Ceylan, N.[Nihal],
Unal, E.[Ediz],
Masson, J.[Josiane],
A Case Study of Developing An Olive Tree Database For Turkey,
PhEngRS(75), No. 12, December 2009, pp. 1397-1406.
WWW Link.
1001
An implementation of OLICOUNT software for counting olive trees over
satellite imagery to test its practicability and to develop an olive
database in Burhaniye County, Balkesir, Turkey.
BibRef
Calderón, R.[Rocío],
Navas-Cortés, J.A.[Juan A.],
Zarco-Tejada, P.J.[Pablo J.],
Early Detection and Quantification of Verticillium Wilt in Olive
Using Hyperspectral and Thermal Imagery over Large Areas,
RS(7), No. 5, 2015, pp. 5584-5610.
DOI Link
1506
BibRef
Díaz-Varela, R.A.[Ramón A.],
de la Rosa, R.[Raúl],
León, L.[Lorenzo],
Zarco-Tejada, P.J.[Pablo J.],
High-Resolution Airborne UAV Imagery to Assess Olive Tree Crown
Parameters Using 3D Photo Reconstruction: Application in Breeding
Trials,
RS(7), No. 4, 2015, pp. 4213-4232.
DOI Link
1505
BibRef
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
BibRef
Fernández, T.[Tomás],
Pérez, J.L.[José Luis],
Cardenal, J.[Javier],
Gómez, J.M.[José Miguel],
Colomo, C.[Carlos],
Delgado, J.[Jorge],
Analysis of Landslide Evolution Affecting Olive Groves Using UAV and
Photogrammetric Techniques,
RS(8), No. 10, 2016, pp. 837.
DOI Link
1609
BibRef
Rey, B.[Beatriz],
Aleixos, N.[Nuria],
Cubero, S.[Sergio],
Blasco, J.[José],
Xf-Rovim. A Field Robot to Detect Olive Trees Infected by Xylella
Fastidiosa Using Proximal Sensing,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Sancho-Adamson, M.[Marc],
Trillas, M.I.[Maria Isabel],
Bort, J.[Jordi],
Fernandez-Gallego, J.A.[Jose Armando],
Romanyà, J.[Joan],
Use of RGB Vegetation Indexes in Assessing Early Effects of
Verticillium Wilt of Olive in Asymptomatic Plants in High and Low
Fertility Scenarios,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Avola, G.[Giovanni],
Gennaro, S.F.D.[Salvatore Filippo Di],
Cantini, C.[Claudio],
Riggi, E.[Ezio],
Muratore, F.[Francesco],
Tornambè, C.[Calogero],
Matese, A.[Alessandro],
Remotely Sensed Vegetation Indices to Discriminate Field-Grown Olive
Cultivars,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link
1906
BibRef
Lima-Cueto, F.J.[Francisco J.],
Blanco-Sepúlveda, R.[Rafael],
Gómez-Moreno, M.L.[María L.],
Galacho-Jiménez, F.B.[Federico B.],
Using Vegetation Indices and a UAV Imaging Platform to Quantify the
Density of Vegetation Ground Cover in Olive Groves (Olea Europaea L.)
in Southern Spain,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link
1911
BibRef
Noguera, M.[Miguel],
Millán, B.[Borja],
Pérez-Paredes, J.J.[Juan José],
Ponce, J.M.[Juan Manuel],
Aquino, A.[Arturo],
Andújar, J.M.[José Manuel],
A New Low-Cost Device Based on Thermal Infrared Sensors for Olive
Tree Canopy Temperature Measurement and Water Status Monitoring,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Salamí, E.[Esther],
Gallardo, A.[Antonia],
Skorobogatov, G.[Georgy],
Barrado, C.[Cristina],
On-the-Fly Olive Tree Counting Using a UAS and Cloud Services,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Waleed, M.[Muhammad],
Um, T.W.[Tai-Won],
Khan, A.[Aftab],
Khan, U.[Umair],
Automatic Detection System of Olive Trees Using Improved K-Means
Algorithm,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Jurado, J.M.,
Ortega, L.,
Cubillas, J.J.,
Feito, F.R.,
Multispectral Mapping on 3D Models and Multi-Temporal Monitoring for
Individual Characterization of Olive Trees,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link
2004
BibRef
Milicevic, M.[Mario],
Zubrinic, K.[Krunoslav],
Grbavac, I.[Ivan],
Obradovic, I.[Ines],
Application of Deep Learning Architectures for Accurate Detection of
Olive Tree Flowering Phenophase,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link
2007
BibRef
Santos-Rufo, A.[Antonio],
Mesas-Carrascosa, F.J.[Francisco-Javier],
García-Ferrer, A.[Alfonso],
Meroño-Larriva, J.E.[Jose Emilio],
Wavelength Selection Method Based on Partial Least Square from
Hyperspectral Unmanned Aerial Vehicle Orthomosaic of Irrigated Olive
Orchards,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Fernández, T.[Tomás],
Pérez-García, J.L.[José Luis],
Gómez-López, J.M.[José Miguel],
Cardenal, J.[Javier],
Calero, J.[Julio],
Sánchez-Gómez, M.[Mario],
Delgado, J.[Jorge],
Tovar-Pescador, J.[Joaquín],
Multitemporal Analysis of Gully Erosion in Olive Groves by Means of
Digital Elevation Models Obtained with Aerial Photogrammetric and
LiDAR Data,
IJGI(9), No. 4, 2020, pp. xx-yy.
