Multi-angle remote sensing is proposed on the anisotropy characteristic of ground objects. To compare with traditional method of perpendicular remote sensing, it is provided with the capability of obtaining 3D structure of ground object and represents the new aspect of quantum remote sensing. This paper introduces the latest achievements in multi-angle remote sensing of vegetation canopy and discusses the theory and application on forward model and backward model (invertion) of bidirectional reflectance. Finally, the present difficulty and future progress of multi-angle remote sensing are analysed.
1 李小文,Strahler A H.,朱启疆,朱重光.基本颗粒构成的粗糙表面二向扫射一相互遮蔽效应的几何光学模型.科学通 报,1993,38:86~89.
2 Myneni R B.,Ross(Eds.)J.Phot on Vegetation Interactions.Springer Verlag Berlin Heidelberg,1991.
3 Goel N S.Models of vegetation canopy reflectance and their use in estimation of biophysical parameters from reflectance date.Remote Sensin Reviews.1988,4:1-212.
4 Myneni R B.A srar G,G ertl S A W.Radiat in etransfer in three dimensional leaf canopies.Transport Theory and Statist ical Physics,1990,19:205-250.
5 Liang S.St rahler A H.A n analytic radiative transfer model for the coupled at mosphere and canopy.J.G eophys.Res.1995,100:5085-5094.
6 李小文,等.不连续植被二向性反射的几何光学与辐射一体化综合模型初探.环境遥感,1993,8(3):161~172.
7 Nilson T.,Kuusk A.A ref iect ance model for the homogeneous plant canopy and its inversion.Remote Sens.Environ.,1989,27:157-167.
8 Roujean J L,Latoy M,D eschamps P Y.Bidirectional reflectance model of the earths surface for the correction of remote sensing dat e.J.G eophys.Res.,1992,97:20455-20468.
9 Leroy M,Roujean J L.Sun and view angle corrections on reflectance derived from NOA A/A VHR Rdat a.IEEE Trans. Tran.Geosci.Remote Sens.,1994,GE-32:684-697.
10 Strahler A H,et al.MODIS BR DF/ALBEDO product:algorithmtheoretical basis document version 3.2,M ay 15,1995.
11 Kussk A.A multispectral canopy reflect ance model.R emote Sens.Environ.,1994,50:75-82.
12 Kussk A.A fast in vertible canopy ref lect ance model.Remote Sens.Environ.,1995,51:342-350.
13 Huet e A R.A soil adjusted vegetation index(SAV I).Remote Sens.En viron.,1988,25:295-309.
14 Kauf man Y J,Tanre D.At mospherically resist ant vegetation index(ARVI)f or EOS MOD IS.IEEE Trans.Geosci.Remote Sens,1992,30:261-270.
15 Myneni R B,A srar G.A tmospheric eff ect s and spectral veget at ion indices.R emot e S ens.Environ.,1994,47:390-402.
16 Roujean J L,Breon F M.Estimating PAR absorbed by vegetation from bidirectional reflect ance measurements.Remote Sens.Environ.,1995,51:375-384.
17 Cihlar J.,et al.A VHR R bidirectional reflectance ef fects and compositing.Remote Sens.Environ.,1994,48:77-88.
18 Flasse S P,Verstraete M M,M eyer D J.Inverting a bidirectional reflect ance model to remove directional effects in AVHRR data,proc.6th European A VHR R dat a user s meeting,1993,Belgirat e,It dy.
19 Myneni R B,Williams D I.On the relat ionship between FAPAR and NDVI.Remote Sens.Environ.,1994,49:200-211.
20 Myneni R B,et al.O ptical remote sensing of vegetation modeling,caveat s,and algorithms.Remote Sens.Environ.,1995,51:169-188.
21 Li X,St rahler A H.G eom etrical O ptical modeling of a conifer forest canopy.IEEE Trans.Trans.Geosci.Remote Sens.,1985,GE-23:705-721.
22 Privett e J L,et al.Invertibility of a 1-D discrete ordinates canopy reflectance model.Remote Sens.Environ.,1994,48:89-105.
23 Wanner W,Li X,St rahler A H.On the derivation of kernels for kernel driven models of bidirectional reflectance.J.Geo phys.Res.,1995,100:21077-21089.
24 Goel N S,Grier T.Estimation of canopy parameters of row planted vegetation canopies using reflect ance data for only four view directions.Remote Sens.of Environ.1987,21:37-51.
25 Kimes D S,Harrison P R,Ratcliffe P A.A know ledge based expert system for inferring vegetation charact eristics.Int.J. R emote Sens.1991,12(10):1987-2020.
26 Kimes D S,Harrison P R,R at cliffe P A.L earning class descriptions from a data base of spectral reflect ance with multiple view angle.IEEE Trans.Geosci.Remote Sens.1992,30:315-325.
27 Kimes D S,Harrison P A,Harrison P R.Ext ension of off nadir view angles for direct ional sensor system.Remote Sens. Environ.,1994,50:201-211.
28 Smit h J A.LA I in version using a backpropagation neural network trained with a multiple sacttering model.IEEE Trans. Geosci.Remote Sens.,1993,GE-31.
29 K auf man Y J.The atmospheric effect on remote sensing and its corrections.In theory and application of optical remote sensing,(Asrar G.Ed.)Wiley,New York,1989.336-428.
30 Tanre D,Holben B N,Kaufman Y J.A tmopheric correction algorit hm for NOAA-AV HRR products:theory and appli cation.IEEE Trans.Geosci.R emot e Sens.,1992,30(2).
31 6S user guide,NASA Godderd space Flight Center,1994.
32 李小文,高峰,王锦地,朱启疆.遥感反演中参数的不确定性与敏感性矩阵.遥感学报,1997(1):1~14.
33 [美]W.K.普拉特著,数字图像处理学.北京:科学出版社,1984.334~347.
34 徐建华编著.图像处理与分析.北京:科学出版社,1992.290~308.
35 Deuze J L,Breon F M,et al.Analysis of the POLD ER airborne instrument observations over land surface.R emote Sens. Environ.,1993,45:137-154.
36 Deschamps P Y,Breon F M,et al.T he PO LDER mission:instrument charact eristics and scientific objectives.IEEE Trans.Geosci.Remote Sens.,1994,32:598-615.
37 Leroy M,Breon F M.A ngular signatures of surface refleetance from airborne PO LDER data.Remote sens.Environ.1996,57:97-107.
38 李小文,王锦地著,植被光学一个模型与植被结构参数化,北京:科学出版社,1995.
