期刊文献+

基于3D真实植被场景的全波段辐射传输模型研究 被引量:5

Modeling of 3D Canopy's Radiation Transfer in the VNIR and TIR Domains
下载PDF
导出
摘要 本文基于3D真实场景CLAMP模型模拟的植被冠层,对冠层在可见-近红外波段和热红外波段的辐射传输进行了综合建模。针对CLAMP模型生成场景的通用和近似特征,在可见-近红外波段,对植被和土壤的单次散射贡献利用光子逆向追踪算法进行了精确计算,多次散射的贡献则采用四流近似理论来计算,以提高运算效率。模型结果与SAILH模型结果进行了比较,具有较好的一致性,并且体现出了优于一维辐射传输模型的模拟结果。在热红外波段,采用几何光学原理,冠层方向亮度温度由可视光照叶片、遮荫叶片、光照土壤和遮荫土壤的比例与对应组分亮温乘积之和得到,模拟结果体现了合理的变化趋势。对冠层主要结构参数LAI和ALA的敏感性进行了比较分析,不同波段模型模拟的方向性辐射结果,很好地反映了结构参数对冠层辐射特性的影响。 In this paper, a synthetic strategy has been employed to model 3D canopy' s radiation transfer in the whole optical spectral domains. 3D plant architecture model( the Clumped Architecture Model of Plants: CLAMP) is used to generate the realistic vegetation scene. In the visible and NIR region, the canopy BRDF was decomposed into three parts: single scattering contribution from leaves, single scattering contribution from the soil, and multiple scattering part of the canopy. The single scattering contributions come from illuminated leaves and soil components which are computed by the reverse ray-tracing procedure with their corresponding reflectance. The multiple scattering contribution is approximated by the four-stream theory. As a result, the modeling of VNIR region is more efficient and fairl accurately describes the anisotropically scattering features of vegetation. Simulation results show good consistency with SAILH' s, and more details can be simulated than theone dimensional rediative transfer models. In the TIR region, the directional brightness temperature of canopy is calculated as the linear combination of four component' s ( illuminated leaves, illuminated ground, shadowed leaves, and shadowed ground) brightness temperature multiplied by its fractional cover computed by the reverse ray-tracing procedure. Initial modeling results show typical features of vegetation' s anisotropic scattering and directional temperature distributions, for example, hot spot, bowl shape and reach a good agreement with theoretical results in those three domains. This strategy shows potential of exploring the impact of canopy structure on the radiometric response measured by remote sensors.
出处 《遥感学报》 EI CSCD 北大核心 2006年第5期670-675,共6页 NATIONAL REMOTE SENSING BULLETIN
基金 中国科学院百人计划项目(编号:KZCX0415) 国家教育部留学回国人员科研启动基金重点项目(编号:HX040013) 国防科学技术工业委员会项目(编号:KJSX0401)
关键词 植被3D场景模拟 CLAMP模型 二向性反射分布N-Y(BRF) 方向亮度温度(DBT) 3D canopy scenery CLAMP bidirectional reflectance factor(BRF) directional brightness temperature (DBT) reverse ray-tracing
  • 相关文献

