A radiosity model for heterogeneous canopies in remote sensing

被引:16
作者
García-Haro, FJ [1 ]
Gilabert, MA [1 ]
Meliá, J [1 ]
机构
[1] Univ Valencia, Fac Fis, Dept Termodinam, E-46100 Valencia, Spain
关键词
D O I
10.1029/1998JD200105
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A radiosity model has been developed to compute bidirectional reflectance from a heterogeneous canopy approximated by an arbitrary configuration of plants or dumps of vegetation, placed on the ground surface in a prescribed manner. Plants are treated as porous cylinders formed by aggregations of layers of leaves. This model explicitly computes solar radiation leaving each individual surface, taking into account multiple scattering processes between leaves and soil, and occlusion of neighboring plants. Canopy structural parameters adopted in this study have served to simplify the computation of the geometric factors of the radiosity equation, and thus this model has enabled us to simulate multispectral images of vegetation scenes, Simulated images have shown to be valuable approximations of satellite data, and then a sensitivity analysis to the dominant parameters of discontinuous canopies (plant density, leaf area index (LAI), leaf angle distribution (LAD), plant dimensions, soil optical properties, etc.) and scene (sun/ view angles and atmospheric conditions) has been undertaken. The radiosity model has let us gain a deep insight into the radiative regime inside the canopy, showing it to be governed by occlusion of incoming irradiance, multiple scattering of radiation between canopy elements and interception of upward radiance by leaves. Results have indicated that unlike leaf distribution, other structural parameters such as LAI, LAD, and plant dimensions have a strong influence on canopy reflectance. In addition, concepts have been developed that are useful to understand the reflectance behavior of the canopy, such as an effective LAI related to leaf inclination.
引用
收藏
页码:12159 / 12175
页数:17
相关论文
共 28 条
[1]   SIMULATION OF LIGHT INTERCEPTION FROM A MAIZE CANOPY MODEL CONSTRUCTED BY STEREO PLOTTING [J].
ANDRIEU, B ;
IVANOV, N ;
BOISSARD, P .
AGRICULTURAL AND FOREST METEOROLOGY, 1995, 75 (1-3) :103-119
[2]   LEAF-AREA INDEX, INTERCEPTED PHOTOSYNTHETICALLY ACTIVE RADIATION, AND SPECTRAL VEGETATION INDEXES - A SENSITIVITY ANALYSIS FOR REGULAR-CLUMPED CANOPIES [J].
BEGUE, A .
REMOTE SENSING OF ENVIRONMENT, 1993, 46 (01) :45-59
[3]   THE RADIOSITY METHOD IN OPTICAL REMOTE-SENSING OF STRUCTURED 3-D SURFACES [J].
BOREL, CC ;
GERSTL, SAW ;
POWERS, BJ .
REMOTE SENSING OF ENVIRONMENT, 1991, 36 (01) :13-44
[4]   NONLINEAR SPECTRAL MIXING MODELS FOR VEGETATIVE AND SOIL SURFACES [J].
BOREL, CC ;
GERSTL, SAW .
REMOTE SENSING OF ENVIRONMENT, 1994, 47 (03) :403-416
[5]  
Cohen M. F., 1993, Radiosity and Realistic Image Synthesis
[6]   COMPUTER-SIMULATION OF THE MORPHOLOGY AND DEVELOPMENT OF SEVERAL SPECIES OF SEAWEED USING LINDENMAYER-SYSTEMS [J].
CORBIT, JD ;
GARBARY, DJ .
COMPUTERS & GRAPHICS, 1993, 17 (01) :85-88
[7]  
Foley J. D., 1990, Computer Graphics, Principles and Practice, V2nd
[8]   CONIFEROUS FOREST CLASSIFICATION AND INVENTORY USING LANDSAT AND DIGITAL TERRAIN DATA [J].
FRANKLIN, J ;
LOGAN, TL ;
WOODCOCK, CE ;
STRAHLER, AH .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1986, 24 (01) :139-149
[9]   Linear spectral mixture modelling to estimate vegetation amount from optical spectral data [J].
GarciaHaro, FJ ;
Gilabert, MA ;
Melia, J .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1996, 17 (17) :3373-3400
[10]  
GARCIAHARO FJ, 1997, THESIS U VALENCIA VA