Retrieval of spruce leaf chlorophyll content from airborne image data using continuum removal and radiative transfer

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67179843%3A_____%2F13%3A00388390" target="_blank" >RIV/67179843:_____/13:00388390 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.rse.2012.12.015" target="_blank" >http://dx.doi.org/10.1016/j.rse.2012.12.015</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.rse.2012.12.015" target="_blank" >10.1016/j.rse.2012.12.015</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Retrieval of spruce leaf chlorophyll content from airborne image data using continuum removal and radiative transfer

Popis výsledku v původním jazyce

We investigate combined continuum removal and radiative transfer (RT) modeling to retrieve leaf chlorophyll a & b content (Cab) from the AISA Eagle airborne imaging spectrometer data of sub-meter (0.4 m) spatial resolution. Based on coupled PROSPECT-DARTRT simulations of a Norway spruce (Picea abies (L.) Karst.) stand, we propose a new Cab sensitive index located between 650 and 720 nm and termed ANCB650?720. The performance of ANCB650?720 was validated against ground-measured Cab of ten spruce crownsand compared with Cab estimated by a conventional artificial neural network (ANN) trained with continuum removed RT simulations and also by three previously published chlorophyll optical indices: normalized difference between reflectance at 925 and 710 nm (ND925&710), simple reflectance ratio between 750 and 710 nm (SR750/710) and the ratio of TCARI/OSAVI indices. Although all retrieval methods produced visually comparable Cab spatial patterns, the ground validation revealed that the ANC

Název v anglickém jazyce

Retrieval of spruce leaf chlorophyll content from airborne image data using continuum removal and radiative transfer

Popis výsledku anglicky

We investigate combined continuum removal and radiative transfer (RT) modeling to retrieve leaf chlorophyll a & b content (Cab) from the AISA Eagle airborne imaging spectrometer data of sub-meter (0.4 m) spatial resolution. Based on coupled PROSPECT-DARTRT simulations of a Norway spruce (Picea abies (L.) Karst.) stand, we propose a new Cab sensitive index located between 650 and 720 nm and termed ANCB650?720. The performance of ANCB650?720 was validated against ground-measured Cab of ten spruce crownsand compared with Cab estimated by a conventional artificial neural network (ANN) trained with continuum removed RT simulations and also by three previously published chlorophyll optical indices: normalized difference between reflectance at 925 and 710 nm (ND925&710), simple reflectance ratio between 750 and 710 nm (SR750/710) and the ratio of TCARI/OSAVI indices. Although all retrieval methods produced visually comparable Cab spatial patterns, the ground validation revealed that the ANC

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

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název periodika

Remote Sensing of Environment

ISSN

0034-4257

e-ISSN

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Svazek periodika

131

Číslo periodika v rámci svazku

APR

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

18

Strana od-do

85-102

Kód UT WoS článku

000315546900007

EID výsledku v databázi Scopus

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