22.1.5.17 Vineyard Analysis, Grapes, Production, Detection, Health, Change

Chapter Contents (Back)
Classification. Vineyard Analysis.

Warner, T.A.[Timothy A.], Steinmaus, K.[Karen],
Spatial Classification of Orchards and Vineyards with High Spatial Resolution Panchromatic Imagery,
PhEngRS(71), No. 2, February 2005, pp. 179-188. Spatial auto correlation measures are used to classify land cover types with distinct spatial patterns.
WWW Link. 0509
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Vineyard monitoring system combines global positioning and NIR imaging,
VisSys(17), No. 1, January 2012.
WWW Link. 1201
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Tarantino, E., Figorito, B.,
Mapping Rural Areas with Widespread Plastic Covered Vineyards Using True Color Aerial Data,
RS(4), No. 7, July 2012, pp. 1913-1928.
DOI Link 1208
See also Extracting Buildings from True Color Stereo Aerial Images Using a Decision Making Strategy. BibRef

Zorer, R.[Roberto], Rocchini, D.[Duccio], Metz, M., Delucchi, L.[Luca], Zottele, F.[Fabio], Meggio, F.[Franco], Neteler, M.[Markus],
Daily MODIS Land Surface Temperature Data for the Analysis of the Heat Requirements of Grapevine Varieties,
GeoRS(51), No. 4, April 2013, pp. 2128-2135.
IEEE DOI 1304
BibRef
Earlier: A1, A2, A4, A5, A6, A7:
Use of multi-annual MODIS Land Surface Temperature data for the characterization of the heat requirements for grapevine varieties,
MultiTemp11(225-228).
IEEE DOI 1109
BibRef

Mathews, A.J.[Adam J.], Jensen, J.L.R.[Jennifer L. R.],
Visualizing and Quantifying Vineyard Canopy LAI Using an Unmanned Aerial Vehicle (UAV) Collected High Density Structure from Motion Point Cloud,
RS(5), No. 5, 2013, pp. 2164-2183.
DOI Link 1307
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Soliman, A.[Aiman], Heck, R.J.[Richard J.], Brenning, A.[Alexander], Brown, R.[Ralph], Miller, S.[Stephen],
Remote Sensing of Soil Moisture in Vineyards Using Airborne and Ground-Based Thermal Inertia Data,
RS(5), No. 8, 2013, pp. 3729-3748.
DOI Link 1309
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Carrasco-Benavides, M.[Marcos], Ortega-Farías, S.[Samuel], Lagos, L.O.[Luis Octavio], Kleissl, J.[Jan], Morales-Salinas, L.[Luis], Kilic, A.[Ayse],
Parameterization of the Satellite-Based Model (METRIC) for the Estimation of Instantaneous Surface Energy Balance Components over a Drip-Irrigated Vineyard,
RS(6), No. 11, 2014, pp. 11342-11371.
DOI Link 1412
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Ortega-Farías, S.[Samuel], Ortega-Salazar, S.[Samuel], Poblete, T.[Tomas], Kilic, A.[Ayse], Allen, R.[Richard], Poblete-Echeverría, C.[Carlos], Ahumada-Orellana, L.[Luis], Zuñiga, M.[Mauricio], Sepúlveda, D.[Daniel],
Estimation of Energy Balance Components over a Drip-Irrigated Olive Orchard Using Thermal and Multispectral Cameras Placed on a Helicopter-Based Unmanned Aerial Vehicle (UAV),
RS(8), No. 8, 2016, pp. 638.
DOI Link 1609
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Pôças, I.[Isabel], Rodrigues, A.[Arlete], Gonçalves, S.[Sara], Costa, P.M.[Patrícia M.], Gonçalves, I.[Igor], Pereira, L.S.[Luís S.], Cunha, M.[Mário],
Predicting Grapevine Water Status Based on Hyperspectral Reflectance Vegetation Indices,
RS(7), No. 12, 2015, pp. 15835.
DOI Link 1601
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Vanino, S.[Silvia], Pulighe, G.[Giuseppe], Nino, P.[Pasquale], de Michele, C.[Carlo], Bolognesi, S.F.[Salvatore Falanga], d'Urso, G.[Guido],
Estimation of Evapotranspiration and Crop Coefficients of Tendone Vineyards Using Multi-Sensor Remote Sensing Data in a Mediterranean Environment,
RS(7), No. 11, 2015, pp. 14708.
DOI Link 1512
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Rey-Caramés, C.[Clara], Diago, M.P.[María P.], Martín, M.P.[M. Pilar], Lobo, A.[Agustín], Tardaguila, J.[Javier],
Using RPAS Multi-Spectral Imagery to Characterise Vigour, Leaf Development, Yield Components and Berry Composition Variability within a Vineyard,
RS(7), No. 11, 2015, pp. 14458.
DOI Link 1512
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Karakizi, C.[Christina], Oikonomou, M.[Marios], Karantzalos, K.[Konstantinos],
Vineyard Detection and Vine Variety Discrimination from Very High Resolution Satellite Data,
RS(8), No. 3, 2016, pp. 235.
DOI Link 1604
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Pham, M.T.[Minh-Tan], Mercier, G.[Grégoire], Regniers, O.[Oliver], Michel, J.[Julien],
Texture Retrieval from VHR Optical Remote Sensed Images Using the Local Extrema Descriptor with Application to Vineyard Parcel Detection,
RS(8), No. 5, 2016, pp. 368.
DOI Link 1606
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Sepúlveda-Reyes, D.[Daniel], Ingram, B.[Benjamin], Bardeen, M.[Matthew], Zúñiga, M.[Mauricio], Ortega-Farías, S.[Samuel], Poblete-Echeverría, C.[Carlos],
Selecting Canopy Zones and Thresholding Approaches to Assess Grapevine Water Status by Using Aerial and Ground-Based Thermal Imaging,
RS(8), No. 10, 2016, pp. 822.
DOI Link 1609
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Weiss, M.[Marie], Baret, F.[Frédéric],
Using 3D Point Clouds Derived from UAV RGB Imagery to Describe Vineyard 3D Macro-Structure,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link 1703
BibRef

