hurley, Berks, UK, 1973.
19. Faivre R., Fischer A., Predicting crop reflectances using satellite data observing mixed pixels, J. Agric. Biol. Environ. Stat. 2 (1997) 87-107.
20. Fischer A., A simple model for the temporal variations of NDVI at regional scale over agricultural countries. Validation with ground radiometric measurements, Int. J. Remote Sens. 15 (1994) 1421-1446.
21. Gilabert M.A., Gandía S., Meliá J., Analyes of spectral-biophysical relationships for a corn canopy, Remote Sens. Environ. 55 (1996) 11-20.
22. Girard C.M., Rippstein G., Utilisation de données SPOT HRV pour la cartographie de savanes et pâturages dans les Llanos de Colombie, Bul. SFPT 133 (1994) 11-19.
23. Coward S.N., Tucker S.J., Dye D.O., North American vegetation patterns observed with the NOAA-7 advanced very high resolution radiometer, Vegetation 64 (1985) 3-14.
24. Guérif M., Machet J.M., Droulin J.F., Utilisation de la télédétection pour caractériser le statut azote des cultures de betteraves sucrières, 58th Congress - French Technical Institute for Sugar Beet, 19 June, 1995, Bruxelles, Belgium.
25. Hatfield J.L., Kanemasu E.T., Arara G., Jackson R.D., Pinter P.J., Reginato R.J., Idso S.B., Leaf area estimates from spectral measurements over various dates of wheat, Int. J. Remote Sens. 6 (1985) 167-175.
26. Hobbs R.J., Remote Sensing of Spatial and Temporal Dynamics of Vegetation, in: Remote Sensing of Biosphere Functioning, Hobbs R.J., Mooney H.A. (Eds.), 1990, Chap. 10, pp. 203-219.
27. Hobbs T.J., The use of NOAA-AVHRR NDVI data to assess herbage production in the arid rangelands of Central Australia, Int. J. Remote Sens. 16 (1995) 1289-1302.
28. Huete A.R., A soil-adjusted vegetation index (SAVI), Remote Sens. Environ. 25 (1988) 295-309.
29. Jasinski M.F., Estimation of Subpixel Vegetation Density of Natural Regions Using Satellite Multispectral Imagery, IEEE Trans. Geosci. Remote Sens. 34 (1996) 804-813.
30. Kaufman Y.J., Tanré D., Atmospherically Resistant Vegetation Index (ARVI) for EOS-MODIS, IEEE Trans. Geosci. Remote Sens. 30 (1992) 261-270.
31. Kerdiles H., Grondona M., NOAA-AVHRR NDVI descomposition and subpixel classification using linear mixing in the Argentinean Pampa, Int. J. Remote Sens. 16 (1995) 1303-1325.
32. Laguette S., Utilisation des données NOAA-AVHRR pour le suivi du blé a l'échelle de l'Europe, Doctoral Thesis, ENGREF, Paris, 1997.
33. Lauver C.L., Mapping species diversity patterns in the Kansas shortgrass region by integrating remote sensing and vegetation analysis, J. Veg. Sci. 8 (1997) 387-394.
34. Law B.E, Warning R.H., Combining remote sensing and climatic data to estimate net primary production across Oregon, Ecol. Appl. 4 (1994) 717-728.
35. Lo Seen D., Mougin E., Rambal S., Gaston A., Hiernaux P., A regional Sahelian grassland model to be coupled with multispectral satellite data. II: Toward the control of its simulations by remotely sensed indices, Remote Sens. Environ. 52 (1995) 194-206.
36. Lobo A., Moloney K., Chiariello N., Fine-scale mapping of a grassland from digitized aerial photography: An approach using image segmentation and discriminant analysis, Int. J. Remote Sens. 19 (1998) 65-84.
37. Monteith J.L., Solar radiation and productivity in tropical ecosystems, J. Appl. Ecol. 19 (1972) 747-766.
38. Monteith J.L., Climatic variation and the growth of crops, Q. J. Roy. Meteorol. Soc. 107 (1981) 749-774.
39. Parton W.J., Scurlock J.M.O., Ojima D.S., Schimel D.S., Hall D.O., Scope Program Group Members. Impact of climate change on grassland production and soil carbon worldwide, Global Change Biol. 1 (1995) 13-22.
40. Paruelo J.M., Epstein H.E., Lauenroth W. K., Burke I.C., ANPP estimates from NDVI for the central grassland region of the US, Ecology 78 (1997) 953-958.
41. Paruelo J.M., Oesterheld M., Di Bella C.M., Arzadum M., Lafontaine J., Cahuepé M., Rebella C.M., Estimation of primary production of sub-humid rangelands from remote sensing data, Appl. Veg. Sci. 3 (2000) 189-195.
42. Peterson U., Aunap R., Changes in agricultural land use in Estonia in the 1990s detected with multitemporal Landsat MSS imagery, Landscape and Urban Planning 41 (1998) 193-201.