参考文献19

  • 1Myneni R B, Ross J K, Asrar G. A Review on the Theory of Photon Transport in Leaf Canopies[ J]. Agricultural and Forestry Meteorology, 1990,45 : 1--153. 被引量:1
  • 2Pinty B, Gobron N, Widlowski J L, et al. The Radiation Transfer Model Intercomparison(RAMI) Exercise[ J]. Journal of Geophysical Research,[ Atmospheres ] , 2001, 106 ( 11 ) :11937-11956. 被引量:1
  • 3Pinty B, Widlowski J L, Tabemer M, et al. Radiation Transfer Model Intercomparison ( RAMI ) Exercise: Results from the Second Phase [ J 1. Journal of Geophysical Research, 2004, 109(D6) : D06210 10. 1029/2003JD004252 25 March 2004. 被引量:1
  • 4Dash P, Gottsche F M, Olesen F S, et al. Land Surface Temperature and Emissivity Estimation from Passive Sensor Data:Theory and Practlce-current Trends [ J ]. Int. J. Remote Sens,2002, 23(13) : 2563-2594. 被引量:1
  • 5Otterman J, Brakke T W, Fuchs M, et al. Longwave Emission from a Plant/soil Surface as a Function of the View Direction:Denpendence on the Canopy Architecture [J]. Int. J. Remote Sensing, 1999, 20( 11 ) : 2195-2201. 被引量:1
  • 6Rochdi N, Baret F, Combal B, et al. CLAMP: A Model of Leaf Clumping in Canopies [A].Sobrino. J A Recent Advances in Quantitative Remote Sensing, 1st International Symposium [ C ].Torrenta(Valencia) Spain, Publications de la Universitat de Valencia, 2002. 被引量:1
  • 7Campbell G S. Derivation of an Angle Density Function for Canopies with Ellipsoidal Leaf Angle Distributions[J].Agric.for. Meteorol. , 1990, 49:173-176. 被引量:1
  • 8Govaerts Yves M, Vemtraete Michel M. Raytran: a Monte Carlo Ray-Tracing Model to Compute Light Scattering in Three-dimensional Heterogeneous Media [ J ]. IEEE Transaction on Geoscience and Remote Sensing, 1998, 36(2) : 493-505. 被引量:1
  • 9Pinty B, Vemtraete M M. Modeling the Scattering of Light by Vegetation in Optical Remote Sensing [ J ]. J. Atmos. Sci.,1997, 55: 137-150. 被引量:1
  • 10Gu X F, Zhao F, Gao H L, et al. Modeling 3D Canopy's Four Components and Gap Fraction at the Sub-Leaf Level Using Ray-Tracing Method [A].ISPMSRS05 [ C ] , Beijing, China, 2005 :655-658. 被引量:1

二级参考文献13

  • 1[1]Friedl M A Modeling Land Surface Fluxes Using a Sparse Canopy Model and Radiometric Temperature Measurements. [J] Journal of Geophysics Research, 1985, 100 (D12) :25435-25446. 被引量:1
  • 2[2]Jackson R D, Reginato R J, Pinter P J J, et al. Plant Canopy Information Extraction from Composite Scene Reflectance of Row Crops [J]. Applied Optics, 1979, 18: 3775-3782. 被引量:1
  • 3[3]Weiss M. Baret F, Leroy M, et al. Hemisphrical Reflectance and Albedo Estimation from the Accumulation of Across-track Sun-synchronous Satellite Data [ J]. Journal of Geophysical Research, 1999,104 (D18): 22221-22232. 被引量:1
  • 4[4]Vining R C, Blad B L. Estimation of Sensible Heat Flux from Remotely Sensed Canopy Temperatures[J]. Journal of Geophysical Research, 1992, 97 (D17):18951-18954. 被引量:1
  • 5[5]Moran M S, Clarke T R, Inove, Y, et al. Estimating Crop Water Deficit Using the Relationship Between Surface-air Temperature and Spectral Vegetation Index [ J ]. Remote Sensing of Environment,1994, 49:246-263. 被引量:1
  • 6[6]Norman J M, Divakarla M, Goel N S. Algorithms for Extracting Information from Remote Thermal-IR Observations of the Earth' s Surface [ J]. Remote Sensing of Environment, 1995, 51: 157- 168. 被引量:1
  • 7[7]Kimes D S. Remote Sensing of Row Crop Structure and Component Temperatures Using Directional Radiometric Temperatures and Inversion Technique [J], Remote Sensing of Environment, 1983, 13:33-55. 被引量:1
  • 8[8]Walthall C, Roujean J L, Morisette J. Field and Landscape BRDF Optical Wavelength Measurements: Experience, Techniques and the Future [J], Remote Sensing Review, 2000, 18: 503-531. 被引量:1
  • 9[9]Sandmeier S R, Acquisition of Bidirectional Reflectance Factor Data with Field Goniometers[J], Remote Sensing of Environment, 2000,73: 247-269. 被引量:1
  • 10[10]Kimes D S, Kirchner J A. Directional Radiometric Measurements of Row-crop Temperatures [ J] . International Journal of Remote Sensing, 1983, 4:299-311. 被引量:1

共引文献9

同被引文献67

引证文献5

二级引证文献18

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部