Estimation of Spruce Needle-Leaf Chlorophyll Content Based on DART and PARAS Canopy Reflectance Models

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67179843%3A_____%2F15%3A00455022" target="_blank" >RIV/67179843:_____/15:00455022 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/JSTARS.2015.2400418" target="_blank" >http://dx.doi.org/10.1109/JSTARS.2015.2400418</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/JSTARS.2015.2400418" target="_blank" >10.1109/JSTARS.2015.2400418</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Estimation of Spruce Needle-Leaf Chlorophyll Content Based on DART and PARAS Canopy Reflectance Models

Popis výsledku v původním jazyce

Needle-leaf chlorophyll content (Cab) of a Norway spruce stand was estimated from CHRIS-PROBA images using the canopy reflectance simulated by the PROSPECT model coupled with two canopy reflectance models: 1) discrete anisotropic radiative transfer model(DART); and 2) PARAS. The DART model uses a detailed description of the forest scene, whereas PARAS is based on the photon recollision probability theory and uses a simplified forest structural description. Subsequently, statistically significant empirical functions between the optical indices ANCB(670-720) and ANMB(670-720) and the needle-leaf Cab content were established and then applied to CHRIS-PROBA data. The Cab estimating regressions using ANMB(670-720) were more robust than using ANCB(670-720)since the latter was more sensitive to LAI, especially in case of PARAS. Comparison between Cab estimates showed strong linear correlations between PARAS and DART retrievals, with a nearly perfect one-to-one fit when using ANMB(670-720) (

Název v anglickém jazyce

Estimation of Spruce Needle-Leaf Chlorophyll Content Based on DART and PARAS Canopy Reflectance Models

Popis výsledku anglicky

Needle-leaf chlorophyll content (Cab) of a Norway spruce stand was estimated from CHRIS-PROBA images using the canopy reflectance simulated by the PROSPECT model coupled with two canopy reflectance models: 1) discrete anisotropic radiative transfer model(DART); and 2) PARAS. The DART model uses a detailed description of the forest scene, whereas PARAS is based on the photon recollision probability theory and uses a simplified forest structural description. Subsequently, statistically significant empirical functions between the optical indices ANCB(670-720) and ANMB(670-720) and the needle-leaf Cab content were established and then applied to CHRIS-PROBA data. The Cab estimating regressions using ANMB(670-720) were more robust than using ANCB(670-720)since the latter was more sensitive to LAI, especially in case of PARAS. Comparison between Cab estimates showed strong linear correlations between PARAS and DART retrievals, with a nearly perfect one-to-one fit when using ANMB(670-720) (

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

EH - Ekologie – společenstva

OECD FORD obor

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Projekt

<a href="/cs/project/ED1.1.00%2F02.0073" target="_blank" >ED1.1.00/02.0073: CzechGlobe ? Centrum pro studium dopadu globální zmeny klimatu</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

ISSN

1939-1404

e-ISSN

—

Svazek periodika

8

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

10

Strana od-do

1534-1544

Kód UT WoS článku

000358568900015

EID výsledku v databázi Scopus

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