Adjusting a model to estimate humidity content of soil by using TVDI in the State of Sinaloa, Mexico

  • Miguel Armando Lopez Beltran Universidad Autónoma de Sinaloa http://orcid.org/0000-0002-2133-0266
  • Miguel López Meza Universidad Autónoma de Sinaloa
  • Martín Abraham Ramirez Tirado Universidad Autónoma de Sinaloa
Keywords: TVDI, MODIS, SIG, Remote perception, water, model adjustment.

Abstract

There are various direct and indirect methods used to estimate soil humidity. In remote perception or tele-detection, the TVDI, (Temperature-Vegetation Dryness Index), may be used, which uses terrestrial surface temperatures, and vegetation indexes as input standards. The proposal of this work is to present a quick manner of readjusting those figures where water bodies undergo some dry degree of the soil for the whole area of study. Four years were selected (2003, 2006, 2009 and 2012), the TVDI was estimated with input of MODIS products. An adjustment value was proposed based on the difference of the mean, and standard deviation of water bodies; this figure is applied to the resulting product, which lead to establish that water bodies show a humidity saturation of their soil. Adjustment values are different for each year of study. Humidity content is consistent to expected variability according to the various uses of soil and vegetation. Results agree with drought reports to the State of Sinaloa.

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Author Biographies

Miguel Armando Lopez Beltran, Universidad Autónoma de Sinaloa
Docente de asignaturas en la Facultad de Agronomía y Facultad de Ciencias de la Tierra y el Espacio
Miguel López Meza, Universidad Autónoma de Sinaloa
Facultad de Agronomía
Martín Abraham Ramirez Tirado, Universidad Autónoma de Sinaloa
Facultad de Agronomía
Published
2016-12-31
How to Cite
Lopez Beltran, M. A., López Meza, M., & Ramirez Tirado, M. A. (2016). Adjusting a model to estimate humidity content of soil by using TVDI in the State of Sinaloa, Mexico. UGCiencia, 22(1), 25-36. https://doi.org/10.18634/ugcj.22v.1i.505
Section
Artículos Resultado de Investigación