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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Optimal Altitude, Overlap, and Weather Conditions for Computer Vision UAV Estimates of Forest Structure
Jonathan P. Dandois, Marc Olano, Erle C. Ellis
Remote Sensing (2015) Vol. 7, Iss. 10, pp. 13895-13920
Open Access | Times Cited: 397

Showing 1-25 of 397 citing articles:

Structure from Motion Photogrammetry in Forestry: a Review
Jakob Iglhaut, Carlos Çabo, Stefano Puliti, et al.
Current Forestry Reports (2019) Vol. 5, Iss. 3, pp. 155-168
Open Access | Times Cited: 450
Individual Tree Detection from Unmanned Aerial Vehicle (UAV) Derived Canopy Height Model in an Open Canopy Mixed Conifer Forest
Midhun Mohan, Carlos Alberto Silva, Carine Klauberg, et al.
Forests (2017) Vol. 8, Iss. 9, pp. 340-340
Open Access | Times Cited: 344
Ultra-fine grain landscape-scale quantification of dryland vegetation structure with drone-acquired structure-from-motion photogrammetry
Andrew M. Cunliffe, Richard E. Brazier, Karen Anderson
Remote Sensing of Environment (2016) Vol. 183, pp. 129-143
Open Access | Times Cited: 327
Assessment of UAV-photogrammetric mapping accuracy based on variation of ground control points
Patricio Martínez-Carricondo, Francisco Agüera-Vega, Fernando Carvajal-Ramírez, et al.
International Journal of Applied Earth Observation and Geoinformation (2018) Vol. 72, pp. 1-10
Closed Access | Times Cited: 242
Forestry Remote Sensing from Unmanned Aerial Vehicles: A Review Focusing on the Data, Processing and Potentialities
Nathalie Guimarães, Luís Pádua, Pedro Marques, et al.
Remote Sensing (2020) Vol. 12, Iss. 6, pp. 1046-1046
Open Access | Times Cited: 208
Current Practices in UAS-based Environmental Monitoring
Goran Tmušić, Salvatore Manfreda, Helge Aasen, et al.
Remote Sensing (2020) Vol. 12, Iss. 6, pp. 1001-1001
Open Access | Times Cited: 196
Strawberry Yield Prediction Based on a Deep Neural Network Using High-Resolution Aerial Orthoimages
Yang Chen, Won Suk Lee, Hao Gan, et al.
Remote Sensing (2019) Vol. 11, Iss. 13, pp. 1584-1584
Open Access | Times Cited: 192
Principles and practice of acquiring drone-based image data in marine environments
Karen E. Joyce, Stephanie Duce, Susannah M. Leahy, et al.
Marine and Freshwater Research (2018) Vol. 70, Iss. 7, pp. 952-952
Open Access | Times Cited: 178
A Novel Machine Learning Method for Estimating Biomass of Grass Swards Using a Photogrammetric Canopy Height Model, Images and Vegetation Indices Captured by a Drone
Niko Viljanen, Eija Honkavaara, Roope Näsi, et al.
Agriculture (2018) Vol. 8, Iss. 5, pp. 70-70
Open Access | Times Cited: 171
Influence of Drone Altitude, Image Overlap, and Optical Sensor Resolution on Multi-View Reconstruction of Forest Images
Erich Seifert, Stefan Seifert, H. Vogt, et al.
Remote Sensing (2019) Vol. 11, Iss. 10, pp. 1252-1252
Open Access | Times Cited: 155
UAV-Based Forest Health Monitoring: A Systematic Review
Simon Ecke, Jan Dempewolf, Julian Frey, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3205-3205
Open Access | Times Cited: 145
Digital Terrain Models Generated with Low-Cost UAV Photogrammetry: Methodology and Accuracy
Sergio Iván Jiménez‐Jiménez, Waldo Ojeda‐Bustamante, Mariana de Jesús Marcial‐Pablo, et al.
