Assessment of a canopy height model (CHM) in a vineyard using UAV-based multispectral imaging
Author:
Affiliation:
1. Institute of Biometeorology – IBIMET, National Research Council – CNR, Florence, Italy
2. Institute of Clinical Physiology – IFC, National Research Council – CNR, Pisa, Italy
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2016.1226002
Reference19 articles.
1. Very high resolution crop surface models (CSMs) from UAV-based stereo images for rice growth monitoring In Northeast China
2. Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley
3. Remote Sensing of Vegetation Structure Using Computer Vision
4. Automatic identification of agricultural terraces through object-oriented analysis of very high resolution DSMs and multispectral imagery obtained from an unmanned aerial vehicle
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