Table of Contents Author Guidelines Submit a Manuscript
Corrigendum

A corrigendum for this article has been published. To view the corrigendum, please click here.

Advances in Meteorology
Volume 2017 (2017), Article ID 9314801, 14 pages
https://doi.org/10.1155/2017/9314801
Research Article

Reliability of MODIS Evapotranspiration Products for Heterogeneous Dry Forest: A Study Case of Caatinga

1Laboratório de Sensoriamento Remoto e Geoprocessamento, Universidade Federal de Pernambuco, 50670901 Recife, PE, Brazil
2Empresa Brasileira de Pesquisa Agropecuária, Centro de Pesquisa Agropecuária do Trópico Semi-Árido, 56302970 Petrolina, PE, Brazil
3Spatial Sciences Laboratory, Texas A&M University, College Station, TX 77845, USA

Correspondence should be addressed to Rodrigo de Queiroga Miranda; moc.liamg@adnarimq.ogirdor

Received 23 September 2016; Accepted 29 November 2016; Published 24 January 2017

Academic Editor: Minha Choi

Copyright © 2017 Rodrigo de Queiroga Miranda et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. A. H. D. C. Teixeira, “Determining regional actual evapotranspiration of irrigated crops and natural vegetation in the São Francisco river basin (Brazil) using remote sensing and Penman-Monteith equation,” Remote Sensing, vol. 2, no. 5, pp. 1287–1319, 2010. View at Publisher · View at Google Scholar · View at Scopus
  2. M. Govender, K. Chetty, and H. Bulcock, “A review of hyperspectral remote sensing and its application in vegetation and water resource studies,” Water SA, vol. 33, no. 2, pp. 145–151, 2007. View at Google Scholar · View at Scopus
  3. A. H. D. C. Teixeira, M. Sherer-Warren, H. L. Lopes, F. B. T. Hernandez, R. G. Andrade, and C. M. U. Neale, “Application of MODIS images for modelling the energy balance components in the semi-arid conditions of Brazil,” in Proceedings of the Remote Sensing for Agriculture, Ecosystems, and Hydrology XV, vol. 8887 of Proceedings of SPIE, 2013. View at Publisher · View at Google Scholar
  4. A. H. de C Teixeira, D. C. Victoria, R. G. Andrade, J. F. Leivas, E. L. Bolfe, and C. R. Cruz, “Coupling MODIS images and agrometeorological data for agricultural water productivity analyses in the Mato Grosso State, Brazil,” in Proceedings of the Remote Sensing for Agriculture, Ecosystems, and Hydrology XVI, vol. 9239 of Proceedings of SPIE, September 2014. View at Publisher · View at Google Scholar · View at Scopus
  5. M. Strauch and M. Volk, “SWAT plant growth modification for improved modeling of perennial vegetation in the tropics,” Ecological Modelling, vol. 269, pp. 98–112, 2013. View at Publisher · View at Google Scholar · View at Scopus
  6. R. G. Allen, L. S. Pereira, D. Raes, and M. Smith, Crop Evapotranspiration-Guidelines for Computing Crop Water Requirements-FAO Irrigation and Drainage Paper 56, vol. 300, no. 9, FAO, Rome, Italy, 1998.
  7. Q. Mu, F. A. Heinsch, M. Zhao, and S. W. Running, “Development of a global evapotranspiration algorithm based on MODIS and global meteorology data,” Remote Sensing of Environment, vol. 111, no. 4, pp. 519–536, 2007. View at Publisher · View at Google Scholar · View at Scopus
  8. A. H. C. Teixeira, “Modelling evapotranspiration by remote sensing parameters and agro-meteorological stations,” in Remote Sensing and Hydrology, C. M. U. Neale and M. H. Cosh, Eds., no 352, pp. 154–157, International Association of Hydrological Sciences, Jackson Hole, wyo, USA, 2012. View at Google Scholar
  9. A. L. Ruhoff, A. R. Paz, L. E. O. C. Aragao et al., “Assessment of the MODIS global evapotranspiration algorithm using eddy covariance measurements and hydrological modelling in the Rio Grande basin,” Hydrological Sciences Journal, vol. 58, no. 8, pp. 1658–1676, 2013. View at Publisher · View at Google Scholar · View at Scopus
  10. A. H. De C Teixeira, M. Scherer-Warren, F. B. T. Hernandez, R. G. Andrade, and J. F. Leivas, “Large-scale water productivity assessments with MODIS images in a changing semi-arid environment: a Brazilian case study,” Remote Sensing, vol. 5, no. 11, pp. 5783–5804, 2013. View at Publisher · View at Google Scholar · View at Scopus
  11. P. Segurado, M. B. Araújo, and W. E. Kunin, “Consequences of spatial autocorrelation for niche-based models,” Journal of Applied Ecology, vol. 43, no. 3, pp. 433–444, 2006. View at Publisher · View at Google Scholar · View at Scopus
