Share Email Print

Proceedings Paper

Climatic interpretation of the NDVI: applications for vegetation monitoring in Castilla y Leon (Spain)
Author(s): Alfonso Fernandez Manso; Pilar Illera; Jose A. Delgado; Alberto Fernandez Unzueta
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

This paper is a description of the methodology applied and results obtained in a study of the relations among the yearly evolution of the NDVI, derived from NOAA-AVHRR images, and meteorological variables. NOAA images are captured daily by the receivers located at our Remote Sensing Laboratory and processed by means of our own software. Air temperature and rainfall recorded by the Spanish Meteorological Institute (INM) have been interpolated into the spatial resolution of the AVHRR images. Solar radiation is calculated using Meteosat images, also received at our Laboratory, and a model developed by us. Three forest classes (deciduous forest, evergreen forest and pines) were chosen for 5-year study (1993 - 1997). These classes have an important presence in Castilla y Leon and also a well differentiated ecological significance. Models to relate the variables have been developed and an ecophysiological interpretation has been done. Finally, the improvement of the models by means of separating the different climatic zones using the classification CLATERES and also by introducing new variables capable to better measure hydric stress is addressed.

Paper Details

Date Published: 11 December 1998
PDF: 12 pages
Proc. SPIE 3499, Remote Sensing for Agriculture, Ecosystems, and Hydrology, (11 December 1998); doi: 10.1117/12.332772
Show Author Affiliations
Alfonso Fernandez Manso, Univ. de Valladolid (Spain)
Pilar Illera, Univ. de Valladolid (Spain)
Jose A. Delgado, Univ. de Valladolid (Spain)
Alberto Fernandez Unzueta, Univ. de Valladolid (Spain)

Published in SPIE Proceedings Vol. 3499:
Remote Sensing for Agriculture, Ecosystems, and Hydrology
Edwin T. Engman, 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?