{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T00:40:25Z","timestamp":1774399225751,"version":"3.50.1"},"reference-count":42,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2017,1,28]],"date-time":"2017-01-28T00:00:00Z","timestamp":1485561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"European Seventh Funding Programme (FP7-SME)","award":["286608"],"award-info":[{"award-number":["286608"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In the context of precision viticulture, remote sensing in the optical domain offers a potential way to map crop structure characteristics, such as vegetation cover fraction, row orientation or leaf area index, that are later used in decision support tools. A method based on the RGB color model imagery acquired with an unmanned aerial vehicle (UAV) is proposed to describe the vineyard 3D macro-structure. The dense point cloud is first extracted from the overlapping RGB images acquired over the vineyard using the Structure from Motion algorithm implemented in the Agisoft PhotoScan software. Then, the terrain altitude extracted from the dense point cloud is used to get the 2D distribution of height of the vineyard. By applying a threshold on the height, the rows are separated from the row spacing. Row height, width and spacing are then estimated as well as the vineyard cover fraction and the percentage of missing segments along the rows. Results are compared with ground measurements with root mean square error (RMSE) = 9.8 cm for row height, RMSE = 8.7 cm for row width and RMSE = 7 cm for row spacing. The row width, cover fraction, as well as the percentage of missing row segments, appear to be sensitive to the quality of the dense point cloud. Optimal flight configuration and camera setting are therefore mandatory to access these characteristics with a good accuracy.<\/jats:p>","DOI":"10.3390\/rs9020111","type":"journal-article","created":{"date-parts":[[2017,1,30]],"date-time":"2017-01-30T11:36:30Z","timestamp":1485776190000},"page":"111","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":99,"title":["Using 3D Point Clouds Derived from UAV RGB Imagery to Describe Vineyard 3D Macro-Structure"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2341-667X","authenticated-orcid":false,"given":"Marie","family":"Weiss","sequence":"first","affiliation":[{"name":"EMMAH, INRA, Universit\u00e9 d\u2019Avignon et des Pays du Vaucluse, 84000 Avignon, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7655-8997","authenticated-orcid":false,"given":"Fr\u00e9d\u00e9ric","family":"Baret","sequence":"additional","affiliation":[{"name":"EMMAH, INRA, Universit\u00e9 d\u2019Avignon et des Pays du Vaucluse, 84000 Avignon, France"}]}],"member":"1968","published-online":{"date-parts":[[2017,1,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1111\/j.1755-0238.2002.tb00209.x","article-title":"Optical remote sensing applications in viticulture\u2014A review","volume":"8","author":"Hall","year":"2002","journal-title":"Aust. J. Grape Wine Res."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.agwat.2010.07.011","article-title":"Assessing satellite-based basal crop coefficients for irrigated grapes (Vitis vinifera L.)","volume":"98","author":"Campos","year":"2010","journal-title":"Agric. Water Manag."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"813","DOI":"10.1016\/S0098-3004(03)00082-7","article-title":"Characterising and mapping vineyard canopy using high-spatial-resolution aerial multispectral images","volume":"29","author":"Hall","year":"2003","journal-title":"Comput. Geosci."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"2971","DOI":"10.3390\/rs70302971","article-title":"Intercomparison of UAV, aircraft and satellite remote sensing platforms for precision viticulture","volume":"7","author":"Matese","year":"2015","journal-title":"Remote Sens."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1016\/j.rse.2005.09.002","article-title":"Assessing vineyard condition with hyperspectral indices: Leaf and canopy reflectance simulation in a row-structured discontinuous canopy","volume":"99","author":"Miller","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"220","DOI":"10.5589\/m08-023","article-title":"Row orientation and viewing geometry effects on row-structured vine crops for chlorophyll content estimation","volume":"34","author":"Meggio","year":"2008","journal-title":"Can. J. Remote Sens."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1307","DOI":"10.1016\/j.agrformet.2009.03.001","article-title":"Optimal geometric configuration and algorithms for lai indirect estimates under row canopies: The case of vineyards","volume":"149","author":"Baret","year":"2009","journal-title":"Agric. For. Meteorol."