中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 武汉物理与数学研究所
  3. 中国科学院武汉物理与数学研究所
Analyzing the performance of PROSPECT model inversion based on different spectral information for leaf biochemical properties retrieval

文献类型：期刊论文

作者Sun, Jia1,2; Shi, Shuo1,3; Yang, Jian3; Du, Lin; Gong, Wei1,2; Chen, Biwu1; Song, Shalei4
刊名ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
出版日期2018
卷号135页码:74-83
关键词Leaf Optical Properties Prospect Hyperspectral Data Biochemistry
ISSN号0924-2716
DOI10.1016/j.isprsjprs.2017.11.010
文献子类Article
英文摘要Leaf biochemical constituents provide useful information about major ecological processes. As a fast and nondestructive method, remote sensing techniques are critical to reflect leaf biochemistry via models. PROSPECT model has been widely applied in retrieving leaf traits by providing hemispherical reflectance and transmittance. However, the process of measuring both reflectance and transmittance can be time-consuming and laborious. Contrary to use reflectance spectrum alone in PROSPECT model inversion, which has been adopted by many researchers, this study proposes to use transmission spectrum alone, with the increasing availability of the latter through various remote sensing techniques. Then we analyzed the performance of PROSPECT model inversion with (1) only transmission spectrum, (2) only reflectance and (3) both reflectance and transmittance, using synthetic datasets (with varying levels of random noise and systematic noise) and two experimental datasets (LOPEX and ANGERS). The results show that (1) PROSPECT-5 model inversion based solely on transmission spectrum is viable with results generally better than that based solely on reflectance spectrum; (2) leaf dry matter can be better estimated using only transmittance or reflectance than with both reflectance and transmittance spectra. (C) 2017 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.
WOS关键词OPTICAL-PROPERTIES MODEL ; ECOSYSTEM PROCESSES ; VEGETATION INDEXES ; LIGHT-SCATTERING ; REFLECTANCE ; CANOPY ; TRANSMITTANCE ; CHLOROPHYLL ; LEAVES ; CROP
WOS研究方向Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000423895100006
出版者ELSEVIER SCIENCE BV
资助机构National Natural Science Foundation of China(41601360 ; National Natural Science Foundation of China(41601360 ; Program for Changjiang Scholars and Innovative Research Team in University of Ministry of Education of China(IRT1278) ; Program for Changjiang Scholars and Innovative Research Team in University of Ministry of Education of China(IRT1278) ; Fundamental Research Funds for the Central Universities, China University of Geosciences, Wuhan(CUG170661) ; Fundamental Research Funds for the Central Universities, China University of Geosciences, Wuhan(CUG170661) ; 41611130114) ; 41611130114) ; National Natural Science Foundation of China(41601360 ; National Natural Science Foundation of China(41601360 ; Program for Changjiang Scholars and Innovative Research Team in University of Ministry of Education of China(IRT1278) ; Program for Changjiang Scholars and Innovative Research Team in University of Ministry of Education of China(IRT1278) ; Fundamental Research Funds for the Central Universities, China University of Geosciences, Wuhan(CUG170661) ; Fundamental Research Funds for the Central Universities, China University of Geosciences, Wuhan(CUG170661) ; 41611130114) ; 41611130114) ; National Natural Science Foundation of China(41601360 ; National Natural Science Foundation of China(41601360 ; Program for Changjiang Scholars and Innovative Research Team in University of Ministry of Education of China(IRT1278) ; Program for Changjiang Scholars and Innovative Research Team in University of Ministry of Education of China(IRT1278) ; Fundamental Research Funds for the Central Universities, China University of Geosciences, Wuhan(CUG170661) ; Fundamental Research Funds for the Central Universities, China University of Geosciences, Wuhan(CUG170661) ; 41611130114) ; 41611130114) ; National Natural Science Foundation of China(41601360 ; National Natural Science Foundation of China(41601360 ; Program for Changjiang Scholars and Innovative Research Team in University of Ministry of Education of China(IRT1278) ; Program for Changjiang Scholars and Innovative Research Team in University of Ministry of Education of China(IRT1278) ; Fundamental Research Funds for the Central Universities, China University of Geosciences, Wuhan(CUG170661) ; Fundamental Research Funds for the Central Universities, China University of Geosciences, Wuhan(CUG170661) ; 41611130114) ; 41611130114)
源URL[http://ir.wipm.ac.cn/handle/112942/12836]  
专题中国科学院武汉物理与数学研究所
通讯作者Shi, Shuo; Yang, Jian
作者单位1.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Hubei, Peoples R China
2.Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Hubei, Peoples R China
3.China Univ Geosci, Fac Informat Engn, Wuhan 430074, Hubei, Peoples R China
4.Chinese Acad Sci, Wuhan Inst Phys & Math, Wuhan 430071, Hubei, Peoples R China
推荐引用方式
GB/T 7714		 Sun, Jia,Shi, Shuo,Yang, Jian,et al. Analyzing the performance of PROSPECT model inversion based on different spectral information for leaf biochemical properties retrieval[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2018,135:74-83.
APA Sun, Jia.,Shi, Shuo.,Yang, Jian.,Du, Lin.,Gong, Wei.,...&Song, Shalei.(2018).Analyzing the performance of PROSPECT model inversion based on different spectral information for leaf biochemical properties retrieval.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,135,74-83.
MLA Sun, Jia,et al."Analyzing the performance of PROSPECT model inversion based on different spectral information for leaf biochemical properties retrieval".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 135(2018):74-83.

入库方式： OAI收割

来源：武汉物理与数学研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。