Vineyard properties extraction combining UAS-based RGB imagery with elevation data
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Vineyard properties extraction combining UAS-based RGB imagery with elevation data
Authors
Keywords
-
Journal
INTERNATIONAL JOURNAL OF REMOTE SENSING
Volume -, Issue -, Pages 1-25
Publisher
Informa UK Limited
Online
2018-05-11
DOI
10.1080/01431161.2018.1471548
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- UAS, sensors, and data processing in agroforestry: a review towards practical applications
- (2017) Luís Pádua et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Individual plant definition and missing plant characterization in vineyards from high-resolution UAV imagery
- (2017) Jacopo Primicerio et al. European Journal of Remote Sensing
- Detection and Segmentation of Vine Canopy in Ultra-High Spatial Resolution RGB Imagery Obtained from Unmanned Aerial Vehicle (UAV): A Case Study in a Commercial Vineyard
- (2017) Carlos Poblete-Echeverría et al. Remote Sensing
- Detection of Flavescence dorée Grapevine Disease Using Unmanned Aerial Vehicle (UAV) Multispectral Imagery
- (2017) Johanna Albetis et al. Remote Sensing
- Using 3D Point Clouds Derived from UAV RGB Imagery to Describe Vineyard 3D Macro-Structure
- (2017) Marie Weiss et al. Remote Sensing
- Assessment of a canopy height model (CHM) in a vineyard using UAV-based multispectral imaging
- (2016) Alessandro Matese et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- High Throughput Field Phenotyping of Wheat Plant Height and Growth Rate in Field Plot Trials Using UAV Based Remote Sensing
- (2016) Fenner Holman et al. Remote Sensing
- Vineyard detection from unmanned aerial systems images
- (2015) Lorenzo Comba et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley
- (2015) Juliane Bendig et al. International Journal of Applied Earth Observation and Geoinformation
- Intercomparison of UAV, Aircraft and Satellite Remote Sensing Platforms for Precision Viticulture
- (2015) Alessandro Matese et al. Remote Sensing
- Unsupervised classification of very high remotely sensed images for grapevine rows detection
- (2014) Nicola Puletti et al. European Journal of Remote Sensing
- Examining the relationship between the Enhanced Vegetation Index and grapevine phenology
- (2014) Helder Fraga et al. European Journal of Remote Sensing
- Mapping crop water stress index in a ‘Pinot-noir’ vineyard: comparing ground measurements with thermal remote sensing imagery from an unmanned aerial vehicle
- (2013) J. Bellvert et al. PRECISION AGRICULTURE
- Visualizing and Quantifying Vineyard Canopy LAI Using an Unmanned Aerial Vehicle (UAV) Collected High Density Structure from Motion Point Cloud
- (2013) Adam Mathews et al. Remote Sensing
- A visible band index for remote sensing leaf chlorophyll content at the canopy scale
- (2012) E. Raymond Hunt et al. International Journal of Applied Earth Observation and Geoinformation
- Assessment of vineyard water status variability by thermal and multispectral imagery using an unmanned aerial vehicle (UAV)
- (2012) Javier Baluja et al. IRRIGATION SCIENCE
- Using remote sensing to predict grape phenolics and colour at harvest in a Cabernet Sauvignon vineyard: Timing observations against vine phenology and optimising image resolution
- (2010) D.W. LAMB et al. AUSTRALIAN JOURNAL OF GRAPE AND WINE RESEARCH
- The potential of spectral reflectance technique for the detection of Grapevine leafroll-associated virus-3 in two red-berried wine grape cultivars
- (2009) Rayapati A. Naidu et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started