Improved simulation of soil water content by the combination of ground and remote sensing data

European Journal of Remote Sensing

Volumn 47, Issue 1, 2014, Pages 739-751

  Gardin, Lorenzo ^a   Battista, Piero ^a   Bottai, Lorenzo ^b   Chiesi, Marta ^a   Fibbi, Luca ^a   Rapi, Bernardo ^a   Romani, Maurizio ^a   Gozzini, Bernardo ^b   Maselli, Fabio ^a  

^a INSTITUTE OF BIOMETEOROLOGY   (Italy)

^b LaMMA Consortium   (Italy)

Author keywords

Crop coefficient; FAO56; MODIS; NDVI; WinEtro

Indexed keywords

CROPS; DIGITAL STORAGE; SOIL MOISTURE;

CROP COEFFICIENT; FAO56; MODIS; NDVI; WINETRO;

REMOTE SENSING;

EVAPOTRANSPIRATION; FOREST ECOSYSTEM; GROUND-BASED MEASUREMENT; NDVI; REMOTE SENSING; SIMULATION; SOIL WATER; SPATIOTEMPORAL ANALYSIS; WATER BUDGET;

ITALY; TUSCANY;

EID: 84922021633     PISSN: None     EISSN: 22797254     Source Type: Journal    
DOI: 10.5721/EuJRS20144742     Document Type: Article

References (31)

