Temporal analysis of moisture content in grass in an ecosystem of DEHESA by Landsat, and its relation to climatic factors

Authors

  • José David Cáceres Coello Departamento de Ciencia y Tecnologías de la Información Geográfica, Facultad de Ciencias Espaciales, Universidad Nacional Autónoma de Honduras (UNAH)
  • Pilar Martín Isabel Centro de Ciencias Humanas y Sociales (CCHS), Consejo Superior de Investigaciones Científicas (CSIC)
  • Javier Salas Departamento de Geografía, Universidad de Alcalá (UAH)

DOI:

https://doi.org/10.5377/ce.v5i1.2539

Keywords:

Landsat, grassland, spectral indices, canopy water content, climatic variables

Abstract

According to the Intergovernmental Panel on Climate Change Good Practice Guidance (IPCC GPG), remote sensing techniques are suitable for estimation of vegetation biophysical variables. In this work we used a Landsat time series to estimate canopy water content (CWC) in a pasture area Northeast of the province of Cáceres, from 1985 to 2010. Field sampling of canopy water content (CWC) were performed, as well as radiometry, in four plots located within the study site for the model calibration. We applied a linear regression model using field data and spectral indices for estimating the variables. NDII5 was the best index for CWC estimation (R2=0.85). The average values of CWC were sensitive to extreme changes in time series of precipitation and temperature.

Revista Ciencias Espaciales, Vol.5(1) 2012, 66-84

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Published

2016-04-24

How to Cite

Cáceres Coello, J. D., Martín Isabel, P., & Salas, J. (2016). Temporal analysis of moisture content in grass in an ecosystem of DEHESA by Landsat, and its relation to climatic factors. Ciencias Espaciales, 5(1), 66–84. https://doi.org/10.5377/ce.v5i1.2539

Issue

Vol. 5 No. 1 (2012)

Section

Science and Geographic Information Technologies