DOI Link
2005
BibRef
Castrignanò, A.[Annamaria],
Belmonte, A.[Antonella],
Antelmi, I.[Ilaria],
Quarto, R.[Ruggiero],
Quarto, F.[Francesco],
Shaddad, S.[Sameh],
Sion, V.[Valentina],
Muolo, M.R.[Maria Rita],
Ranieri, N.A.[Nicola A.],
Gadaleta, G.[Giovanni],
Bartoccetti, E.[Edoardo],
Riefolo, C.[Carmela],
Ruggieri, S.[Sergio],
Nigro, F.[Franco],
Semi-Automatic Method for Early Detection of Xylella fastidiosa in
Olive Trees Using UAV Multispectral Imagery and
Geostatistical-Discriminant Analysis,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link
2101
BibRef
Azpiroz, I.[Izar],
Oses, N.[Noelia],
Quartulli, M.[Marco],
Olaizola, I.G.[Igor G.],
Guidotti, D.[Diego],
Marchi, S.[Susanna],
Comparison of Climate Reanalysis and Remote-Sensing Data for
Predicting Olive Phenology through Machine-Learning Methods,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Lin, C.X.[Chen-Xi],
Jin, Z.N.[Zhe-Nong],
Mulla, D.[David],
Ghosh, R.[Rahul],
Guan, K.Y.[Kai-Yu],
Kumar, V.[Vipin],
Cai, Y.P.[Ya-Ping],
Toward Large-Scale Mapping of Tree Crops with High-Resolution
Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive
Orchards in Morocco,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link
2105
BibRef
And:
Correction:
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link
2301
BibRef
Poblete, T.,
Navas-Cortes, J.A.,
Camino, C.,
Calderon, R.,
Hornero, A.,
Gonzalez-Dugo, V.,
Landa, B.B.,
Zarco-Tejada, P.J.,
Discriminating Xylella fastidiosa from Verticillium dahliae
infections in olive trees using thermal- and hyperspectral-based
plant traits,
PandRS(179), 2021, pp. 133-144.
Elsevier DOI
2108
Hyperspectral, Thermal, Machine learning, Plant traits, ,
BibRef
Šiljeg, A.[Ante],
Panda, L.[Lovre],
Domazetovic, F.[Fran],
Maric, I.[Ivan],
Gašparovic, M.[Mateo],
Borisov, M.[Mirko],
Miloševic, R.[Rina],
Comparative Assessment of Pixel and Object-Based Approaches for
Mapping of Olive Tree Crowns Based on UAV Multispectral Imagery,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Ye, Z.X.[Zhang-Xi],
Wei, J.H.[Jia-Hao],
Lin, Y.W.[Yu-Wei],
Guo, Q.[Qian],
Zhang, J.[Jian],
Zhang, H.X.[Hou-Xi],
Deng, H.[Hui],
Yang, K.J.[Kai-Jie],
Extraction of Olive Crown Based on UAV Visible Images and the U2-Net
Deep Learning Model,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link
2204
BibRef
Roma, E.[Eliseo],
Catania, P.[Pietro],
Precision Oliviculture: Research Topics, Challenges, and
Opportunities: A Review,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Messina, G.[Gaetano],
Modica, G.[Giuseppe],
Twenty Years of Remote Sensing Applications Targeting Landscape
Analysis and Environmental Issues in Olive Growing: A Review,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Messina, G.[Gaetano],
Modica, G.[Giuseppe],
The Role of Remote Sensing in Olive Growing Farm Management:
A Research Outlook from 2000 to the Present in the Framework of
Precision Agriculture Applications,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Navrozidis, I.[Ioannis],
Alexandridis, T.[Thomas],
Moshou, D.[Dimitrios],
Haugommard, A.[Anne],
Lagopodi, A.[Anastasia],
Implementing Sentinel-2 Data and Machine Learning to Detect Plant
Stress in Olive Groves,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Navarro, R.[Rebecca],
Wirkus, L.[Lars],
Dubovyk, O.[Olena],
Spatio-Temporal Assessment of Olive Orchard Intensification in the
Saiss Plain (Morocco) Using k-Means and High-Resolution Satellite
Data,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link
2301
BibRef
Belmonte, A.[Antonella],
Gadaleta, G.[Giovanni],
Castrignanò, A.[Annamaria],
Use of Geostatistics for Multi-Scale Spatial Modeling of Xylella
fastidiosa subsp. pauca (Xfp) Infection with Unmanned Aerial Vehicle
Image,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link
2302
BibRef
Navrozidis, I.[Ioannis],
Pantazi, X.E.[Xanthoula Eirini],
Lagopodi, A.[Anastasia],
Bochtis, D.[Dionysios],
Alexandridis, T.K.[Thomas K.],
Application of Machine Learning for Disease Detection Tasks in Olive
Trees Using Hyperspectral Data,
RS(15), No. 24, 2023, pp. 5683.
