Assessing the potentialities of FORMOSAT-2 data for water and crop monitoring at small regional scale in South-Eastern France

Sensors

Volumn 8, Issue 5, 2008, Pages 3460-3481

  Courault, Dominique ^a   Bsaibes, Aline ^a   Kpemlie, Emmanuel ^a   Hadria, Rachid ^a   Hagolle, Olivier ^b   Marloie, Olivier ^a   Hanocq, Jean F ^a   Olioso, Albert ^a   Bertrand, Nadine ^a   Desfonds, Véronique ^a  

^a UAPV   (France)

^b CESBIO   (France)

Author keywords

Albedo; Crop monitoring; Evapotranspiration; FORMOSAT 2; LAI; Surface temperature

Indexed keywords

ALBEDO; CROP MONITORING; FORMOSAT-2; LAI; SURFACE TEMPERATURES;

ATMOSPHERIC TEMPERATURE; ENERGY TRANSFER; EVAPOTRANSPIRATION; PLANTS (BOTANY); WATER SUPPLY;

CROPS;

EID: 44649111887     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s8053460     Document Type: Article

References (55)

1. Timmermans, W.; Bertoli, G.; Alberson, J.; Olioso, A.; Su, A.; Gieske, A. Accounting for atmospheric boundary layer variability on flux estimation from RS estimation. Int. J. Remote Sens., in press, 2008.
2. Mouret, J.C. Les potentialités agroclimatiques et la place du riz dans la dynamique d'évolution des systèmes de culture en Camargue. INRA Eds., http://museum.agropolis.fr/pages/savoirs/camargue/mouret.pdf, 2004, pp 8.
3. Kustas, W.P.; Norman, J.M. Use of remote sensing for evapotranspiration monitoring over land surfaces. Hydrol. Sciences J. 1996, 41, 495-516.
4. Dedieu, G.; Karnieli, A.; Hagolle, O.; Jeanjean, H.; Cabot, F.; Ferrier, P. VENCS: A joint Israel-French earth observation, scientific mission with high spatial and temporal resolution capabilities, Second Recent Advances. In Quantitative Remote Sensing Symposium, 2006, Torrent, 25-29 September.
5. Brutsaert, W. Evaporation into the atmosphere. D. Reidel, Boston, 1982, pp 299.
6. Weiss, M.; Baret, F.; Smith, G.J.; Jonckheere, I. Methods for in situ leaf area index measurement, part JJ: from gap fraction to leaf area index: retrieval methods and sampling strategies. Agric. Forest Meteorol 2004, 121, 17-53.
7. Koetz, B.; Baret, F.; Poilve, H.; Hill, J. Use of coupled canopy structure dynamic and radiative transfer models to estimate biophysical canopy characteristics. Remote Sens. Environ. 2005, 95, 115-124.
8. Baillarin, S.; Gleyzes, J.P.; Latry, C.; Bouillon, A.; Breton, E.; Cunin, L.; Vesco, C.; Delvit, J.M. Validation of an automatic image orthorectification processing. IGARSS's proceedings, 20-24 Sept., 2004, 2, 1398- 1401, ISBN: 0-7803-8742-2.
9. Hagolle, O.; Dedieu, G.; Mougenot, B.; Debaeker, V.; Duchemin, B.; Meygret, A. Correction of aerosol effects on multitemporal images acquired with constant viewing angles: Application to Formosat-2 images. Remote Sens. Environ. 2008, 4 (112), 1689-1701.
10. Anderson, G.; Berk, A.; Acharya, P.; Matthew, M.; Bernstein, L.; Chetwynd, J.; Dothe, H.; Adler-Golden, S.; Ratkowski, A.; Felde, G.; Gardner, J.; Hoke, M.; Richtsmeier, S.; Pukali, B.; Mello, J.; Jeong, L. MODTRAN 4.0: radiative transfer modeling for remote sensing. In Algorithms for multispectral, hyperspectral and ultraspectral imagery VI: Proceedings of SPIE 2000, 176-183.
11. Gillespie, A.R.; Rokugawa, S.; Matsunaga, T.; Cothern, S.; Hook, S.J.; Kahle, A.B. A temperature and emissivity separation algorithm for Advanced Spaceborne Thermal Emission and Reflection radiometer (ASTER) images. IEEE Trans. Geosci. Remote Sens. 1998, 36, 113-126.
12. Bastiaanssen, W.G.M.; Menenti, M.; Feddes, R.A.; Holtslag, A.A.M.A. Remote sensing surface energy balance algorithm for land (SEBAL) -1. Formulation. J. Hydrology 1998, 213, 198-212.
13. Brunet, Y.; Nunez, M.; Lagouarde, J.P. A simple method for estimating regional evapotranspiration from infrared surface-temperature data, ISPR. J. Photogrammetry Remote Sens. 1991, 46, 311-327.
14. Jacob, F.; Olioso, A.; Gu, X.; Su, B.; Seguin, B. Mapping surface fluxes using airborne visible, near infrared, thermal infrared remote sensing data and a spatialized surface energy balance model. Agronomie 2002, 669-680.
15. Droogers, P.; Bastiaanssen, W.G.M. Irrigation performance using hydrological and remote sensing modeling. J. of Irr. Drainage Engineering ASCE 2002, 128, 11-18.