},{"key":"ref_8","first-page":"1191","article-title":"The topographic effect on spectral response from nadir-pointing sensors","volume":"46","author":"Holben","year":"1980","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"3503","DOI":"10.1080\/01431160210154029","article-title":"Correcting satellite imagery for the variance of reflectance and illumination with topography","volume":"24","author":"Shepherd","year":"2003","journal-title":"Int. J. Remote Sens."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"574","DOI":"10.1109\/LGRS.2013.2282492","article-title":"Directional anisotropy of brightness surface temperature over vineyards: Case study over the medoc region (SW France)","volume":"11","author":"Lagouarde","year":"2014","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"579","DOI":"10.1109\/LGRS.2013.2284660","article-title":"Estimating radiation interception in heterogeneous orchards using high spatial resolution airborne imagery","volume":"11","author":"Villalobos","year":"2014","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Torres-S\u00e1nchez, J., L\u00f3pez-Granados, F., De Castro, A., and Pe\u00f1a-Barrag\u00e1n, J. (2013). Configuration and specifications of an unmanned aerial vehicle (UAV) for early site specific weed management. PLoS ONE, 8.","DOI":"10.1371\/journal.pone.0058210"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"557","DOI":"10.13031\/2013.6454","article-title":"Remote sensing of vineyard management zones: Implications for wine quality","volume":"17","author":"Johnson","year":"2001","journal-title":"Appl. Eng. Agric."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1111\/j.1755-0238.2003.tb00267.x","article-title":"Grapevine dormant pruning weight prediction using remotely sensed data","volume":"9","author":"Dobrowski","year":"2003","journal-title":"Aust. J. Grape Wine Res."},{"key":"ref_15","first-page":"65","article-title":"Vine signal extraction\u2014An application of remote sensing in precision viticulture","volume":"31","author":"Smit","year":"2010","journal-title":"S. Afr. J. Enol. Vitic."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1111\/j.1755-0238.2011.00174.x","article-title":"Airborne high-resolution images for grape classification: Changes in correlation between technological and late maturity in a sangiovese vineyard in central Italy","volume":"18","author":"Fiorillo","year":"2012","journal-title":"Aust. J. Grape Wine Res."},{"key":"ref_17","unstructured":"Rouse, J.W., Haas, R.H., Schell, J.A., Deering, D.W., and Harlan, J.C. (1974). Monitoring the Vernal Advancement of Retrogradation of Natural Vegetation, Texas A&M University. E74-10676, NASA-CR-139243, PR-7."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"11051","DOI":"10.3390\/rs61111051","article-title":"UAV flight experiments applied to the remote sensing of vegetated areas","volume":"6","author":"Barrado","year":"2014","journal-title":"Remote Sens."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1016\/j.rse.2012.09.014","article-title":"Carotenoid content estimation in a heterogeneous conifer forest using narrow-band indices and PROSPECT + DART simulations","volume":"127","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Stafford, J.V. (2013). Precision Agriculture \u201913, Wageningen Academic Publishers.","DOI":"10.3920\/978-90-8686-778-3"},{"key":"ref_21","first-page":"281","article-title":"Estimating leaf carotenoid content in vineyards using high resolution hyperspectral imagery acquired from an unmanned aerial vehicle (UAV)","volume":"171\u2013172","author":"Catalina","year":"2013","journal-title":"Agric. For. Meteorol."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"4026","DOI":"10.3390\/rs70404026","article-title":"Evaluating multispectral images and vegetation indices for precision farming applications from UAV images","volume":"7","author":"Candiago","year":"2015","journal-title":"Remote Sens."},{"key":"ref_23","unstructured":"Lacar, F.M., Lewis, M.M., and Grierson, I.T. (2001, January 9\u201313). Use of hyperspectral imagery for mapping grape varieties in the barossa valley, South Australia. Proceedings of the 2001 IEEE International Geoscience and Remote Sensing Symposium, Sydney, Ausralia."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"730","DOI":"10.1007\/11867661_66","article-title":"Hyperspectral image analysis for precision viticulture","volume":"Volume 4142","author":"Campilho","year":"2006","journal-title":"Image Analysis and Recognition"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"322","DOI":"10.1016\/j.rse.2011.10.007","article-title":"Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera","volume":"117","author":"Berni","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_26","unstructured":"Turner, D., Lucier, A., and Watson, C. (2011, January 10\u201315). Development of an unmanned aerial vehicle (UAV) for hyper resolution vineyard mapping based on visible, multispectral, and thermal imagery. Proceedings of the 34th International Symposium on Remote Sensing of Environment, Sydney, Australia."