Share Email Print

Proceedings Paper

NDVI sensitivity to the hydrological regime in semiarid mountainous environments
Author(s): P. J. Gómez-Giráldez; C. Aguilar; M.J. Polo
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

This work shows the sensitivity of NDVI as an indicator of the global hydrological regime of the year. The annual water balance in the area was simulated through a physically-based distributed hydrological model previously calibrated and validated in the area from 2001 till 2010. NDVI was obtained from Landsat TM at the end of the dry season in 1000 points randomly distributed over a pine cover in a mountainous Mediterranean area. The influence of different hydrological processes related to the water balance in the soil on the NDVI values was analyzed through Pearson correlation matrices and Principal Components Analyses. Results showed that the NDVI was particularly sensitive to the regime of annual variables related to the snow layer dynamics, especially to snowmelt. These relationships were quantified, with the best fit being obtained between NDVI and the dimensionless index snowmelt divided by precipitation (R2 around 0.7). The adjustments obtained could, in the future, constitute a tool for the estimation of hydrological variables from satellite data in data-poor situations conditioned by the commonly steep slopes and difficult access in mountainous areas.

Paper Details

Date Published: 19 October 2012
PDF: 10 pages
Proc. SPIE 8531, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIV, 85311A (19 October 2012); doi: 10.1117/12.974534
Show Author Affiliations
P. J. Gómez-Giráldez, Univ. of Cordoba (Spain)
C. Aguilar, Univ. of Cordoba (Spain)
M.J. Polo, Univ. of Cordoba (Spain)

Published in SPIE Proceedings Vol. 8531:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XIV
Christopher M. U. Neale; Antonino Maltese, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?