Modelling the spectral response of the desert tree Prosopis tamarugo to water stress
Author
dc.contributor.author
Chávez, R. O.
Author
dc.contributor.author
Clevers, J. G. P. W.
es_CL
Author
dc.contributor.author
Herold, M.
es_CL
Author
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Ortiz, M.
es_CL
Author
dc.contributor.author
Acevedo, E.
es_CL
Admission date
dc.date.accessioned
2014-01-30T14:34:28Z
Available date
dc.date.available
2014-01-30T14:34:28Z
Publication date
dc.date.issued
2013
Cita de ítem
dc.identifier.citation
International Journal of Applied Earth Observation and Geoinformation 21 (2013) 53–65
en_US
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/120234
General note
dc.description
Artículo de publicación ISI
en_US
Abstract
dc.description.abstract
In this paper, we carried out a laboratory experiment to study changes in canopy reflectance of Tamarugo
plants under controlled water stress. Tamarugo (Prosopis tamarugo Phil.) is an endemic and endangered
tree species adapted to the hyper-arid conditions of the Atacama Desert, Northern Chile. Observed variation
in reflectance during the day (due to leaf movements) as well as changes over the experimental
period (due to water stress) were successfully modelled by using the Soil-Leaf-Canopy (SLC) radiative
transfer model. Empirical canopy reflectance changes were mostly explained by the parameters leaf area
index (LAI), leaf inclination distribution function (LIDF) and equivalent water thickness (EWT) as shown
by the SLC simulations. Diurnal leaf movements observed in Tamarugo plants (as adaptation to decrease
direct solar irradiation at the hottest time of the day) had an important effect on canopy reflectance and
were explained by the LIDF parameter. The results suggest that remote sensing based assessment of this
desert tree should consider LAI and canopy water content (CWC) as water stress indicators. Consequently,
we tested fifteen different vegetation indices and spectral absorption features proposed in literature for
detecting changes of LAI and CWC, considering the effect of LIDF variations. A sensitivity analysis was
carried out using SLC simulations with a broad range of LAI, LIDF and EWT values. The Water Index was
the most sensitive remote sensing feature for estimating CWC for values less than 0.036 g/cm2, while
the area under the curve for the spectral range 910–1070 nm was most sensitive for values higher than
0.036 g/cm2. The red-edge chlorophyll index (CIred-edge) performed the best for estimating LAI. Diurnal
leaf movements had an effect on all remote sensing features tested, particularly on those for detecting
changes in CWC.