Combined use of FORMOSAT-2 images with a crop model for biomass and water monitoring of permanent grassland in Mediterranean region

Hydrology and Earth System Sciences

Volumn 14, Issue 9, 2010, Pages 1731-1744

  Courault, D ^a   Hadria, R ^a   Ruget, F ^a   Olioso, A ^a   Duchemin, B ^b   Hagolle, O ^b   Dedieu, G ^b  

^a UAPV   (France)

^b CESBIO   (France)

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURAL PRACTICES; BIOMASS PRODUCTIONS; CROP MODEL; CROP YIELD; FARM SCALE; GROUND MEASUREMENTS; HIGH QUALITY; LANDSCAPE SCALE; LEAF AREA INDEX; MEDITERRANEAN REGION; OPTICAL REMOTE SENSING DATA; PERMANENT GRASSLAND; SIMPLE ALGORITHM; SPATIAL VARIABILITY; SPATIO-TEMPORAL RESOLUTION; WATER BALANCE; WATER BUDGET; WATER MONITORING; WATER REQUIREMENTS; WATER SCARCITY;

ESTIMATION; PRODUCTION; REMOTE SENSING; SURVEYS; WATER MANAGEMENT; WATER SUPPLY;

CROPS;

AGRICULTURAL MANAGEMENT; AGRICULTURAL PRACTICE; BIOMASS; EVAPOTRANSPIRATION; FORMOSAT-2; GRASSLAND; LEAF AREA INDEX; REMOTE SENSING; SATELLITE DATA; SATELLITE IMAGERY; SPATIAL VARIATION; WATER BUDGET; WATER MANAGEMENT;

FRANCE; MEDITERRANEAN REGION;

EID: 77956502779     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-14-1731-2010     Document Type: Article

References (42)