1. Allen R. G., Pereira L. S., Raes D., Smith M. (1998) Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56. FAO, Food and Agriculture Organization of the United Nations, Rome, 300 pp.
2. Battista P., Rapi B., Rocchi L. (2003) WinEtro: Un logiciel pour l'estimation des besoins en eau des cultures. In: Manuel technique du Système Agrométéorologique, El Ouali M. A., Maracchi G., Di Vecchia A., Bacci L. (Eds.), Project d'Appui à la Direction de la Météorologie Nationale du Maro, pp. 236-274.
3. Braden H. (1985) Ein Energiehaushalts und Verdunstungsmodell für Wasser und Stoffhaushaltsuntersuchungen landwirtschaftlich genutzter Einzugsgebiete. Mittelungen Deutsche Bodenkundliche Geselschaft, 42 (S): 294-299.
4. Chiesi M., Maselli F., Moriondo M., Fibbi L., Bindi M., Running S. W. (2007) Application of BIOME-BGC to simulate Mediterranean forest processes. Ecological Modelling, 206: 179-190. doi: http://dx. doi. org/10. 1016/j. ecolmodel. 2007. 03. 032.
5. Chiesi M., Rapi B., Battista P., Fibbi L., Gozzini B., Magno R., Raschi A., Maselli F. (2013) Combination of ground and satellite data for the operational estimation of daily evapotranspiration. European Journal of Remote Sensing, 46: 675-688. doi: http://dx. doi. org/10. 5721/EuJRS20134639.
6. Courault D., Seguin B., Olioso A. (2005) Review on estimation of evapotranspiration from remote sensing data: From empirical to numerical modeling approaches. Irrigation and Drainage Systems, 19: 223-249. doi: http://dx. doi. org/10. 1007/s10795-005-5186-0.
7. Gardin L., Vinci A. (2006) Carta dei suoli della Regione Toscana in scala 1: 250. 000. Available on line at: http://sit. lamma. rete. toscana. it/websuoli/. Last access on 13 November 2014.
8. Glenn E. P., Nagler P. L., Huete A. R. (2010) Vegetation index methods for estimating evapotranspiration by remote sensing. Surveys in Geophysics, 31: 531-555. doi: http://dx. doi. org/10. 1007/s10712-010-9102-2.
9. Gutman G., Ignatov A. (1998) The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models. International Journal of Remote Sensing, 19 (8): 1533-1543. doi: http://dx. doi. org/10. 1080/014311698215333.
10. Haylock M. R., Hofstra N., Klein Tank A. M. G., Klok E. J., Jones P. D., New M. (2008) A European daily high-resolution gridded dataset of surface temperature and precipitation. Journal of Geophysical Research (Atmospheres), 113: D20119. doi: http://dx. doi. org/10. 1029/2008JD010201.
11. Hewitt A. E. (1993) Predictive modelling in soil survey. Soils and Fertilizers, 56: 305-314.
12. Ilvesniemi H., Punpanem J., Duursma R., Hari P., Keronen P., Kolari P., Kulmala M., Mammarella I., Nikinmaa E., Rannik U., Pohja T., Silvola E., Vesal T. (2010) Water balance of a boreal Scots pine forest. Boreal Environmental Research, 15: 375-396.
13. ISPRA (2010) La realizzazione in Italia del Progetto Corine Land Cover 2006. Istituto Superiore per la Protezione e la Ricerca Ambientale, 131, 50 pp.
14. Jensen M. E., Haise H. R. (1963) Estimating evapotranspiration from solar radiation. Journal of the Irrigation and Drainage Division ASCE, 89: 15-41.
15. Maselli F., Papale D., Puletti N., Chirici G., Corona P. (2009) Combining remote sensing and ancillary data to monitor the gross productivity of water-limited forest ecosystems. Remote Sensing of Environment, 113: 657-667. doi: http://dx. doi. org/10. 1016/j. rse. 2008. 11. 008.
16. Maselli F. (2012) A method to improve the spatial features of NDVI data series. European Journal of Remote Sensing, 45: 407-420. doi: http://dx. doi. org/10. 5721/EuJRS20124534.
17. Maselli F., Papale D., Chiesi M., Matteucci G., Angeli L., Raschi A., Seufert G. (2014) Operational monitoring of daily evapotranspiration by the combination of MODIS NDVI and ground meteorological data: Application and evaluation in Central Italy. Remote Sensing of Environment, 152: 279-290. doi: http://dx. doi. org/10. 1016/j. rse. 2014. 06. 021.
18. MiPAAF (1999) Official methods of soil chemical analysis. Gazzetta Ufficiale Supplemento Ordinario 248, Istituto Poligrafico e Zecca dello Stato, Rome, Italy.
19. Rocha J., Perdigao A., Melo R., Henriques C. (2012) Remote sensing based crop coefficients for water management in agriculture. In: Sustainable Development-Authoritative and Leading Edge Content for Environmental Management, Sime Curkovic (Eds.). doi: http: \\dx. doi. org\10. 5772/48561.
20. Salerni E., Iotti M., Leonardi P., Gardin L., D'Aguanno M., Perini C., Pacioni P., Zambonelli A. (2013) Effects of soil tillage on Tuber magnatum development in natural truffières. Mycorrhiza, Springer. doi: http://dx. doi. org/10. 1007/s00572-013-0543-6.
21. Schaap M., Leij F. J., van Genuchten M. T. (2001) Rosetta: a computer program for estimating soil hydraulic parameters with hierarchical pedotransfer functions. Journal of Hydrology, 251: 163-176. doi: http://dx. doi. org/10. 1016/S0022-1694(01)00466-8.
22. Senay G. B. (2008) Modeling landscape evapotranspiration by integrating land surface phenology and a water balance algorithm. Algorithms, 1: 52-68. doi: http://dx. doi. org/10. 3390/a1020052.
23. Senay G. B., Bohms S., Verdin J. P. (2012) Remote sensing of evapotranspiration for operational drought monitoring using principles of water and energy balance. In: Remote sensing of drought: innovative monitoring approaches, Wardlow B. D., Anderson M. C., Verdin J. P., Taylor and Francis Group (Eds.), pp. 123-144.
24. Soil Survey Staff (2014) Keys to soil taxonomy. 12th ed. USDA-Natural Resources Conservation Service, Washington, DC.
25. Thornton P. E., Running S. W., White M. A. (1997) Generating surfaces of daily meteorological variables over large regions of complex terrain. Journal of Hydrology, 190: 214-251. doi: http://dx. doi. org/10. 1016/S0022-1694(96)03128-9.
26. Thornton P. E., Hasenauer H., White M. A. (2000) Simultaneous estimation of daily solar radiation and humidity from observed temperature and precipitation: an application over complex terrain in Austria. Agricultural and Forest Meteorology, 104: 255-271. doi: http://dx. doi. org/10. 1016/S0168-1923(00)00170-2.
27. USDA Soil Conservation Service (1972) National engeneering handbook. Section 4 Hydrology, Chapters 4-10.
28. Van Dam J. C., Groenendijk P., Hendriks R. F. A., Kroes J. G. (2008) Advances of modeling water flow in variably saturated soils with SWAP. Vadose Zone Journal, 7 (2): 640-653. doi: http://dx. doi. org/10. 2136/vzj2007. 0060.
29. Von Hoyningen-Hüne J. (1983) Die Interception des Niederschlags in landwirtschaftlichen Beständen. Schriftenreihe des DVWK, 57: 1-53.
30. Wischmeier W. H., Smith D. D. (1978) Predicting rainfall erosion losses: a guide to conservation planning. USDA Agricultural Handbook, 537, U. S. Gov. Print Office, Washington D. C.
31. Zhang L., Walker G. R., Dawes W. R. (2002) Water balance modelling: concepts and applications. In: Regional Water and Soil Assessment for Managing Sustainable Agriculture in China and Australia. McVicar T. R., Li Rui, Walker J., Fitzpatrick R. W., Liu Changming (Eds). ACIAR Monograph, 84: 31-47.