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"45","DOI":"10.5721\/EuJRS20144704","article-title":"Unsupervised classification of very high remotely sensed images for grapevine rows detection","volume":"47","author":"Puletti","year":"2014","journal-title":"Eur. J. Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"3311","DOI":"10.1080\/01431160110076144","article-title":"Vineyard identification and description of spatial crop structure by per-field frequency analysis","volume":"23","author":"Wassenaar","year":"2002","journal-title":"Int. J. Remote Sens."},{"key":"ref_29","unstructured":"Chanussot, J., Bas, P., and Bombrun, L. (2005, January 25\u201329). Airborne remote sensing of vineyards for the detection of dead vine trees. Proceedings of the 2005 IEEE International Geoscience and Remote Sensing Symposium, Seoul, Korea."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1016\/j.compag.2009.09.012","article-title":"From pixel to vine parcel: A complete methodology for vineyard delineation and characterization using remote-sensing data","volume":"70","author":"Delenne","year":"2010","journal-title":"Comput. Electron. Agric."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1002\/arp.399","article-title":"Taking computer vision aloft\u2014Archaeological three-dimensional reconstructions from aerial photographs with photoscan","volume":"18","author":"Verhoeven","year":"2011","journal-title":"Archaeol. Prospect."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"551","DOI":"10.1127\/1432-8364\/2013\/0200","article-title":"UAV-based imaging for multi-temporal, very high resolution crop surface models to monitor crop growth variability","volume":"6","author":"Bendig","year":"2013","journal-title":"Photogramm. Fernerkund. Geoinf."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"10413","DOI":"10.3390\/rs61110413","article-title":"Tridimensional reconstruction applied to cultural heritage with the use of camera-equipped UAV and terrestrial laser scanner","volume":"6","author":"Xu","year":"2014","journal-title":"Remote Sens."},{"key":"ref_34","unstructured":"Chiabrando, F., Donadio, E., and Rinaudo, F. (September, January 31). SfM for orthophoto generation: A winning approach for cultural heritage knowledge. Proceedings of the 25th International CIPA Symposium, Taipei, Taiwan."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"2164","DOI":"10.3390\/rs5052164","article-title":"Visualizing and quantifying vineyard canopy lai using an unmanned aerial vehicle (UAV) collected high density structure from motion point cloud","volume":"5","author":"Mathews","year":"2013","journal-title":"Remote Sens."},{"key":"ref_36","unstructured":"Agisoft-LLC (User Manual Professional Edition, 2013). User Manual Professional Edition, Version 1.0.0."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Gini, R., Pagliari, D., Passoni, D., Pinto, L., Sona, G., and Dosso, P. (2013, January 4\u20136). UAV photogrammetry: Block triangulation comparisons. Proceedings of the International Society for Photogrammetry and Remote Sensing, Rostock, Germany.","DOI":"10.5194\/isprsarchives-XL-1-W2-157-2013"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Jaud, M., Passot, S., Le Bivic, R., Delacourt, C., Grandjean, P., and Le Dantec, N. (2016). Assessing the accuracy of high resolution digital surface models computed by Photoscan\u00ae and Micmac\u00ae in sub-optimal survey conditions. Remote Sens., 8.","DOI":"10.3390\/rs8060465"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","article-title":"Distinctive image features from scale-invariant keypoints","volume":"60","author":"Lowe","year":"2004","journal-title":"Int. J. Comput. Vis."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1002\/esp.3366","article-title":"Topographic structure from motion: A new development in photogrammetric measurement","volume":"38","author":"Fonstad","year":"2013","journal-title":"Earth Surface Process. Landf."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"813","DOI":"10.1080\/03610927708827533","article-title":"Robust regression using iteratively reweighted least-squares","volume":"6","author":"Holland","year":"1977","journal-title":"Commun. Stat. Theory Methods"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/S0734-189X(88)80033-1","article-title":"A survey of the hough transform","volume":"44","author":"Illingworth","year":"1988","journal-title":"Comput. Vis. Graph. Image Process."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/2\/111\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:27:11Z","timestamp":1760207231000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/2\/111"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,1,28]]},"references-count":42,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2017,2]]}},"alternative-id":["rs9020111"],"URL":"https:\/\/doi.org\/10.3390\/rs9020111","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,1,28]]}}}