Predicting Forage Quality of Grasslands Using UAV-Borne Imaging Spectroscopy
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Title
Predicting Forage Quality of Grasslands Using UAV-Borne Imaging Spectroscopy
Authors
Keywords
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Journal
Remote Sensing
Volume 12, Issue 1, Pages 126
Publisher
MDPI AG
Online
2020-01-03
DOI
10.3390/rs12010126
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- Satellite remote sensing of grasslands: from observation to management
- (2016) Iftikhar Ali et al. Journal of Plant Ecology
- Satellite remote sensing of grasslands: from observation to management
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- (2012) Fadzai M. Zengeya et al. International Journal of Applied Earth Observation and Geoinformation
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- In-field hyperspectral proximal sensing for estimating quality parameters of mixed pasture
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