1、 V r s r _ “ # W 1 “ 刘伟1,2, 施建成1, 余琴1,2, 王建明1,2, 武胜利1,2(1.中国科学院遥感应用研究所遥感信息科学重点实验室,北京null 100101; 2.中国科学院研究生院,北京null 100039)K 1 : r / Q r s Oh 1aDubois 2 # Shi 3b Shi $ , r s r _ “ W 1 “ ) ,Q r s r _ “ # W 1 “ b1 o M : r / ; Q ; r s ; _ “ ; m s | : TP 722.6null D S M : Anull null null c I | : 1001- 0
2、70X(2004)03- 0014- 040null 引言 a j 30!,r c l 35% f / , Dubois r T z b Y v V H q / ,Dubois hh _ “ vv v , # SAR4 M Q b ks 2. 5 H Y V H q / ,Dubois a b1. 3null Shi IEM (Integrated Equation Method Model) 4 $ ,Y V E V Y r 8 c H q / V _ + , Shi J 3y L o F _ “ V Y q W M 1 1 “ ,10lg | pp |2null0pp = app(!) +
3、 bpp( !) 10lg1sr (3)10lg | vv |2+ | hh | 2null0vv+ null0hh = avh( !)+ bvh(!) 10lg| vv | | hh |null0vv+ null0hh (4)null null T , app / ; sr Y ; nulls ; aab ( 1 “ ;hh= ( nulls- 1)/( cos!+ nulls- sin2!)2;vv= ( nulls- 1)sin2!- nulls(1+ sin2!)#(nulls cos!+ nulls- sin2!)2; I n Y _ “ Y , B L = r T z b2null
4、 土壤水分与后向散射系数及雷达入射角之间的关系null null 1985 M Hallikaime# Dobson 5, 6 4 r , a H o q S z(1 18 GHz), 8 T nullm = 1+ %b%s(nulls - 1)+ m = 0. 65;%b r 8 ; %s r % ,B | %s= 2. 66; nulls r % , nulls null4.7; nullfw B ; mv r 8 c ; ,G Q /r s | vv| 2+ | hh| 2a| hh| | vv| W f 1“ (V 1, R2 ( v 0.99)bV 1null r r s |vv|
5、2+ | hh| 2a| hh| vv| W B ! sin! A1 B1 A 2 B218 0. 309 0 1. 883 6 0. 630 4 0. 928 7 0. 627 219 0. 325 6 1. 929 7 0. 630 9 0. 948 3 0. 627 020 0. 342 0 1. 979 9 0. 631 6 0. 969 3 0. 626 821 0. 358 4 2. 034 4 0. 632 3 0. 991 8 0. 626 6 null null null null null null null null null null57 0. 838 7 17. 79
6、5 0 0. 788 0 3. 919 6 0. 602 758 0. 848 0 19. 663 0 0. 797 8 4. 138 5 0. 602 459 0. 857 2 21. 787 0 0. 808 1 4. 374 8 0. 602 260 0. 866 0 24. 209 0 0. 818 8 4. 630 3 0. 602 2V V 1 V A , “ r M ,M | vv| 2+ | hh| 2a| hh| | vv| f 9 ?p M ,m 2 5s Y r (sin!) A1aB1aA2aB2 W B 1 “ w L bm 2null sin! A1 W 1 “m
7、3null sin! B1 W 1 “m 4null sin! A2 W 1 “m 5null sin! B2 W 1 “V m 2 5 V A , w L E r T z ( R2 %0.96)b , T (4) | vv| 2+ | hh| 2a| hh| | vv|V B 1 “ 9 ,y N T (4) V V r10lg A1mB1vnull0vv+ null0hh = avh(!)+ bvh( !) 10lgA2mB2vnull0vvnull0hh(7)T ,null A1= 1.963 4+ 0.008 9 exp(sin!/ 0.113 2)null B1= 0.621 8+
8、0.001 3 exp(5.790 4sin!)null A2= 0.811 2+ 0.026 1 exp(5.645 4sin!)null B2= 0.614 7+ 0.084 sin!- 0.158 6 sin2!+0.047 4 sin3! (7) T , null0pp pp(vv hh) V _ “ ; ! r ; mv r 8 c b ( r f b V n , ( 7) T V r s mvb3null 讨论 L = r s H ,B 5 9 r , Hallikainen# Dobson 16 S null r null null null * null 2004 M9 r s
9、 b 7 ,r # ( , L = 9 v 4 b Y V Q r s r _ “ a r W 1 “ , V z % 5 b B Z E V r s r _ “ a W 1 “ H , A , Shi L ! - 4 / , a r $ u bN ,Shi z Q r s H , T (3) Vvv hh F ,h V Y M 1 sr,9 y N ? P B Z E s r s r _ “ a W 1 “ b T Q r s r _ “ a W 1 “ ( R2 S v 0. 96) ,/ B | V L Z E r s , T B _ b I D1 null Oh Y, et al. .
