Connor, D. J.; Fereres Castiel, Elías
Contiene lista de abreviaturas, tablas y figuras
(749190 bytes; application/pdf) - 04-dic-2015
Mohammed, G. H.; Noland, T. L.; Irving, P. H.; Sampson, P. H.; Zarco-Tejada, Pablo J.; Miller, J. R.
This study explores some of the biological factors influencing leaf-based spectral reflectance,
and endeavours to answer the questions: (1) Can Ontario plant species be satisfactorily
distinguished by their leaf spectra? (2) Can spectral properties be used to identify physiological
strain in plants before visual symptoms appear? and (3) How strongly do factors other than
species and stress affect spectral properties? Forty-four species were examined for species
effects. Some general patterns were revealed, including: low reflectance in the near infrared
region for conifers compared to broadleaved species; higher reflectance in the blue wavebands
for species with blue hues in their foliage; and more rapid decay of the green...
(2925277 bytes; application/pdf) - 29-ago-2014
Sampson, P. H.; Mohammed, G. H.; Colombo, S. J.; Noland, T. L.; Miller, J. R.; Zarco-Tejada, Pablo J.
Measurable indicators are needed to gauge the effects of management activities and
natural phenomena on forest sustainability. To meet this need, the Bioindicators of
Forest Sustainability Project is testing physiological approaches to develop a Forest
Condition Rating (FCR) system. An FCR system would directly support provincial
policy (e.g., Forest Resource Assessment Policy) and national initiatives (e.g., Criteria
and Indicators) by providing an understanding of ecosystem condition. Furthermore,
this project addresses a pressing need for indicators that can support operational
forest management and possible concerns of sustainability at the local level.
Development of an FCR system involves interpreting remotely sensed spectral
information with the aid of ground-based assessments of structural...
(2777840 bytes; application/pdf) - 29-ago-2014