Assessing Vegetation Function with Imaging Spectroscopy

被引:108
作者
Gamon, J. A. [1 ,2 ,3 ]
Somers, B. [4 ]
Malenovsky, Z. [5 ,6 ,7 ]
Middleton, E. M. [7 ]
Rascher, U. [8 ]
Schaepman, M. E. [9 ,10 ]
机构
[1] Univ Alberta, Dept Earth & Atmospher Sci, Edmonton, AB T6G 2E1, Canada
[2] Univ Alberta, Dept Biol Sci, Edmonton, AB T6G 2E1, Canada
[3] Univ Nebraska, Sch Nat Resources, Lincoln, NE 68583 USA
[4] Katholieke Univ Leuven, Dept Earth & Environm Sci, B-3001 Leuven, Belgium
[5] Univ Tasmania, Sch Technol Environm & Design, Surveying & Spatial Sci Grp, Private Bag 76, Hobart, Tas 7001, Australia
[6] Global Change Res Inst CAS, Remote Sensing Dept, Belidla 986-4a, Brno 60300, Czech Republic
[7] NASA, Goddard Space Flight Ctr, Biospher Sci Lab, 8800 Greenbelt Rd, Greenbelt, MD 20771 USA
[8] Forschungszentrum Julich, IBG 2 Plant Sci, Inst Bio & Geosci, Wilhelm Johnen Str, D-52425 Julich, Germany
[9] Univ Zurich, Dept Geog, Remote Sensing Labs, Winterthurerstr 190, CH-8057 Zurich, Switzerland
[10] Univ Zurich, Univ Res Prior Program Global Change & Biodivers, Winterthurerstr 190, CH-8057 Zurich, Switzerland
基金
澳大利亚研究理事会; 加拿大自然科学与工程研究理事会;
关键词
Plant traits; Photosynthesis; Gross primary production (GPP); Spectroscopy; Multi-scale sampling; Solar-induced fluorescence (SIF); Spectral reflectance; Imaging spectrometry; LIGHT-USE EFFICIENCY; INDUCED CHLOROPHYLL FLUORESCENCE; PHOTOCHEMICAL REFLECTANCE INDEX; LEAF-AREA; WATER-CONTENT; TIME-SERIES; TRAITS; PHOTOSYNTHESIS; ECOSYSTEM; MODEL;
D O I
10.1007/s10712-019-09511-5
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Healthy vegetation function supports diverse biological communities and ecosystem processes, and provides crops, forest products, forage, and countless other benefits. Vegetation function can be assessed by examining dynamic processes and by evaluating plant traits, which themselves are dynamic. Using both trait-based and process-based approaches, spectroscopy can assess vegetation function at multiple scales using a variety of sensors and platforms ranging from proximal to airborne and satellite measurements. Since spectroscopic data are defined by the instruments and platforms available, along with their corresponding spatial, temporal and spectral scales, and since these scales may not always match those of the function of interest, consideration of scale is a necessary focus. For a full understanding of vegetation processes, combined (multi-scale) sampling methods using empirical and theoretical approaches are required, along with improved informatics.
引用
收藏
页码:489 / 513
页数:25
相关论文
共 156 条
[1]   Statistical Classification for Assessing PRISMA Hyperspectral Potential for Agricultural Land Use [J].
Amato, Umberto ;
Antoniadis, Anestis ;
Carfora, Maria Francesca ;
Colandrea, Paolo ;
Cuomo, Vincenzo ;
Franzese, Monica ;
Pignatti, Stefano ;
Serio, Carmine .
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2013, 6 (02) :615-625
[2]  
[Anonymous], 2019, SURV GEOPHYS
[3]  
[Anonymous], SCALING PHYSL PROCES
[4]  
[Anonymous], EVOLVING SYSTEMS
[5]  
[Anonymous], 2006, PLANT STRATEGIES VEG
[6]  
[Anonymous], 2011, GEOPHYS RES LETT, DOI DOI 10.1029/2011GL048738
[7]  
[Anonymous], SENS ENV, DOI DOI 10.1016/J.RSE.2009.01.007
[8]  
[Anonymous], 2009, REMOTE SENS ENVIRON, DOI DOI 10.1016/j.rse.2008.10.019
[9]  
[Anonymous], REMOTE SENS
[10]  
[Anonymous], J GEOPHYS RES ATMOS