1. Baillarin, S., Gleyzes, J. P., Latry, C., Bouillon, A., Breton, E., Cunin, L., Vesco, C., and Delvit, J. M: Validation of an automatic image orthorectification processing. IGARSS's Proceedings, 20-24 September 2004, 2, 1398-1401, ISBN1390-7803-8742-1392, 2004.
2. Baret, F. and Guerif, M.: Remote detection and quantification of plant stress: opportunities remote sensing observations, Comparative Biochemistry and Physiology a-Molecular & Integrative Physiology, 143, S148-S148, 2006.
3. Baret, F., Hagolle, O., Geiger, B., Bicheron, P., Miras, B., Huc, M., Berthelot, B., Nino, F., Weiss, M., Samain, O., Roujean, J. L., and Leroy, M.: LAI, fAPAR and fCover CYCLOPES global products derived from VEGETATION-Part 1: Principles of the algorithm, Remote Sens. Environ., 110, 275-286, doi:10.1016/j.rse.2007.02.018, 2007. (Pubitemid 47299238)
4. Barrett, P. D., Laidlaw, A. S., and Mayne, C. S.: GrazeGro: a European herbage growth model to predict pasture production in perennial ryegrass swards for decision support, Eur. J. Agronomy, 23, 37-56, 2005.
5. Bergez, J. E., Deumier, J. M., Lacroix, B., Leroy, P., and Wallach, D.: Improving irrigation schedules by using a biophysical and a decisional model, Eur. J. Agronomy, 16, 123-135, 2002.
6. Brisson, N., Mary, B., Ripoche, D., Jeuffroy, M. H., Ruget, F., Nicoullaud, B., Gate, P., Devienne-Barret, F., Antonioletti, R., Durr, C., Richard, G., Beaudoin, N., Recous, S., Tayot, X., Plenet, D., Cellier, P., Machet, J. M., Meynard, J. M., and Delecolle, R.: STICS: a generic model for the simulation of crops and their water and nitrogen balances. I. Theory and parameterization applied to wheat and corn, Agronomie, 18, 311-346, 1998.
7. Brisson, N., Gary, C., Justes, E., Roche, R., Mary, B., Ripoche, D., Zimmer, D., Sierra, J., Bertuzzi, P., Burger, P., Bussiere, F., Cabidoche, Y. M., Cellier, P., Debaeke, P., Gaudillere, J. P., Henault, C., Maraux, F., Seguin, B., and Sinoquet, H.: An overview of the crop model STICS, Eur. J. Agronomy, 18, 309-332, 2003.
8. Bsaibes, A., Courault, D., Baret, F., Weiss, M., Olioso, A., Jacob, F., Hagolle, O., Marloie, O., Bertrand, N., Desfond, V., and Kzemipour, F.: Albedo and LAI estimates from FORMOSAT-2 data for crop monitoring, Remote Sens. Environ., 113, 716-729, doi:10.1016/j.rse.2008.11.014, 2009.
9. Chern, J. S., Wua, M., and Lin, S: Lesson learned from FORMOSAT-2 mission operations, Acta Astronautica, 59, 344-350, 2006.
10. Combal, B., Baret, F., Weiss, M., Trubuil, A., Mace, D., Prag-nere, A., Myneni, R., Knyazikhin, Y., and Wang, L.: Retrieval of canopy biophysical variables from bidirectional reflectance-Using prior information to solve the ill-posed inverse problem, Remote Sens. Environ., 84, 1-15, 2003.
11. Courault, D., Bsaibes, A., Kpemlie, E., Hadria, R., Hagolle, O., Marloie, O., Hanocq, J. F., Olioso, A., Bertrand, N., and Des-fonds, V.: Assessing the potentialities of FORMOSAT-2 data for water and crop monitoring at small regional scale in South Eastern France, Sensors, 8, 3460-3481, doi:10.3390/s8053460, 2008.
12. Dedieu, G., Karnieli, A., Hagolle, O., Jeanjean, H., Cabot, F. Fer-rier, P. and Yaniv, Y.: VENuS: A joint French-Israel Earth Observation scientific mission with High spatial and temporal resolution capabilities, edited by: Sobrino, J., Second Recent Advances in Quantitative Remote Sensing. Publicacions de la Uni-versitat de València, 25-29 September 2006, Auditori de Torrent, Spain, 517-521, 2006.
13. Di Bella, C., Faivre, R., Ruget, F., Seguin, B., Guerif, M., Combal, B., Weiss, A., and Rebella, C.: Remote sensing capabilities to estimate pasture production in France, Int. J. Remote Sens., 25, 5359-5372, doi:10.1080/ 01431160410001719849, 2004. (Pubitemid 40008576)
