Modeling BRF and radiation regime of boreal and tropical forests: I. BRF

被引:83
|
作者
Gastellu-Etchegorry, JP
Guillevic, P
Zagolski, F
Demarez, V
Trichon, V
Deering, D
Leroy, M
机构
[1] Ctr Etud Spatiale Biosphere, CNES, CNRS, UPS, F-31401 Toulouse 4, France
[2] Privateers NV, St Maarten, Neth Antilles
[3] Univ Sherbrooke, CARTEL, Sherbrooke, PQ J1K 2R1, Canada
[4] CNRS, Lab Ecol Terr, UPS, Toulouse, France
[5] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
关键词
D O I
10.1016/S0034-4257(98)00119-9
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Monitoring od forest evolution and functioning with remote sensing depends on canopy BRF (bidirectional reflectance factor) sensitivity to biophysical parameters and to canopy PAR (photosynthetically active radiation) regime. Here, we study the canopy BRF of a tropical (Sumatra) and three boreal (Canada) forest sites, with the DART (discrete anisotropic radiative transfer) model. The behavior of PAR regime of these forests is analysed in a companion article. We assessed the BRF sensitivity to some major experimental parameters (scale of analysis, viewing and illumination directions, sky radiation) and compared it with BRF sensitivity to commonly studied biophysical quantities: Leaf area index (LAI) and leaf optical properties. Simulations show;ed that BRF directional anisotropy is very large for all forests. For example, maximum relative reflectance difference with view zenith angle less than 25 degrees is around 0.5 in the visible, 0.4 in the short wave infrared and 0.25 in the near-infrared for tropical forest. We showed that this BRF variability associated with experimental conditions can hamper the remote detection of forest LAI and tree cover change such as deforestation of tropical forest. DART BRFs of the boreal sites were favourably compared with ground (PARABOLA) and airborne (POLDER) measured BRFs, This work stressed 1) the potential of the DART model, 2) the importance of accurate field data for validation approaches, and 3) the very strong influence of canopy architecture on forest BRF; for example, depending on forest sites, a LAI increase may imply that nadir near-infrared reflectance increases or decreases. (C) Elsevier Science Inc., 1999.
引用
收藏
页码:281 / 316
页数:36
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