Deriving Vegetation Indices for 3D Canopy Chlorophyll Content Mapping Using Radiative Transfer Modelling

被引:1
|
作者
Elsherif, Ahmed [1 ]
Smigaj, Magdalena [2 ]
Gaulton, Rachel [3 ]
Gastellu-Etchegorry, Jean-Philippe [4 ]
Shenkin, Alexander [5 ]
机构
[1] Tanta Univ, Fac Engn, Tanta 31527, Egypt
[2] Wageningen Univ & Res, Lab Geoinformat Sci & Remote Sensing, NL-6708 PB Wageningen, Netherlands
[3] Newcastle Univ, Sch Nat & Environm Sci, Newcastle NE1 7RU, England
[4] Univ Toulouse, CESBIO, CNES, CNRS,IRD,UT3, F-31401 Toulouse 09, France
[5] Northern Arizona Univ Flagstaff, Sch Informat Comp & Cyber Syst, Flagstaff, AZ 86011 USA
来源
FORESTS | 2024年 / 15卷 / 11期
关键词
forest health; terrestrial LiDAR; plant health monitoring; terrestrial laser scanning; the DART model; 3D RTM; remote sensing of vegetation; REMOTE-SENSING DATA; LEAF CHLOROPHYLL; SPECTRAL REFLECTANCE; VERTICAL PROFILE; WATER-CONTENT; POINT CLOUD; FOREST; FRAMEWORK; NDVI;
D O I
10.3390/f15111878
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
Leaf chlorophyll content is a major indicator of plant health and productivity. Optical remote sensing estimation of chlorophyll limits its retrievals to two-dimensional (2D) estimates, not allowing examination of its distribution within the canopy, although it exhibits large variation across the vertical profile. Multispectral and hyperspectral Terrestrial Laser Scanning (TLS) instruments can produce three-dimensional (3D) chlorophyll estimates but are not widely available. Thus, in this study, 14 chlorophyll vegetation indices were developed using six wavelengths employed in commercial TLS instruments (532 nm, 670 nm, 808 nm, 785 nm, 1064 nm, and 1550 nm). For this, 200 simulations were carried out using the novel bidirectional mode in the Discrete Anisotropic Radiative Transfer (DART) model and a realistic forest stand. The results showed that the Green Normalized Difference Vegetation Index (GNDVI) of the 532 nm and either the 808 nm or the 785 nm wavelengths were highly correlated to the chlorophyll content (R2 = 0.74). The Chlorophyll Index (CI) and Green Simple Ratio (GSR) of the same wavelengths also displayed good correlation (R2 = 0.73). This study was a step towards canopy 3D chlorophyll retrieval using commercial TLS instruments, but methods to couple the data from the different instruments still need to be developed.
引用
收藏
页数:22
相关论文
共 50 条
  • [31] 3D maps of vegetation indices generated onboard a precision agriculture UAV
    Ramirez, German
    de Oca, Andres Montes
    Flores, Gerardo
    2023 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS, ICUAS, 2023, : 564 - 571
  • [32] Retrieving 3D distributions of atmospheric particles using AtmosphericTomography with 3D Radiative Transfer - Part 1: Model description and Jacobian calculation
    Loveridge, Jesse
    Levis, Aviad
    Di Girolamo, Larry
    Holodovsky, Vadim
    Forster, Linda
    Davis, Anthony B.
    Schechner, Yoav Y.
    ATMOSPHERIC MEASUREMENT TECHNIQUES, 2023, 16 (07) : 1803 - 1847
  • [33] CFD modelling and wind tunnel validation of airflow through plant canopies using 3D canopy architecture
    Endalew, A. Melese
    Hertog, M.
    Delele, M. A.
    Baetens, K.
    Persoons, T.
    Baelmans, M.
    Ramon, H.
    Nicolai, B. M.
    Verboven, P.
    INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW, 2009, 30 (02) : 356 - 368
  • [34] Estimating 3D Chlorophyll Content Distribution of Trees Using an Image Fusion Method Between 2D Camera and 3D Portable Scanning Lidar
    Hosoi, Fumiki
    Umeyama, Sho
    Kuo, Kuangting
    REMOTE SENSING, 2019, 11 (18)
  • [35] Canopy chlorophyll content and LAI estimation from Sentinel-2: vegetation indices and Sentinel-2 Level-2A automatic products comparison
    Pasqualotto, Nieves
    Bolognesi, Salvatore Falanga
    Belfiore, Oscar Rosario
    Delegido, Jesus
    D'Urso, Guido
    Moreno, Jose
    2019 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR AGRICULTURE AND FORESTRY (METROAGRIFOR), 2019, : 301 - 306
  • [36] Optimized Estimation of Leaf Mass per Area with a 3D Matrix of Vegetation Indices
    Chen, Yuwen
    Sun, Jia
    Wang, Lunche
    Shi, Shuo
    Gong, Wei
    Wang, Shaoqiang
    Tagesson, Torbern
    REMOTE SENSING, 2021, 13 (18)
  • [37] Simulation of Multitemporal and Hyperspectral Vegetation Canopy Bidirectional Reflectance Using Detailed Virtual 3-D Canopy Models
    Kuester, Theres
    Spengler, Daniel
    Barczi, Jean-Francois
    Segl, Karl
    Hostert, Patrick
    Kaufmann, Hermann
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2014, 52 (04): : 2096 - 2108
  • [38] Simulating Imaging Spectroscopy in Tropical Forest with 3D Radiative Transfer Modeling
    Ebengo, Dav M.
    de Boissieu, Florian
    Vincent, Gregoire
    Weber, Christiane
    Feret, Jean-Baptiste
    REMOTE SENSING, 2021, 13 (11)
  • [39] 3D LANDSCAPE MODELLING FOR ASSESSING EFFECTIVENESS OF VEGETATION CONSERVATION ON AN URBAN NATURE RESERVE
    Munyati, Chris
    Moeti, Thabiso
    2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 3657 - 3660
  • [40] Estimating canopy gap fraction and diffuse light interception in 3D maize canopy using hierarchical hemispheres
    Wen, Weiliang
    Guo, Xinyu
    Li, Baojun
    Wang, Chuanyu
    Wang, Yongjian
    Yu, Zetao
    Wu, Sheng
    Fan, Jiangchuan
    Gu, Shenghao
    Lu, Xianju
    AGRICULTURAL AND FOREST METEOROLOGY, 2019, 276