14. Di Bella, C., Faivre, R., Ruget, F., and Seguin, B.: Using VEGETATION satellite data and the crop model STICS-Prairie to estimate pasture production at the national level in France, Phys. Chem. Earth, 30, 3-9, doi:10.1016/j.pce.2004.08.018, 2005. (Pubitemid 40180652)
15. Duchemin, B., Hadria, R., Erraki, S., Boulet, G., Maisongrande, P., Chehbouni, A., Escadafal, R., Ezzahar, J., Hoedjes, J. C. B., Kharrou, M. H., Khabba, S., Mougenot, B., Olioso, A., Rodriguez, J. C., and Simonneaux, V.: Monitoring wheat phenology and irrigation in Central Morocco: On the use of relationships between evapotranspiration, crops coefficients, leaf area index and remotely-sensed vegetation indices, Agric. Water Manage., 79, 1-27, doi:10.1016/j.agwat.2005.02.013, 2006. (Pubitemid 41718973)
16. Duru, M., Adam, M., Cruz, P., Martin, G., Ansquer, P., Ducouytieux, C., Jouany, C., Theau, J. P., and Viegas, J.: Modelling above-ground herbage mass for a wide range of grassland community types, Ecol. Model., 220, 209-225, doi:10.1016/j.ecolmodel.2008.09.015, 2009.
17. Evans, J. P.: 21st century climate change in the Middle East, Climatic Change, 92, 417-432, doi:10.1007/s10584-008-9438-5, 2009.
18. Guerif, M., Houles, V., and Baret, F.: Remote sensing and detection of nitrogen status in crops. Application to precise nitrogen fertilization, 4th International Symposium on Intelligent Information Technology in Agriculture, 26-29 October 2007 Beijing China Progress of Information Technology in Agriculture, 593-601, 2007.
19. Hadria, R., Duchemin, B., Lahrouni, A., Khabba, S., Er-Raki, S., Dedieu, G., Chehbouni, A. G., and Olioso, A.: Monitoring of irrigated wheat in a semi-arid climate using crop modelling and remote sensing data: Impact of satellite revisit time frequency, Int. J. Remote Sens., 27, 1093-1117, doi:10.1080/01431160500382980, 2006. (Pubitemid 43832329)
20. Hagolle, O., Dedieu, G., Mougenot, B., Debaecker, V., Duchemin, B., and Meygret, A.: Correction of aerosol effects on multi-temporal images acquired with constant viewing angles: Application to Formosat-2 images, Remote Sens. Environ., 112, 1689-1701, doi:10.1016/j.rse.2007.08.016, 2008. (Pubitemid 351403656)
21. Huete, A., Didan, K., Miura, T., Rodriguez, E. P., Gao, X., Ferreira, L. G.: Overview of the radiometric and biophysical performance of the MODIS vegetation indices, Remote Sens. Environ., 83, 195-213, 2002.
22. Jacob, F., Schmugge, T., Olioso, A., French, A., Courault, D., Ogawa, K., Petitcolin, F., Chehbouni, G., Pinheiro, A., and Privette, J.: Modeling and inversion in thermal infrared remote sensing over vegetated land surfaces, Advances in Land Remote Sensing: System, Modeling, Inversion and Application, 245-291, 9th International Symposium on Physical Measurements and Signatures in Remote Sensing, Oct, 2005 Chinese Acad Sci, Inst Geog Sci & Nat Resource Res Beijing, 2008.
23. Jones, J. W., Hoogenboom, G., Porter, C. H., Boote, K. J., Batche-lor, W. D., Hunt, L. A., Wilkens, P. W., Singh, U., Gijsman, A. J., and Ritchie, J. T.: The DSSAT cropping system model, Eur. J. Agronomy, 18, 235-265, 2003.
24. Jongschaap, R. E. E.: Run-time calibration of simulation models by integrating remote sensing estimates of leaf area index and canopy nitrogen, Eur. J. Agronomy, 24, 316-324, 2006.
25. Launay, M. and Guerif, M.: Assimilating remote sensing data into a crop model to improve predictive performance for spatial applications, Agr. Ecosyst. Environ., 111, 321-339, doi:10.1016/j.agee.2005.06.005, 2005. (Pubitemid 41430312)
26. Launay, M., Brisson, N., Satger, S., Hauggaard-Nielsen, H., Corre-Hellou, G., Kasynova, E., Ruske, R., Jensen, E. S., and Gooding, M. J.: Exploring options for managing strategies for pea-barley intercropping using a modeling approach, Eur. J. Agronomy, 31, 85-98, doi:10.1016/j.eja.2009.04.002, 2009.
27. Mailhol, J. C. and Merot, A.: SPFC: a tool to improve water management and hay production in the Crau region, Irrig. Sci., 26, 289-302, doi:10.1007/s00271-007-0099-3, 2008.
