ESTIMATION OF CANOPY PARAMETERS OF ROW PLANTED VEGETATION CANOPIES USING REFLECTANCE DATA FOR ONLY 4 VIEW DIRECTIONS

被引:13
|
作者
GOEL, NS
GRIER, T
机构
[1] State Univ of New York, Binghamton,, NY, USA, State Univ of New York, Binghamton, NY, USA
关键词
GRAIN - Remote Sensing - OPTICAL VARIABLES MEASUREMENT;
D O I
10.1016/0034-4257(87)90005-8
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A procedure for estimating leaf area index (LAI) and percentage of ground cover (CG) for inhomogeneous row planted vegetation canopies using measurement of canopy reflectance (CR) data for only four directions is presented. This procedure, referred to as 'reconstructive inversion,' uses the CR data for these directions to first 'reconstruct' the complete bidirectional surface, which is then used to estimate the canopy parameters using the standard inversion of a CR model technique. The technique has been successfully applied to soybean and corn canopies in various stages of growth.
引用
收藏
页码:37 / 51
页数:15
相关论文
共 45 条
  • [22] Improving Remote Estimation of Vegetation Phenology Using GCOM-C/SGLI Land Surface Reflectance Data
    Li, Mengyu
    Yang, Wei
    Kondoh, Akihiko
    [J]. REMOTE SENSING, 2022, 14 (16)
  • [23] EXTRACTION OF VEGETATION BIOPHYSICAL PARAMETERS BY INVERSION OF THE PROSPECT PLUS SAIL MODELS ON SUGAR-BEET CANOPY REFLECTANCE DATA - APPLICATION TO TM AND AVIRIS SENSORS
    JACQUEMOUD, S
    BARET, F
    ANDRIEU, B
    DANSON, FM
    JAGGARD, K
    [J]. REMOTE SENSING OF ENVIRONMENT, 1995, 52 (03) : 163 - 172
  • [24] Vegetation Sensing Using GPS-Interferometric Reflectometry: Theoretical Effects of Canopy Parameters on Signal-to-Noise Ratio Data
    Chew, Clara C.
    Small, Eric E.
    Larson, Kristine M.
    Zavorotny, Valery U.
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2015, 53 (05): : 2755 - 2764
  • [25] Comparison of methods for estimation of absolute vegetation and soil fractional cover using MODIS normalized BRDF-adjusted reflectance data
    Okin, Gregory S.
    Clarke, Kenneth D.
    Lewis, Megan M.
    [J]. REMOTE SENSING OF ENVIRONMENT, 2013, 130 : 266 - 279
  • [26] Estimation of Forest Structural Parameters Using UAV-LiDAR Data and a Process-Based Model in Ginkgo Planted Forests
    Cao, Lin
    Liu, Kun
    Shen, Xin
    Wu, Xiangqian
    Liu, Hao
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 12 (11) : 4175 - 4190
  • [27] ESTIMATION OF LEAF AREA INDEX BY USING MULTI-ANGULAR HYPERSPECTRAL IMAGING DATA BASED ON THE TWO-LAYER CANOPY REFLECTANCE MODEL
    Liao, Qinhong
    Zhao, Chunjiang
    Yang, Guijun
    Coburn, Craig
    Wang, Jihua
    Zhang, Dongyan
    Wang, Zhijie
    [J]. INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2013, 19 (03): : 295 - 304
  • [28] Optimization techniques for the estimation of the thickness and the optical parameters of thin films using reflectance data -: art. no. 043512
    Ventura, SD
    Birgin, EG
    Martínez, JM
    Chambouleyron, I
    [J]. JOURNAL OF APPLIED PHYSICS, 2005, 97 (04)
  • [29] Polarimetric Decomposition Parameters for Artificial Forest Canopy Biomass Estimation Using GF-3 Fully Polarimetric SAR Data
    Wei J.
    Fan W.
    Yu Y.
    Mao X.
    [J]. Linye Kexue/Scientia Silvae Sinicae, 2020, 56 (09): : 174 - 183
  • [30] Estimation of Nitrogen Content on Apple Tree Canopy through Red-Edge Parameters from Fractional-Order Differential Operators using Hyperspectral Reflectance
    Peng, Yufeng
    Zhu, Xicun
    Xiong, Jingling
    Yu, Ruiyang
    Liu, Tianlin
    Jiang, Yuanmao
    Yang, Guijun
    [J]. JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2021, 49 (02) : 377 - 392