Title of article :
Remote sensing of sunlight-induced chlorophyll fluorescence and reflectance of Scots pine in the boreal forest during spring recovery
Author/Authors :
Louis، نويسنده , , Juliette and Ounis، نويسنده , , Abderrahmane and Ducruet، نويسنده , , Jean-Marc and Evain، نويسنده , , Sébastien and Laurila، نويسنده , , Tuomas and Thum، نويسنده , , Tea and Aurela، نويسنده , , Mika and Wingsle، نويسنده , , Gunnar and Alonso، نويسنده , , Luis and Pedros، نويسنده , , Roberto and Moya، نويسنده , , Ismaël، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2005
Abstract :
A measurement campaign to assess the feasibility of remote sensing of sunlight-induced chlorophyll fluorescence (ChlF) from a coniferous canopy was conducted in a boreal forest study site (Finland). A Passive Multi-wavelength Fluorescence Detector (PMFD) sensor, developed in the LURE laboratory, was used to obtain simultaneous measurements of ChlF in the oxygen absorption bands, at 687 and 760 nm, and a reflectance index, the PRI (Physiological Reflectance Index), for a month during spring recovery. When these data were compared with active fluorescence measurements performed on needles they revealed the same trend. During sunny days fluorescence and reflectance signals were found to be strongly influenced by shadows associated with the canopy structure. Moreover, chlorophyll fluorescence variations induced by rapid light changes (due to transient cloud shadows) were found to respond more quickly and with larger amplitude under summer conditions compared to those obtained under cold acclimation conditions. In addition, ChlF at 760 nm was observed to increase with the chlorophyll content. During this campaign, the CO2 assimilation was measured at the forest canopy level and was found remarkably well correlated with the PRI index.
Keywords :
Oxygen absorption band , CO2 flux , FLD principle , Boreal forest , Scots pine , Sunlight-induced chlorophyll fluorescence , PRI , Passive remote sensing , diurnal cycle
Journal title :
Remote Sensing of Environment
Journal title :
Remote Sensing of Environment