Crop classification using spectral indices derived from Sentinel-2A imagery
Author:
Affiliation:
1. Smart Link Hokkaido, Iwamizawa, Japan
2. Research Faculty of Agriculture, Hokkaido University, Sapporo, Japan
3. Faculty of Agriculture, Shizuoka University, Shizuoka, Japan
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Computer Science (miscellaneous)
Link
https://www.tandfonline.com/doi/pdf/10.1080/24751839.2019.1694765
Reference105 articles.
1. Prediction of Potato Crop Yield Using Precision Agriculture Techniques
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4. Spectroscopy of canopy chemicals in humid tropical forests
5. Process-based image analysis for agricultural mapping: A case study in Turkgeldi region, Turkey
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