A visible band index for remote sensing leaf chlorophyll content at the canopy scale
نویسندگان
چکیده
منابع مشابه
A visible band index for remote sensing leaf chlorophyll content at the canopy scale
Leaf chlorophyll content is an important variable for agricultural remote sensing because of its close relationship to leaf nitrogen content. The triangular greenness index (TGI) was developed based on the area of a triangle surrounding the spectral features of chlorophyll with points at (670 nm, R670), (550 nm, R550), and (480 nm, R480), where R is the spectral reflectance at wavelengths of 67...
متن کاملRemote Sensing Leaf Chlorophyll Content Using a Visible Band Index
Published in Agron. J. 103:1090–1099 (2011) Posted online 2 May 2011 doi:10.2134/agronj2010.0395 Copyright © 2011 by the American Society of Agronomy, 5585 Guilford Road, Madison, WI 53711. All rights reserved. No part of this periodical may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retri...
متن کاملNon-destructive determination of maize leaf and canopy chlorophyll content.
The objective of this study was to develop a rapid non-destructive technique to estimate total chlorophyll (Chl) content in a maize canopy using Chl content in a single leaf. The approach was (1) to calibrate and validate a reflectance-based non-destructive technique to estimate leaf Chl in maize; (2) to quantify the relative contribution of each leaf Chl to the total Chl in the canopy; and (3)...
متن کاملRemote estimation of canopy chlorophyll content in crops
[1] Accurate estimation of spatially distributed chlorophyll content (Chl) in crops is of great importance for regional and global studies of carbon balance and responses to fertilizer (e.g., nitrogen) application. In this paper a recently developed conceptual model was applied for remotely estimating Chl in maize and soybean canopies. We tuned the spectral regions to be included in the model, ...
متن کاملUtility of an image-based canopy reflectance modeling tool for remote estimation of LAI and leaf chlorophyll content at the field scale
Article history: This paper presents a phy Received 25 January 2008 Received in revised form 25 September 2008 Accepted 27 September 2008
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ژورنال
عنوان ژورنال: International Journal of Applied Earth Observation and Geoinformation
سال: 2013
ISSN: 0303-2434
DOI: 10.1016/j.jag.2012.07.020