Preface: Recent Advances in Remote Sensing for Crop Growth Monitoring
Author:
Publisher
MDPI AG
Subject
General Earth and Planetary Sciences
Link
http://www.mdpi.com/2072-4292/8/2/116/pdf
Reference16 articles.
1. Quantitative estimation of fluorescence parameters for crop leaves with bayesian inversion;Zhao;Remote Sens.,2015
2. Evaluation of six algorithms to monitor wheat leaf nitrogen concentration;Yao;Remote Sens.,2015
3. Spectral Index for Quantifying Leaf Area Index of Winter Wheat by Field Hyperspectral Measurements: A Case Study in Gifu Prefecture, Central Japan
4. Satellite remote sensing-based in-season diagnosis of rice nitrogen status in Northeast China;Huang;Remote Sens.,2015
5. Temporal dependency of yield and quality estimation through spectral vegetation indices in pear orchards;Van Beek;Remote Sens.,2015
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4. Harmonizing surface reflectance between Landsat-7 ETM + , Landsat-8 OLI, and Sentinel-2 MSI over China;Environmental Science and Pollution Research;2022-05-19
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