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Volumn 31, Issue 3, 2011, Pages 771-775
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A field-based pushbroom imaging spectrometer for estimating chlorophyll content of maize
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Author keywords
Chlorophyll content; Corn; Hyperspectral imaging; Vegetation indices
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Indexed keywords
CHLOROPHYLL CONTENTS;
COEFFICIENT OF DETERMINATION;
CORN;
CROP GROWTH;
DIGITAL AGRICULTURE;
DYNAMIC MONITORING;
FIELD SCALE;
HYPER-SPECTRAL IMAGES;
HYPERSPECTRAL IMAGING;
IMAGING SPECTROMETERS;
IMAGING TECHNOLOGY;
IN-FIELD;
MERGING TECHNOLOGIES;
MICRO-SCALES;
PREDICTION MODEL;
PUSHBROOM IMAGING SPECTROMETER;
QUANTITATIVE REMOTE SENSING;
REAL-TIME MANAGEMENT;
REFLECTANCE SPECTRUM;
SPECTRAL INDICES;
SPECTRAL INFORMATION;
SPECTRAL VEGETATION INDICES;
VEGETATION INDICES;
CHLOROPHYLL;
CROPS;
GRAIN (AGRICULTURAL PRODUCT);
MATHEMATICAL MODELS;
REMOTE SENSING;
SPECTROMETERS;
SPECTROMETRY;
VEGETATION;
CHLOROPHYLL;
AGRICULTURE;
ARTICLE;
CHEMISTRY;
MAIZE;
METHODOLOGY;
REMOTE SENSING;
SPECTROSCOPY;
AGRICULTURE;
CHLOROPHYLL;
REMOTE SENSING TECHNOLOGY;
SPECTRUM ANALYSIS;
ZEA MAYS;
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EID: 79953173990
PISSN: 10000593
EISSN: None
Source Type: Journal
DOI: 10.3964/j.issn.1000-0593(2011)03-0771-05 Document Type: Article |
Times cited : (21)
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References (22)
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