16. Allen, R.G.; Tasumi, M.; Morse, A.; Trezza, R. A Landsat-based energy balance and evapotranspiration model in Western US water rights regulation and planning, Irrig. Drainage Systems 2005, 19, 251-268.
17. Combal, B.; Baret, F.; Weiss, M.; Trubuil, A.; Macé, D.; Pragnère, A.; Myneni, R.B.; Knyazikhin, Y.; Wang, L. Retrieval of canopy biophysical variables from bi-directional reflectance. Using prior information to solve the ill-posed inverse problem. Remote Sens. Environ. 2002, 84, 1-15.
18. Tennekes, H.; Driedonks, A.G.M. Basic entertainment equations for the atmospheric boundary layer. Bound. Layer Meteorol. 1981, 20, 515-531.
19. Jacquemin, B.; Noilhan, J. Sensitivity study and validation of land surface parametrization using the Hapex-Mobilhy data set. Bound. Layer Meteorol. 1990, 52, 93-134.
20. Kpemlie, E.; Courault, D.; Buis, S.; Olioso, A.; Bsaibes, A. Data assimilation using remote sensing data into SVAT model for mapping evapotranspiration and microclimate. Continental Biosphere Vegetation and Water Cycle: Analyses and Prospects. 27-30 Aug, 2007, Paris, pp 4.
21. Courault, D.; Lagouarde, J.P.; Aloui, B. Evaporation for maritime catchment combining a meteorological model with vegetation information and airborne surface temperatures. Agric. Forest Meteorol. 1996, 82, 93-117.
22. Carlson, T. An Overview of the Triangle Method for Estimating Surface Evapotranspiration and Soil Moisture from Satellite Imagery. Sensors 2007, 7, 1612-1629.
23. Courault, D.; Seguin, B.; Olioso, A. Review about estimation of evapotranspiration from remote sensing data: from empirical to numerical modeling approach. Irrig. Drainage systems 2005, 19, 223-249.
24. Olioso, A.; Lnoue, Y.; Ortega-Farias, S.; Demarty, J.; Wigneron, J.P.; Braud, I.; Jacob, F.; Lecharpentier, P.; Ottlé, C.; Calvet, J.-C.; Brisson, N. Future directions for advanced evapotranspiration modeling: assimilation of remote sensing data into crop simulation models and SVAT models. Irrig. Drainage Systems 2005, 19, 377-412.
25. Baret, F.; Buis, S. Estimating canopy characteristics from remote sensing observations. Review of methods and associated problems. 9th ISPRS symposium, Beijing, September 2005, In press in Remote Sens. Environ., Eds. Springer. 2008.
26. Asrar, G.; Fuchs, M.; Kanemasu, E.T.; Hatfield, J.L. Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat. Agronomy J. 1984, 76, 300-306.
27. Wilson, T.B.; Meyers, T.P. Determining vegetation indices from solar and photosynthetically active radiation fluxes. Agric. Forest Meteorol. 2007, 144 (3-4), 160-179.
28. Francois, C.; Ottlé, C.; Prévot, L. Analytical parameterization of canopy directional emissivity and directional radiance in the thermal infrared. Application on the retrieval of soil and foliage temperatures using two directional measurements. Int J. Remote Sens. 1997, 18, 2587-2621.
29. Wanner, W.; Strahler, A.; Hu, B.; Lewis, P.; Muller, J.P.; Li, X.; Barker-Schaaf, C.; Barnsley, M. Global retrieval of bidirectional reflectance and albedo over land from EOS MODIS and MISR data: theory and algorithm. J. Geophys. Research 1997, 102 (D14), 17143-17161.
30. Verhoef, W. Light scattering by leaf layers with application to canopy reflectance modeling: The SALL model. Remote Sens. Environ. 1984, 16, 125-141.
31. Bacour, C.; Jacquemoud, S.; Leroy, M.; Hautecoeur, O.; Weiss, M.; Prevot, L.; Bruguier, N.; Chauki, H. Reliability of the estimation of vegetation characteristics by inversion of three canopy reflectance models on airborne POLDER data. Agronomie 2002, 22, 555-565.
32. Jacob, F.; Weiss, M.; Olioso, A.; French, A. Assessing the narrowband to broadband conversion to estimate visible, near infrared and shortwave apparent albedo from airborne PoIDER data. Agronomie 2002, 22, 537-546.
33. Weiss, M.; Baret, F. Evaluation of canopy biophysical variable retrieval performances from the accumulation of large swath satellite data. Remote Sens. Environ. 1999, 70, 293-306.
34. Jacob, F.; Schmugge, T.; Olioso, A.; French, A.N.; Courault; D.; Ogawa, K.; PetitColin, F.; Chehbouni, G.; Pinhero, A.; Privette, G. Modeling and inversion in thermal infrared remotesensing over vegetated land surface. In press in Remote Sens. Environ., Eds. Springer. 2008, 243295.