Poblete-Echeverría, C.[Carlos], Olmedo, G.F.[Guillermo Federico], Ingram, B.[Ben], Bardeen, M.[Matthew],
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,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
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Albetis, J.[Johanna], Duthoit, S.[Sylvie], Guttler, F.[Fabio], Jacquin, A.[Anne], Goulard, M.[Michel], Poilvé, H.[Hervé], Féret, J.B.[Jean-Baptiste], Dedieu, G.[Gérard],
Detection of Flavescence dorée Grapevine Disease Using Unmanned Aerial Vehicle (UAV) Multispectral Imagery,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705
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Sun, L.[Liang], Gao, F.[Feng], Anderson, M.C.[Martha C.], Kustas, W.P.[William P.], Alsina, M.M.[Maria M.], Sanchez, L.[Luis], Sams, B.[Brent], McKee, L.[Lynn], Dulaney, W.[Wayne], White, W.A.[William A.], Alfieri, J.G.[Joseph G.], Prueger, J.H.[John H.], Melton, F.[Forrest], Post, K.[Kirk],
Daily Mapping of 30 m LAI and NDVI for Grape Yield Prediction in California Vineyards,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705
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Espinoza, C.Z.[Carlos Zúñiga], Khot, L.R.[Lav R.], Sankaran, S.[Sindhuja], Jacoby, P.W.[Pete W.],
High Resolution Multispectral and Thermal Remote Sensing-Based Water Stress Assessment in Subsurface Irrigated Grapevines,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711
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Balbontín, C.[Claudio], Campos, I.[Isidro], Odi-Lara, M.[Magali], Ibacache, A.[Antonio], Calera, A.[Alfonso],
Irrigation Performance Assessment in Table Grape Using the Reflectance-Based Crop Coefficient,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
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Matese, A.[Alessandro], Baraldi, R.[Rita], Berton, A.[Andrea], Cesaraccio, C.[Carla], Di Gennaro, S.F.[Salvatore Filippo], Duce, P.[Pierpaolo], Facini, O.[Osvaldo], Mameli, M.G.[Massimiliano Giuseppe], Piga, A.[Alessandra], Zaldei, A.[Alessandro],
Estimation of Water Stress in Grapevines Using Proximal and Remote Sensing Methods,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
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Silva, R.[Rui], Gomes, V.[Véronique], Mendes-Faia, A.[Arlete], Melo-Pinto, P.[Pedro],
Using Support Vector Regression and Hyperspectral Imaging for the Prediction of Oenological Parameters on Different Vintages and Varieties of Wine Grape Berries,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
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Loggenberg, K.[Kyle], Strever, A.[Albert], Greyling, B.[Berno], Poona, N.[Nitesh],
Modelling Water Stress in a Shiraz Vineyard Using Hyperspectral Imaging and Machine Learning,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
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Duarte, L.[Lia], Silva, P.[Pedro], Teodoro, A.C.[Ana Cláudia],
Development of a QGIS Plugin to Obtain Parameters and Elements of Plantation Trees and Vineyards with Aerial Photographs,
IJGI(7), No. 3, 2018, pp. xx-yy.
DOI Link 1804
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Al-Saddik, H.[Hania], Laybros, A.[Anthony], Billiot, B.[Bastien], Cointault, F.[Frederic],
Using Image Texture and Spectral Reflectance Analysis to Detect Yellowness and Esca in Grapevines at Leaf-Level,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
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de Castro, A.I.[Ana I.], Jiménez-Brenes, F.M.[Francisco M.], Torres-Sánchez, J.[Jorge], Peña, J.M.[José M.], Borra-Serrano, I.[Irene], López-Granados, F.[Francisca],
3-D Characterization of Vineyards Using a Novel UAV Imagery-Based OBIA Procedure for Precision Viticulture Applications,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
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Helman, D.[David], Bahat, I.[Idan], Netzer, Y.[Yishai], Ben-Gal, A.[Alon], Alchanatis, V.[Victor], Peeters, A.[Aviva], Cohen, Y.[Yafit],
Using Time Series of High-Resolution Planet Satellite Images to Monitor Grapevine Stem Water Potential in Commercial Vineyards,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
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Kandylakis, Z., Karantzalos, K.,
Precision Viticulture From Multitemporal, Multispectral Very High Resolution Satellite Data,
ISPRS16(B8: 919-925).
DOI Link 1610
BibRef