ISPRS International Journal of Geo-Information (2021) Vol. 10, Iss. 5, pp. 285-285
Open Access | Times Cited: 132
Close-Range Remote Sensing of Forests: The state of the art, challenges, and opportunities for systems and data acquisitions
Xinlian Liang, Antero Kukko, Ivan Balenović, et al.
IEEE Geoscience and Remote Sensing Magazine (2022) Vol. 10, Iss. 3, pp. 32-71
Open Access | Times Cited: 73
Breathing Fresh Air in the City: Implementing Avenue Trees as a Sustainable Solution to Reduce Particulate Pollution in Urban Agglomerations
Mamun Mandal, Robert Popek, Arkadiusz Przybysz, et al.
Plants (2023) Vol. 12, Iss. 7, pp. 1545-1545
Open Access | Times Cited: 42
Reviewing the Spectral Variation Hypothesis: Twenty years in the tumultuous sea of biodiversity estimation by remote sensing
Michele Torresani, Christian Rossi, Michela Perrone, et al.
Ecological Informatics (2024) Vol. 82, pp. 102702-102702
Open Access | Times Cited: 23
Spatial assessment of intertidal seagrass meadows using optical imaging systems and a lightweight drone
James P. Duffy, Laura R. Pratt, Karen Anderson, et al.
Estuarine Coastal and Shelf Science (2017) Vol. 200, pp. 169-180
Open Access | Times Cited: 161
A meta-analysis and review of unmanned aircraft system (UAS) imagery for terrestrial applications
Kunwar K. Singh, Amy E. Frazier
International Journal of Remote Sensing (2018) Vol. 39, Iss. 15-16, pp. 5078-5098
Closed Access | Times Cited: 154
Estimating fractional cover of tundra vegetation at multiple scales using unmanned aerial systems and optical satellite data
Henri Riihimäki, Miska Luoto, Janne Heiskanen
Remote Sensing of Environment (2019) Vol. 224, pp. 119-132
Open Access | Times Cited: 137
UAV photogrammetry for mapping vegetation in the low-Arctic
Robert Fraser, Ian Olthof, Trevor C. Lantz, et al.
Arctic Science (2016) Vol. 2, Iss. 3, pp. 79-102
Open Access | Times Cited: 133
Assessing UAV-collected image overlap influence on computation time and digital surface model accuracy in olive orchards
Jorge Torres‐Sánchez, Francisca López Granados, Irene Borra‐Serrano, et al.
Precision Agriculture (2017) Vol. 19, Iss. 1, pp. 115-133
Closed Access | Times Cited: 126
Planning airborne photogrammetry and remote-sensing missions with modern platforms and sensors
Massimiliano Pepe, L. Fregonese, Marco Scaioni
European Journal of Remote Sensing (2018) Vol. 51, Iss. 1, pp. 412-436
Open Access | Times Cited: 123
A Systematic Review of the Factors Influencing the Estimation of Vegetation Aboveground Biomass Using Unmanned Aerial Systems
Lucy G. Poley, Gregory J. McDermid
Remote Sensing (2020) Vol. 12, Iss. 7, pp. 1052-1052
Open Access | Times Cited: 118
Structure from motion will revolutionize analyses of tidal wetland landscapes
Margaret Kalácska, Gail L. Chmura, Oliver Lucanus, et al.
Remote Sensing of Environment (2017) Vol. 199, pp. 14-24
Open Access | Times Cited: 112
Comparison of ALS- and UAV(SfM)-derived high-density point clouds for individual tree detection in Eucalyptus plantations
Juan Guerra-Hernández, Diogo Nepomuceno Cosenza, Luiz Carlos Estraviz Rodriguez, et al.
International Journal of Remote Sensing (2018) Vol. 39, Iss. 15-16, pp. 5211-5235
Closed Access | Times Cited: 112
Biomass Estimation Using 3D Data from Unmanned Aerial Vehicle Imagery in a Tropical Woodland
Daud Kachamba, Hans Ole Ørka, Terje Gobakken, et al.
Remote Sensing (2016) Vol. 8, Iss. 11, pp. 968-968
Open Access | Times Cited: 111
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