  12. W. G. M. Bastiaanssen, M. Menenti, R. A. Feddes, and A. A. M. Holtslag, “A remote sensing surface energy balance algorithm for land (SEBAL): 1. Formulation,” Journal of Hydrology, vol. 212-213, no. 1–4, pp. 198–212, 1998. View at Publisher · View at Google Scholar · View at Scopus
  13. W. G. M. Bastiaanssen, H. Pelgrum, J. Wang et al., “A remote sensing surface energy balance algorithm for land (SEBAL): 2. Validation,” Journal of Hydrology, vol. 212-213, no. 1–4, pp. 213–229, 1998. View at Publisher · View at Google Scholar · View at Scopus
  14. Q. Mu, M. Zhao, and S. W. Running, “Improvements to a MODIS global terrestrial evapotranspiration algorithm,” Remote Sensing of Environment, vol. 115, no. 8, pp. 1781–1800, 2011. View at Publisher · View at Google Scholar · View at Scopus
  15. A. H. D. C. Teixeira, W. G. M. Bastiaanssen, M. D. Ahmad, and M. G. Bos, “Reviewing SEBAL input parameters for assessing evapotranspiration and water productivity for the Low-Middle São Francisco River basin, Brazil: part A: calibration and validation,” Agricultural and Forest Meteorology, vol. 149, no. 3-4, pp. 462–476, 2009. View at Publisher · View at Google Scholar · View at Scopus
  16. R. C. Beeson Jr., “Modeling actual evapotranspiration of Viburnum odoratissimum during production from rooted cuttings to market size plants in 11.4-L containers,” HortScience, vol. 45, no. 8, pp. 1260–1264, 2010. View at Google Scholar · View at Scopus
  17. J. C. B. Hoedjes, A. Chehbouni, F. Jacob, J. Ezzahar, and G. Boulet, “Deriving daily evapotranspiration from remotely sensed instantaneous evaporative fraction over olive orchard in semi-arid Morocco,” Journal of Hydrology, vol. 354, no. 1-4, pp. 53–64, 2008. View at Publisher · View at Google Scholar · View at Scopus
  18. J. G. Arnold, D. N. Moriasi, P. W. Gassman et al., “SWAT: Model use, calibration, and validation,” Transactions of the ASABE, vol. 55, no. 4, pp. 1491–1508, 2012. View at Publisher · View at Google Scholar · View at Scopus
  19. D. G. Mayer and D. G. Butler, “Statistical validation,” Ecological Modelling, vol. 68, no. 1-2, pp. 21–32, 1993. View at Google Scholar
  20. J. C. Santos, I. R. Leal, J. S. Almeida-Cortez, G. W. Fernandes, and M. Tabarelli, “Caatinga: the scientific negligence experienced by a dry tropical forest,” Tropical Conservation Science, vol. 4, no. 3, pp. 276–286, 2011. View at Publisher · View at Google Scholar · View at Scopus
  21. C. C. Machado, B. B. Silva, M. B. de Albuquerque, and J. D. Galvíncio, “Estimativa do balanço de energia utilizando imagens TM—Landsat 5 e o algoritmo SEBAL no litoral sul de Pernambuco,” Revista Brasileira de Meteorologia, vol. 29, no. 1, pp. 55–67, 2014. View at Publisher · View at Google Scholar
  22. L. S. B. de Souza, M. S. B. de Moura, G. C. Sediyama, and T. G. F. da Silva, “Radiation balance in Caatinga ecosystem preserved for a year drought in semiarid Pernambucano,” Revista Brasileira de Geografia Física, vol. 8, no. 1, pp. 41–55, 2015. View at Publisher · View at Google Scholar
  23. H. A. Cleugh, R. Leuning, Q. Mu, and S. W. Running, “Regional evaporation estimates from flux tower and MODIS satellite data,” Remote Sensing of Environment, vol. 106, no. 3, pp. 285–304, 2007. View at Publisher · View at Google Scholar · View at Scopus
  24. J. L. Monteith, “Evaporation and environment,” in The State and Movement of Water in Living Organisms, pp. 205–234, Academic Press, New York, NY, USA, 1965. View at Google Scholar
  25. M. A. Friedl, D. K. McIver, J. C. F. Hodges et al., “Global land cover mapping from MODIS: algorithms and early results,” Remote Sensing of Environment, vol. 83, no. 1-2, pp. 287–302, 2002. View at Publisher · View at Google Scholar · View at Scopus
  26. R. B. Myneni, C. D. Keeling, C. J. Tucker, G. Asrar, and R. R. Nemani, “Increased plant growth in the northern high latitudes from 1981 to 1991,” Nature, vol. 386, no. 6626, pp. 698–702, 1997. View at Publisher · View at Google Scholar · View at Scopus