DOI Link
2401
BibRef
Telesca, L.[Luciano],
Abate, N.[Nicodemo],
Lovallo, M.[Michele],
Lasaponara, R.[Rosa],
Investigating the Impact of Xylella Fastidiosa on Olive Trees by the
Analysis of MODIS Terra Satellite Evapotranspiration Time Series by
Using the Fisher Information Measure and the Shannon Entropy:
A Case Study in Southern Italy,
RS(16), No. 7, 2024, pp. 1242.
DOI Link
2404
BibRef
Marques, P.[Pedro],
Pádua, L.[Luís],
Sousa, J.J.[Joaquim J.],
Fernandes-Silva, A.[Anabela],
Advancements in Remote Sensing Imagery Applications for Precision
Management in Olive Growing: A Systematic Review,
RS(16), No. 8, 2024, pp. 1324.
DOI Link
2405
BibRef
Crespo, N.[Nazaret],
Pádua, L.[Luís],
Santos, J.A.[João A.],
Fraga, H.[Helder],
Satellite Remote Sensing Tools for Drought Assessment in Vineyards
and Olive Orchards: A Systematic Review,
RS(16), No. 11, 2024, pp. 2040.
DOI Link
2406
BibRef
Lin, C.X.[Chen-Xi],
Zhou, J.X.[Jun-Xiong],
Yin, L.[Leikun],
Bouabid, R.[Rachid],
Mulla, D.[David],
Benami, E.[Elinor],
Jin, Z.[Zhenong],
Sub-national scale mapping of individual olive trees integrating
Earth observation and deep learning,
PandRS(217), 2024, pp. 18-31.
Elsevier DOI
2409
Earth observation, Remote sensing, Agriculture, Olive, Morocco, Deep learning
BibRef
Vasilakos, C.[Christos],
Verykios, V.S.[Vassilios S.],
Burned Olive Trees Identification with a Deep Learning Approach in
Unmanned Aerial Vehicle Images,
RS(16), No. 23, 2024, pp. 4531.
DOI Link
2501
BibRef
Chatzidavid, D.[David],
Kokinou, E.[Eleni],
Gerarchakis, N.[Nikolaos],
Kontogiorgakis, I.[Ioannis],
Bucaioni, A.[Alessio],
Bogdanovic, M.[Milos],
Delineation Protocol of Agricultural Management Zones (Olive Trees
and Alfalfa) at Field Scale (Crete, Greece),
RS(16), No. 23, 2024, pp. 4486.
DOI Link
2501
BibRef
Fernández, T.,
Gómez-Lopez, J.M.,
Pérez-García, J.L.,
Cardenal, J.,
Delgado, J.,
Mata, E.,
Sánchez-Gómez, M.,
Calero, J.,
Tovar-Pescador, J.,
Moya, F.,
Analysis of Gully Erosion In A Catchment Area In Olive Groves Using Uas
Photogrammetry Techniques,
ISPRS20(B2:1057-1064).
DOI Link
2012
BibRef
González, J.,
Galindo, C.,
Arevalo, V.,
Ambrosio, G.,
Applying Image Analysis and Probabilistic Techniques for Counting Olive
Trees in High-Resolution Satellite Images,
ACIVS07(920-931).
Springer DOI
0708
BibRef
Pina, P.[Pedro],
Barata, T.[Teresa],
Bandeira, L.[Lourenco],
Morphological recognition of the spatial patterns of olive trees,
ICPR06(IV: 845-848).
IEEE DOI
0609
Structural Texture.
BibRef
Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Citrus Trees, Orchards, Diseases .