Modelling the spectral response of the desert tree Prosopis tamarugo to water stress

被引:29
作者
Chavez, R. O. [1 ]
Clevers, J. G. P. W. [1 ]
Herold, M. [1 ]
Ortiz, M. [2 ,3 ]
Acevedo, E. [2 ]
机构
[1] Wageningen Univ, Lab Geoinformat Sci & Remote Sensing, NL-6700 AA Wageningen, Netherlands
[2] Univ Chile, Fac Ciencias Agron, Lab Relac Suelo Agua Planta, Santiago, Chile
[3] CEAF, Rengo, Chile
关键词
Arid ecosystems; Radiative transfer model; Soil-Leaf-Canopy; Water stress; Spectral reflectance; Vegetation indices; Remote sensing; Tamarugo; Atacama; LEAF-AREA INDEX; RED-EDGE; ATACAMA DESERT; BIDIRECTIONAL REFLECTANCE; ABSORPTION FEATURES; OPTICAL-PROPERTIES; STEADY-STATE; CANOPY; CHLOROPHYLL; VEGETATION;
D O I
10.1016/j.jag.2012.08.013
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
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/cm(2), 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. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:53 / 65
页数:13
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