  27. J. G. Salomon, C. B. Schaaf, A. H. Strahler, F. Gao, and Y. Jin, “Validation of the MODIS bidirectional reflectance distribution function and albedo retrievals using combined observations from the aqua and terra platforms,” IEEE Transactions on Geoscience and Remote Sensing, vol. 44, no. 6, pp. 1555–1564, 2006. View at Publisher · View at Google Scholar · View at Scopus
  28. J. A. Valiente, M. Nunez, E. Lopez-Baeza, and J. F. Moreno, “Narrow-band to broad-band conversion for Meteosat-visiible channel and broad-band albedo using both AVHRR-1 and -2 channels,” International Journal of Remote Sensing, vol. 16, no. 6, pp. 1147–1166, 1995. View at Publisher · View at Google Scholar · View at Scopus
  29. A. H. D. C. Teixeira, W. G. M. Bastiaanssen, M. D. Ahmad, M. S. B. Moura, and M. G. Bos, “Analysis of energy fluxes and vegetation-atmosphere parameters in irrigated and natural ecosystems of semi-arid Brazil,” Journal of Hydrology, vol. 362, no. 1-2, pp. 110–127, 2008. View at Publisher · View at Google Scholar · View at Scopus
  30. J. W. Rouse, R. H. Haas, J. A. Schell, and D. W. Deering, “Monitoring vegetation systems in the Great Plains with ERTS,” in Proceedings of the 3rd Earth Resources Technology Satellite-1 Symposium, NASA SP-351, pp. 309–317, 1973.
  31. Y. Oguro, S. Ito, and K. Tsuchiya, “Comparisons of brightness temperatures of landsat-7/ETM+ and Terra/MODIS around Hotien Oasis in the Taklimakan Desert,” Applied and Environmental Soil Science, vol. 2011, Article ID 948135, 11 pages, 2011. View at Publisher · View at Google Scholar
  32. J. H. Zar, Biostatistical Analysis, Prentice Hall, Upper Saddle River, NJ, USA, 3rd edition, 1996.
  33. J. Fox, “The R commander: a basic-statistics graphical user interface to R,” Journal of Statistical Software, vol. 14, no. 9, pp. 1–42, 2005. View at Google Scholar
  34. J. Sanders, Veusz—A Scientific Plotting Package, Max Planck Institute, Garching bei München, Germany, 2015.
  35. F. A. Heinsch, M. Zhao, S. W. Running et al., “Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations,” IEEE Transactions on Geoscience and Remote Sensing, vol. 44, no. 7, pp. 1908–1923, 2006. View at Publisher · View at Google Scholar · View at Scopus
  36. D. P. Turner, S. Urbanski, D. Bremer et al., “A cross-biome comparison of daily light use efficiency for gross primary production,” Global Change Biology, vol. 9, no. 3, pp. 383–395, 2003. View at Publisher · View at Google Scholar · View at Scopus
  37. D. P. Turner, W. D. Ritts, W. B. Cohen et al., “Scaling Gross Primary Production (GPP) over boreal and deciduous forest landscapes in support of MODIS GPP product validation,” Remote Sensing of Environment, vol. 88, no. 3, pp. 256–270, 2003. View at Publisher · View at Google Scholar · View at Scopus
  38. T. C. Costa, L. J. Accioly, M. A. Oliveira, N. Burgos, and F. H. Silva, “Phytomass mapping of the “seridó caatinga” vegetation by the plant area and the normalized difference vegetation indeces,” Scientia Agricola, vol. 59, no. 4, pp. 707–715, 2002. View at Publisher · View at Google Scholar
  39. J. Domiciano Galvíncio, M. S. Beserra de Moura, T. G. Freire da Silva, B. B. da Silva, and C. R. Naue, “LAI improved to dry forest in semiarid of the Brazil,” International Journal of Remote Sensing Application, vol. 3, no. 4, p. 193, 2013. View at Publisher · View at Google Scholar
  40. J. R. Jensen, Sensoriamento Remoto do Ambiente: Uma Perspectiva em Recursos Terrestres, Parêntese, São José dos Campos, Brazil, 1st edition, 2009.
  41. S. J. Reddy, “Climatic classification: the semi-arid tropics and its environment—a review,” Pesquisa Agropecuária Brasileira, vol. 18, pp. 823–847, 1983. View at Google Scholar
  42. S. H. Bullock, H. A. Mooney, and E. Medina, Seasonally Dry Tropical Forests, Cambridge University Press, 1995. View at Publisher · View at Google Scholar
  43. N. Agam and P. R. Berliner, “Diurnal water content changes in the bare soil of a coastal desert,” Journal of Hydrometeorology, vol. 5, no. 5, pp. 922–933, 2004. View at Publisher · View at Google Scholar · View at Scopus
  44. R. G. Allen, M. Tasumi, A. Morse et al., “Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)—applications,” Journal of Irrigation and Drainage Engineering, vol. 133, no. 4, pp. 395–406, 2007. View at Publisher · View at Google Scholar · View at Scopus