10、 An empirical model and inversion technique for radarscattering from bare soil surfaceJ. IEEE Trans. Geosci. RemoteSensing, 1992, 30: 370- 381.2 null Pascale C, Dubois, et al. . Measuring Soil Moisture with ImagingRadarsJ. IEEE Trans. Geosci. Remote Sensing, 1995,33(4): 915-926.3 null Shi, et al. .
11、Estimation of Bare Surface Soil Moisture and SurfaceRoughness ParameterUsingL- band SARImage DataJ. IEEE Trans.Geosci. RemoteSensing, 1997, 35(5): 1254- 1266.4 null Fung AK, et al. . Backscattering from a randomly rough dielectric surnullfaceJ. IEEE Trans. Geosci. Remote Sensing,1992, 30: 356- 369.5
12、 null MarttiT Hallikainen, Ulaby FT, et al. . MicrowaveDielectric Behaviorof Wet Soil Part I: Empirical Models and Experimental ObservationsJ. IEEE Trans. Geosci. Remote Sensing, 1984, 23(1): 25- 34.6 null Myron C Dobson, Ulaby F T, et al. .Microwave Dielectric Behavior ofWetSoil Part II: Dielectric
13、Mixing ModelsJ. IEEE Trans. Geosci.RemoteSensing, 1984, 23(1): 35- 46. 7 null TaniaNeusch, et al. . Application oftheDuboismodelusing experimennulltal synthetic aperture radar data for the determination of soil moistureand surface roughnessJ. Remote Sens. Environ. , 1999, 54: 273-278.8 null Yang Hu,
14、 et al. .Polarimetric SARSurface Parameters Inversion Basedon Neural NetworkJ. Journal of Remote Sensing, 2002, 6(6): 451-455.THE RELATIONSHIP BETWEEN RADARBACKSCATTERING COEFFICIENT, INCIDENCEANGLE AND SURFACE SOIL MOISTURELIU Wei1, 2, SHI Jian- cheng1,YU Qin1,2, WANG Jian- ming1, 2, WU Sheng- li1,
15、 2(1. Institute of Remote Sensing Application, Chinese Academy of Sciences, Beijing 100101, China; 2. Graduate school of ChineseAcademy of Sciences, Beijing 100039, China)Abstract: In recent years, three famous models have been frequentlymentioned in soil moisture inversion, which are Ohmodel, Duboi
16、s model and Shimodel. This paper deals with the correlation between radar backscattering coefficient andsoil moisturebased on theShi model, and studies therelationship between radar backscattering coefficient, incidenceannullgle and surface soil moistureon the basis of inversion.Key words: Radar tec
17、hnology; Inversion; Soil moisture; Backscattering coefficient; Incidence angle B T e : (1973- ) , 3 , S S * p V 3 , Z _ r * b(3 I : )h 1 b S ; 3 ; V * m 1 s a $ $ s ; * / V Z E ; * 3 m ) ; g L I ) b W f n :http:/ /www.igsnrr.ac. cn/ index.jsp(8 )b “ : f , : 010- 64889843 2, m : 13810356215,. : 010- 64889630,E- mail: Zhangjp Lreis. ac. cnb y , : 010- 82841175, m :13681265511, E- mail: LijxLreis. ac. cnb I : 100101,Y : g u v J 11| S S 17 3 , : null V r s r _ “ # W 1 “
