Variability of biome reflectance directional signatures as seen by POLDER

被引:102
作者
Bacour, C [1 ]
Bréon, FM [1 ]
机构
[1] Comis Energia Atom, Lab Sci Climat & Environm, Gif Sur Yvette, France
关键词
bidirectional reflectance distribution function; POLDER; bidirectional effect normalization; biome classification;
D O I
10.1016/j.rse.2005.06.008
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Reflectance measurements acquired with the spaceborne POLDER instrument are used to analyze the variability of land surface directional signatures as a function of vegetation cover type. The reflectance directional signatures are quantified by the three parameters of a modified version of the Ross-Li reflectance model. The variability of the estimated parameters with respect to the seven MODIS biome classes was found to be higher within the classes than between classes, with the exception of the desert targets that show more isotropic reflectances. A limited number of standard BRDFs (typically 5 in the red and near infrared) capture most of the variability of the directional reflectance measurements, supporting the idea that different land surfaces have similar directional signatures. Over vegetation targets, they are characterized by a strong increase toward backscattering and much smaller variations in forward directions. The results express the diversity in structural situations within a given biome class and indicate that, at the resolution of the POLDER sensor, i.e. a few kilometers, the BRDF contains little information on the dominant vegetation type. We show that standard directional signatures may be used to correct the reflectance measurements for directional effects with an RMS error on the order of 0.011 in the red and 0.015 in the near infrared. (C) 2005 Elsevier Inc. All rights reserved.
引用
收藏
页码:80 / 95
页数:16
相关论文
共 55 条
[41]   Comparative evaluation of seasonal patterns in long time series of satellite image data and simulations of a global vegetation model [J].
McCloy, KR ;
Lucht, W .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2004, 42 (01) :140-153
[42]   Increased plant growth in the northern high latitudes from 1981 to 1991 [J].
Myneni, RB ;
Keeling, CD ;
Tucker, CJ ;
Asrar, G ;
Nemani, RR .
NATURE, 1997, 386 (6626) :698-702
[43]   Uniqueness of multiangular measurements - Part I: An indicator of subpixel surface heterogeneity from MISR [J].
Pinty, B ;
Widlowski, JL ;
Gobron, N ;
Verstraete, MM ;
Diner, DJ .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2002, 40 (07) :1560-1573
[44]   HIGH-SPECTRAL-RESOLUTION FIELD AND LABORATORY OPTICAL REFLECTANCE MEASUREMENTS OF RED SPRUCE AND EASTERN HEMLOCK NEEDLES AND BRANCHES [J].
ROCK, BN ;
WILLIAMS, DL ;
MOSS, DM ;
LAUTEN, GN ;
KIM, M .
REMOTE SENSING OF ENVIRONMENT, 1994, 47 (02) :176-189
[45]  
Ross J., 1981, The radiation regime and architecture of plant stands.
[46]   A BIDIRECTIONAL REFLECTANCE MODEL OF THE EARTHS SURFACE FOR THE CORRECTION OF REMOTE-SENSING DATA [J].
ROUJEAN, JL ;
LEROY, M ;
DESCHAMPS, PY .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1992, 97 (D18) :20455-20468
[47]   RELATING SEASONAL PATTERNS OF THE AVHRR VEGETATION INDEX TO SIMULATED PHOTOSYNTHESIS AND TRANSPIRATION OF FORESTS IN DIFFERENT CLIMATES [J].
RUNNING, SW ;
NEMANI, RR .
REMOTE SENSING OF ENVIRONMENT, 1988, 24 (02) :347-367
[48]  
SANDMEIER S, 1999, REMOTE SENS ENVIRON, V73, P257
[49]   Measurement and modeling of the spectral and directional reflection properties of lichen and moss canopies [J].
Solheim, I ;
Engelsen, O ;
Hosgood, B ;
Andreoli, G .
REMOTE SENSING OF ENVIRONMENT, 2000, 72 (01) :78-94
[50]   Airborne spectral measurements of surface anisotropy during SCAR-B [J].
Tsay, SC ;
King, MD ;
Arnold, GT ;
Li, JY .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1998, 103 (D24) :31943-31953