Ground versus aerial canopy reflectance of corn: Red‐edge and non‐red edge vegetation indices
نویسندگان
چکیده
منابع مشابه
Estimating Corn Leaf Chlorophyll Concentration from Leaf and Canopy Reflectance
Farmers must balance the competing goals of supplying contributions of background reflectance, while spectral vegetation indices that combined reflectances of near-infrared adequate N for their crops while minimizing N losses to the environment. To characterize the spatial variability of N and other visible bands (MCARI and NIR/Green) were responsive to both leaf chlorophyll concentrations and ...
متن کاملWater and Nitrogen Effects on Active Canopy Sensor Vegetation Indices
Published in Agron. J. 103:1815–1826 (2011) Posted online 28 Sept 2011 doi:10.2134/agronj2011.0199 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 ret...
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Several vegetation indices (VI) derived from handheld spectroradiometer reflectance data in the visible spectral region were tested for modelling grapevine water status estimated by the predawn leaf water potential (Ψpd). The experimental trial was carried out in a vineyard in Douro wine region, Portugal. A statistical approach was used to evaluate which VI and which combination of wavelengths ...
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Measurement of vegetation photosynthetic activity from space has been an objective for the development of new techniques. Among the different existing techniques, passive fluorescence measurements, specific reflectance indices such as the PRI (Photochemical Reflectance Index), and derivative of high spectral resolution reflectance in the red-edge (680-750 nm) are the three methods than can be u...
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Leaf area index (LAI) and biomass are important indicators of crop development and the availability of this information during the growing season can support farmer decision making processes. This study demonstrates the applicability of RapidEye multi-spectral data for estimation of LAI and biomass of two crop types (corn and soybean) with different canopy structure, leaf structure and photosyn...
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ژورنال
عنوان ژورنال: Agronomy Journal
سال: 2021
ISSN: 0002-1962,1435-0645
DOI: 10.1002/agj2.20657