A CANOPY RADIATIVE TRANSFER MODEL SUITABLE FOR HETEROGENEOUS AGRO-FORESTRY SCENES

doi:10.1109/IGARSS.2016.7729945

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > 数字山地与遥感应用中心

	A CANOPY RADIATIVE TRANSFER MODEL SUITABLE FOR HETEROGENEOUS AGRO-FORESTRY SCENES
	Zeng Yelu 1,3,4; Li Jing 3,4; Liu Qinhuo 3,4; Yin Gaofei 2,3; Xu Baodong 1,3; Fan Weiliang 3; Zhao Jing 3
	2016
会议日期	JUL 10-15, 2016
会议地点	Beijing
关键词	Landscape heterogeneity Canopy structure Radiative transfer Hemispherical-directional reflectance factor (HDRF) Agro-forestry system
DOI	10.1109/IGARSS.2016.7729945
页码	3648-3651
国家	PEOPLES R CHINA
英文摘要	Landscape heterogeneity is a common natural phenomenon but is seldom considered in current radiative transfer models for predicting the surface reflectance. This paper developed an analytical Radiative Transfer model for heterogeneous Agro-Forestry scenes (RTAF). The scattering contribution of the non-boundary regions can be estimated from the SAILH model as homogeneous canopies, whereas that of the boundary regions is calculated based on the bidirectional gap probability by considering the interactions and mutual shadowing effects among different patches. The multiangular airborne observations and Discrete Anisotropic Radiative Transfer (DART) model simulations were used to validate and evaluate the RTAF model over an agro-forestry scene in Heihe River Basin, China. The results suggest the RTAF model can accurately simulate the hemisphericaldirectional reflectance factors (HDRFs) of the heterogeneous scenes in the red and near-infrared (NIR) bands. The boundary effect can significantly influence the angular distribution of the HDRFs and consequently enlarge the HDRF variations between the backward and forward directions. Compared with the widely used dominant cover type (DCT) and spectral linear mixture (SLM) models, the RTAF model reduced the maximum relative error from 25.7% (SLM) and 23.0% (DCT) to 9.8% in the red band, and from 19.6% (DCT) and 13.7% (SLM) to 8.7% in the NIR band. The RTAF model provides a promising way to improve the retrieval of biophysical parameters (e. g. leaf area index) from remote sensing data over heterogeneous agro-forestry scenes.
产权排序	4
会议录	2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
会议录出版者	IEEE
会议录出版地	NEW YORK
语种	英语
ISSN号	2153-6996
ISBN号	978-1-5090-3332-4
WOS记录号	WOS:000388114603170
内容类型	会议论文
源URL	[http://ir.imde.ac.cn/handle/131551/35222]
专题	成都山地灾害与环境研究所_数字山地与遥感应用中心
通讯作者	Li Jing; Liu Qinhuo
作者单位	1.College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China; 2.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China 3.State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100101, China; 4.Joint Center for Global Change Studies, Beijing, 100875, China;
推荐引用方式 GB/T 7714	Zeng Yelu,Li Jing,Liu Qinhuo,et al. A CANOPY RADIATIVE TRANSFER MODEL SUITABLE FOR HETEROGENEOUS AGRO-FORESTRY SCENES[C]. 见:. Beijing. JUL 10-15, 2016.