43. Prince S.D., Satellite remote sensing of primary production: comparison of results for Sahelian grasslands 1981-1988, Int. J. Remote Sens. 12 (1991) 1301-1311.
44. Puyou-Lascassies P., Flouzat G., Gay M., Vignolles C., Validation of the use of Multiple Linear Regression as a Tool for Unmixing Coarse Spatial Resolution Images, Remote Sens. Environ. 49 (1994) 155-166.
45. Rahman H., Dedieu G., SMAC: A Simplified Method for the Atmospheric Correction of Satellite Measurements in the Solar Spectrum, Int. J. Remote Sens. 15 (1994) 123-143.
46. Richardson A.J., Wiegand C.L., Distinguishing vegetation from soil background information, Photogramm. Eng. Remote Sens. 43 (1977) 1541-1552.
47. Riedo M., Grub A., Rosset M., Fuhrer J., A pasture simulation model for dry matter production, and fluxes of carbon, nitrogen, water and energy, Ecol. Model. 105 (1998) 141-183.
48. Rouse J.W., Haas R.W., Schell J.A., Deering D.W., Harlan J.C., Monitoring the vernal advancement and retrogradation (Greenwave effect) of natural vegetation. NASA/GSFCT Type III Final Report, Greenbelt, MD, USA, 1974.
49. Ruget F., Delécolle R., Tiers N., Rabaud V., Duru M., Gastal F., Donet I., Estimating alarm situations on grassland production at regional scale, 7th ICCTA, Computer Technology in Agricultural management and risk prevention, Firenze, Italia, 15-18 November 1998, abstract, 130 p.
50. Ruget F., Duru M., Gastal F., Adaptation of an annual crop model (STICS) to a perennial crop: grassland, International symposium modeling cropping systems, 21 June 1999, Lleida, Spain, pp. 111-112.
51. Ruget F., Delécolle R., Le Bas C., Duru M., Bonneviale N., Rabaud V., Donet I., Pérarnaud V., Paniagua S., L'estimation régionale des productions fourragères, Colloque Ager-Mia, 31 August 2000, in: Modélisation des agroécosystèmes et aide à la décision, Cirad-INRA (Ed.), Montpellier, Collection Repères, Malézieux, Trébuil, Jaeger Ed., pp. 263-282.
52. Running S.W., Nemani R.R., Relating seasonal patterns of the AVHRR vegetation index to simulated photosynthesis and transpiration of forests in different climates, Remote Sens. Environ. 24 (1988) 347-367.
53. Running S.W., Estimating Terrestrial Primary Productivity by Combining Remote Sensing and Ecosystem Simulation, in: Remote Sensing of Biosphere Functioning, Hobbs R.H., Mooney H.A. (Eds.), 1990, Chap. 4.
54. Sala O.E., Parton W.J., Joyce L.A., Lauenroth W.K., Primary Production of the central grassland region of the United States, Ecology 69 (1988) 40-45.
55. Salami A.T., Vegetation dynamics on the fringes of lowland humid tropical rainforest of south-western Nigeria-an assessment of environmental change with air photos and Landsat TM, Int. J. Remote Sens. 20 ( 1999) 1169-1181.
56. Saugier B., Ripley E.A., Lueke P., Modelling: VIII. A mechanistic model of plant growth and water use for the Matador grassland. Technical Report, Matador Project, University of Saskatchewan, 1974, No. 65, 96 p.
57. Seguin B., NOAA/AVHRR data for crop monitoring at a regional level: Possibilities and limits in the European Context. EARSel Advances, Remote Sens. 2 (1993) 87-93.
58. Sellers P.J., Canopy reflectance, photosynthesis and transpiration, Int. J. Remote Sens. 6 (1985) 1335-1372.
59. Sellers P.J., Canopy reflectance, photosynthesis and transpiration. II. The role of biophysics in the linearity of their interdependence, Remote Sens. Environ. 21 (1987) 143-183.
60. Sellers P.J., Berry J.A., Collatz C.B., 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 Sens. Environ. 42 (1992) 187-216.
61. Sims P., Singh J.S., Lauenroth W.K., The structure and function of ten western North American grassland, J. Ecol. 66 (1978) 251-285.
62. Thornley J.H.M., Cannell M.G.R., Temperate grassland responses to climate change: an analysis using the Hurley pasture model, Ann. Bot. 80 (1997) 205-221.
63. Tucker C.J., Vanpraiet C.L., Sharman M.J., Van Ittersum G., Satellite remote sensing of total herbaceous biomass production in the Senegalese Sahel, Remote Sens. Environ. 17 (1985) 233-249.
64. Varlet-Grancher C., Bonhomme R., Chartier M., Artis P., Efficience de la conversion energetique de l'energie solaire par un couvert vegetal, Acta Oecol. Oecol. Plant. 3 (1982) 3-26.
65. Wiegand C.L., Richardson A.J., Nixon P.R., Spectral components analysis: A bridge between spectral observations and agrometeorological crop models, IEEE Trans. Geosci. Remote Sens. 24 (1986) 83-89.