d'Urso, M.G.[Maria Grazia], Marino, C.L.[Costantino Luis],
An Application Of Close-up Photogrammetry In Viticulture,
ISPRS16(B8: 1243-1250).
DOI Link 1610
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Liu, S.[Scarlett], Whitty, M.[Mark], Cossell, S.[Stephen],
Automatic grape bunch detection in vineyards for precise yield estimation,
MVA15(238-241)
IEEE DOI 1507
Accuracy BibRef

Burgos, S., Mota, M., Noll, D., Cannelle, B.,
Use of Very High-Resolution Airborne Images to Analyse 3D Canopy Architecture of a Vineyard,
GeoUAV15(399-403).
DOI Link 1602
BibRef

Kalisperakis, I., Stentoumis, C., Grammatikopoulos, L., Karantzalos, K.,
Leaf Area Index Estimation in Vineyards from UAV Hyperspectral Data, 2D Image Mosaics and 3D Canopy Surface Models,
UAV-g15(299-303).
DOI Link 1512
BibRef

Le Bris, A.,
Extraction Of Vineyards Out Of Aerial Ortho-image Using Texture Information,
AnnalsPRS(I-3), No. 2012, pp. 383-388.
HTML Version. 1209
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Le Bris, A., Boldo, D.,
Extraction of Landcover Themes out of Aerial Orthoimages in Mountainous Areas Using External Information,
PIA07(123).
PDF File. 0711
BibRef

Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Land Cover Change Analysis, Remote Sensing Change Analysis, Temporal Analysis .


Last update:Nov 17, 2018 at 09:12:27