28. Martimort, P., Berger, M., Carnicero, B., Del Bello, U., Fernandez, V., Gascon, F., Silvestrin, P., Spoto, F., Sy, O., Arino, O., Biasutti, R., Greco, B: Sentinel-2-the optical high-resolution mission for GMES operational services, ISSN: 03764265, ESA Bulletin, 131, 18-23, 2007.
29. Merot, A., Bergez, J. E., Capillon, A., and Wery, J.: Analysing farming practices to develop a numerical, operational model of farmers' decision-making processes: An irrigated hay cropping system in France, Agric. Syst., 98, 108-118, doi:10.1016/j.agsy.2008.05.001, 2008a.
30. Merot, A., Wery, J., Isberie, C., and Charron, F.: Response of a plurispecific permanent grassland to border irrigation regulated by tensiometers, Eur. J. Agronomy, 28, 8-18, doi:10.1016/j.eja.2007.04.004, 2008b. (Pubitemid 350027769)
31. Olioso, A., Inoue, Y., Ortega-Farias, S., Demarty, J., Wigneron, J. P., Braud, I., Jacob, F., Lecharpentier, P., Ottle, C., Calvet, J. C., and Brisson, N.: Future directions for advanced evapotranspi-ration modeling: assimilation of remote sensing data into crop simulation models and SVAT models, Irrig. Drainage Syst., 19, 377-412, 2005.
32. Pogacar, T. and Kajfez-Bogataj, L.: WOFOST: crop growth simulation model-1st part, Acta Agriculturae Slovenica, 93, 231-243, 2009.
33. Ruget, F., Levrault, F., Tayot, X., Ripoche, D., and Ngueye, S.: Estimation of the water requirements of maize crops: regional or plot application, Vers une maitrise des impacts environnementaux de l'irrigation, Actes de l'atelier du PCSI, Montpellier, France, 28-29 May 2002, 32, 10 pp., 2002.
34. Ruget, F., Novak, S., Granger, S.: Du modèle STICS au système ISOP pour estimer la production fourragère. Adaptation à la prairie, application spatialisée, Fourrages, 186, 241-256, 2006.
35. Ruget, F., Abdessemed, A., and Moreau, J. C.: Impact of global climate change scenarios on alfalfa production in France, Biodiversity and animal feed: future challenges for grassland production. Proceedings of the 22nd General Meeting of the European Grassland Federation, Uppsala, Sweden, 9-12 June 2008, 745-747, 2008.
36. Ruget, F., Satger, S., Volaire, F., and Lelievre, F.: Modeling Tiller Density, Growth, and Yield of Mediterranean Perennial Grasslands with STICS, Crop Science, 49, 2379-2385, doi:10.2135/cropsci2009.06.0323, 2009.
37. Schapendonk, A. H. C. M., Stol, W., van Kraalingen, D. W. G., and Bouman, B. A. M.: LINGRA, a sink/source model to simulate grassland productivity in Europe, Eur. J. Agronomy, 9, 87-100, 1998.
38. Todisco, F. and Vergni, L.: Climatic changes in Central Italy and their potential effects on corn water consumption, Agr. Forest Meteorol., 148, 1-11, doi:10.1016/j.agrformet.2007.08.014, 2008. (Pubitemid 350297475)
39. Varella, H., Guerif, M., and Buis, S.: Global sensitivity analysis measures the quality of parameter estimation: The case of soil parameters and a crop model, Environ. Modell. Softw., 25, 310-319, doi:10.1016/j.envsoft.2010.09. 012, 2010.
40. Weiss, M., Baret, F., Leroy, M., Hautecoeur, O., Bacour, C., Pre-vot, L., and Bruguier, N.: Validation of neural net techniques to estimate canopy biophysical variables from remote sensing data, Agronomie, 22, 547-553, doi:10.1051/agro:2002036, 2002.
41. Weiss, M., Baret, F., Smith, G. J., Jonckheere, I., and Coppin, P.: Review of methods for in situ leaf area index (LAI) determination Part II. Estimation of LAI, errors and sampling, Agr. Forest Meteorol., 121, 37-53, doi:10.1016/j.agrformet.2003.08.001, 2004. (Pubitemid 38086339)
42. Wigneron, J. P., Calvet, J. C., Olioso, A., Chanzy, A., and Bertuzzi, P.: Estimating the root-zone soil moisture from the combined use of time series of surface soil moisture and SVAT modelling, Phys. Chem. Earth B, 24, 837-843, 1999.