Measuring the response of canopy emissivity spectra to leaf area index variation using thermal hyperspectral data

被引:19
作者
Neinavaz, Elnaz [1 ]
Darvishzadeh, Roshanak [1 ]
Skidmore, Andrew K. [1 ]
Groen, Thomas A. [1 ]
机构
[1] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, Dept Nat Resources Sci, Hengelosestr 99, NL-7500 AE Enschede, Netherlands
来源
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION | 2016年 / 53卷
关键词
Thermal infrared; Hyperspectral; Emissivity spectra; Leaf area index; Vegetation; PRINCIPAL COMPONENT ANALYSIS; MU-M; VEGETATION INDEXES; INFRARED-SPECTRA; WATER-CONTENT; REFLECTANCE; TEMPERATURE; IMAGERY; LEAVES; MODEL;
D O I
10.1016/j.jag.2016.08.002
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
One of the plant biophysical factors affecting the canopy spectral reflectance of plants in the optical domain to receive research attention in recent decades is leaf area index (LAI). Although it is expected that the value of LAI affects the emission of radiation, it not known how. To our knowledge, the effect of LAI on plant canopy emissivity spectra has not yet been investigated in the thermal infrared region (TIR 8-14 mu m). The overall aim of this study was to demonstrate the effect of LAI on canopy emissivity spectra of different species at the nadir position. The 279 spectral wavebands in the TIR domain were measured under controlled laboratory condition using a MIDAC spectrometer for four plant species. The corresponding LAI of each measurement was destructively calculated. We found a positive correlation between canopy emissivity spectra at various LAI values, indicating that emissivity increases concomitantly with LAI value. The canopy emissivity spectra of the four species were found to be statistically different at various wavebands even when the LAI values of the species were similar. It seems that other biophysical or biochemical factors also contribute to canopy emissivity spectra: this merits further investigation, We not only quantify the role of LAI on canopy emissivity spectra for the first time, but also demonstrate the potential of using hyperspectral thermal data to estimate LAI of plant species. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:40 / 47
页数:8
相关论文
共 51 条
[1]  
[Anonymous], 2013, VOL 1 EVAPORATION AT
[2]   Global synthesis of leaf area index observations: implications for ecological and remote sensing studies [J].
Asner, GP ;
Scurlock, JMO ;
Hicke, JA .
GLOBAL ECOLOGY AND BIOGEOGRAPHY, 2003, 12 (03) :191-205
[3]   Biophysical and biochemical sources of variability in canopy reflectance [J].
Asner, GP .
REMOTE SENSING OF ENVIRONMENT, 1998, 64 (03) :234-253
[4]   POTENTIALS AND LIMITS OF VEGETATION INDEXES FOR LAI AND APAR ASSESSMENT [J].
BARET, F ;
GUYOT, G .
REMOTE SENSING OF ENVIRONMENT, 1991, 35 (2-3) :161-173
[5]   TEMPERATURE-INDEPENDENT SPECTRAL INDEXES IN THERMAL INFRARED BANDS [J].
BECKER, F ;
LI, ZL .
REMOTE SENSING OF ENVIRONMENT, 1990, 32 (01) :17-33
[6]   Airborne multispectral data for quantifying leaf area index, nitrogen concentration, and photosynthetic efficiency in agriculture [J].
Boegh, E ;
Soegaard, H ;
Broge, N ;
Hasager, CB ;
Jensen, NO ;
Schelde, K ;
Thomsen, A .
REMOTE SENSING OF ENVIRONMENT, 2002, 81 (2-3) :179-193
[7]   Changes in thermal infrared spectra of plants caused by temperature and water stress [J].
Buitrago, Maria F. ;
Groen, Thomas A. ;
Hecker, Christoph A. ;
Skidmore, Andrew K. .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2016, 111 :22-31
[8]   Denoising Hyperspectral Imagery Using Principal Component Analysis and Block-Matching 4D Filtering [J].
Chen, Guangyi ;
Bui, Tien D. ;
Quach, Kha Gia ;
Qian, Shen-En .
CANADIAN JOURNAL OF REMOTE SENSING, 2014, 40 (01) :60-66
[9]   Estimating the foliar biochemical concentration of leaves with reflectance spectrometry testing the Kokaly and Clark methodologies [J].
Curran, PJ ;
Dungan, JL ;
Peterson, DL .
REMOTE SENSING OF ENVIRONMENT, 2001, 76 (03) :349-359
[10]   Spectral reflectance and emissivity features of broad leaf plants:: Prospects for remote sensing in the thermal infrared (8.0-14.0 μm) [J].
da Luz, Beatriz Ribeiro ;
Crowley, James K. .
REMOTE SENSING OF ENVIRONMENT, 2007, 109 (04) :393-405