35. Weiss, M.; Baret, F. Validation of neutral techniques to estimate canopy biophysical variables from remote sensing data. Agronomie 2002, 22, 133-158
36. Horst, T.W.; Weil, J.C. How far is far enough? The fetch requirements for micrometeorological measurement of surface fluxes. J. Atmos. Oceanic Tech. 1994, 11, 1018-1025.
37. Courault, D.; Jacob, F.; Benoit, B.; Weiss, M.; Marloie, O.; Hanocq, JF.; Fillol, E.; Olioso, O.; Dedieu, G.; Gouaux, P.; Gay, M.; French, A.N. Influence of agricultural practices on micrometerological spatial variations at local and regional scales, 2008, in press in Int. J. Remote Sens.
38. Kustas, W.P.; Norman, J.; Anderson, M.C.; French, A.N. Estimating subpixel surface temperatures and energy fluxes from the vegetation index radiometric temperature relationship. Remote Sens. Environ. 2003, 85, 429-440.
39. Anderson, M.C.; Kustas, W.P.; Norman, J.M. Upscaling and Downscaling: A regional view of the Soil-Plant-Atmosphere Continuum. Agron. J. 2003, 95, 1408-1423.
40. Coudert, B.; Ottlé, C.; Boudevillain, B.; Guérin, C. Use of geostationary satellite thermal infrared data to monitor surface exchanges at local scale over heterogeneous landscape: Application to Meteosat 8 data. 2008, In press in Int. J Remote Sens.
41. Martimort, P. Sentinel-2 - the optical high-resolution mission for GMES operational services. ESA Bulletin 2007, 131, 18-23.
42. Efron, B.; Tibshirani, R.J. An Introduction to the Bootstrap, London: Chapman & Hall., 1993.
43. Hjorth, J.S.U. Computer Intensive Statistical Methods Validation, Model Selection, and Bootstrap, London: Chapman Hall., 1994, pp.
44. Efron, B.; Tibshirani, R.J. "Improvements on cross-validation: The .632+ bootstrap method" J. of the American Statistical Association 1997, 92, 548-560.
45. Timmermans, W.; Kustas, W.P.; Anderson, M.C.; French, A.N. An intercomparaison of the Surface Energy Balance Algorithm for Land (SEBAL) and the Two-Source Energy Balance (TSEB) modeling schemes. Remote Sens. Environ. 2007, 108, 369-384.
46. Merlin, O.; Chehbouni, A. Different approaches in estimating heat flux using dual angle observations of radiative surface temperature. Int J. Remote Sens. 2004, 25, 275-289.
47. Kustas, W.P. Estimates of evapotranspiration within a one-and two layer model of heat transfer over partial vegetation cover. J. Applied Meteorol. 1990, 29, 704-715.
48. Norman JM.; Becker F. Terminology in infrared remote sensing of natural surfaces. Remote Sens. Reviews 1995, 12, 159-173.
49. Ament, F.; Simmer, C. Improved representation of land-surface heterogeneity in a non-hydrostatic numerical weather prediction model. Bound. Layer Meteorol. 2006, 121, 1, 153-174.
50. Brisson, N. Special Issue "Crop model STICS (Simulatuer mulTIdisciplinaire pour les Cultures Standard)". Agronomie 2004, 24, 295-444.
51. Bsaibes, A.; Courault, D.; Baret, F.; Weiss, M.; Olioso, A.; Jacob, F.; Hagolle, O.; Marloie, O.; Bertrand, N.; Desfond, V.; Kzemipour, F. Albedo and LAI estimates from FORMOSAT-2 data for crop monitoring. 2008, submitted to Remote Sens. Environ.
52. Bastiaanssen, W.G.M.; Harshadeep, N.R. Managing scarce water resources in Asia: The nature of the problem and can remote sensing help? Irr. and Drainage systems 2005, 131, 85-93.
53. Norman, J.M.; Anderson, M.C.; Kustas, W.P. Are single source, Remote Surface-flux models too simple? ALP conference Proceedings of int conf on earth observation for vegetation monitoring and water management, 10-11 November 2005, Napoli, Italy, Eds D'Urso and Moreno, 2005, 852, 170-177.
54. Courault, D.; Olioso, A.; Lagouarde, J.P.; Monestiez, P.; Allard, D. Influence des cultures sur les variables climatiques. ECOSPACE, AIP Organisation spatiale des activités agricoles et processus environnementaux. P. Monestiez, S. Lardon, B. Seguin Eds, Collection Science Update, INRA Editions, Paris, 2004, 303-320.
55. Seguin, B.; Becker, F.; Phulpin, T.; Gu, X.; Guyot, G.; Kerr, Y.; King, C.; Lagouarde, J.P.; Ottlé, C.; Stoll, M.; Tabbagh, T.; Vidal, A. IRSUTE: A minisatellite project for land surface heat flux estimation from field to regional scale. Remote Sens. Environ. 1999, 68, 357-369.