
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:
Advancing Skyborne Technologies and High-Resolution Satellites for Pasture Monitoring and Improved Management: A Review
Michael Gbenga Ogungbuyi, CL Mohammed, Iffat Ara, et al.
Remote Sensing (2023) Vol. 15, Iss. 19, pp. 4866-4866
Open Access | Times Cited: 10
Michael Gbenga Ogungbuyi, CL Mohammed, Iffat Ara, et al.
Remote Sensing (2023) Vol. 15, Iss. 19, pp. 4866-4866
Open Access | Times Cited: 10
Showing 10 citing articles:
Improvement of pasture biomass modelling using high-resolution satellite imagery and machine learning
Michael Gbenga Ogungbuyi, Juan Pablo Guerschman, Andrew Fischer, et al.
Journal of Environmental Management (2024) Vol. 356, pp. 120564-120564
Open Access | Times Cited: 9
Michael Gbenga Ogungbuyi, Juan Pablo Guerschman, Andrew Fischer, et al.
Journal of Environmental Management (2024) Vol. 356, pp. 120564-120564
Open Access | Times Cited: 9
Pasture monitoring using remote sensing and machine learning: A review of methods and applications
Tej Bahadur Shahi, Thirunavukarasu Balasubramaniam, Kenneth Sabir, et al.
Remote Sensing Applications Society and Environment (2025), pp. 101459-101459
Open Access | Times Cited: 1
Tej Bahadur Shahi, Thirunavukarasu Balasubramaniam, Kenneth Sabir, et al.
Remote Sensing Applications Society and Environment (2025), pp. 101459-101459
Open Access | Times Cited: 1
Fine-Scale Mangrove Species Classification Based on UAV Multispectral and Hyperspectral Remote Sensing Using Machine Learning
Yuanzheng Yang, Zhouju Meng, Jiaxing Zu, et al.
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 3093-3093
Open Access | Times Cited: 5
Yuanzheng Yang, Zhouju Meng, Jiaxing Zu, et al.
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 3093-3093
Open Access | Times Cited: 5
APPLICATIONS OF SATELLITE PLATFORMS AND MACHINE LEARNING FOR MAPPING AND MONITORING GRASSLANDS AND PASTURES: A SYSTEMATIC AND COMPREHENSIVE REVIEW
Daniele Pinna, Andrea Pezzuolo, Alessia Cogato, et al.
Smart Agricultural Technology (2024), pp. 100571-100571
Open Access | Times Cited: 2
Daniele Pinna, Andrea Pezzuolo, Alessia Cogato, et al.
Smart Agricultural Technology (2024), pp. 100571-100571
Open Access | Times Cited: 2
Integration of Drone and Satellite Imagery Improves Agricultural Management Agility
Michael Gbenga Ogungbuyi, CL Mohammed, Andrew Fischer, et al.
Remote Sensing (2024) Vol. 16, Iss. 24, pp. 4688-4688
Open Access | Times Cited: 1
Michael Gbenga Ogungbuyi, CL Mohammed, Andrew Fischer, et al.
Remote Sensing (2024) Vol. 16, Iss. 24, pp. 4688-4688
Open Access | Times Cited: 1
Accounting for minimum data required to train a machine learning model to accurately monitor Australian dairy pastures using remote sensing
Martín Correa-Luna, J.I. Gargiulo, Peter Beale, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Martín Correa-Luna, J.I. Gargiulo, Peter Beale, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Enhancing Grassland Management Sustainability Through Drone And Satellite: A Comparative Study
Michael Gbenga Ogungbuyi, CL Mohammed, Andrew Fischer, et al.
(2024)
Open Access | Times Cited: 1
Michael Gbenga Ogungbuyi, CL Mohammed, Andrew Fischer, et al.
(2024)
Open Access | Times Cited: 1
Identification of Pasture Degradation Using Remote Sensing Data and Machine Learning: A Case Study of Obichnik
Boris Evstatiev, Irena Valova, Tsvetelina Kaneva, et al.
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7599-7599
Open Access
Boris Evstatiev, Irena Valova, Tsvetelina Kaneva, et al.
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7599-7599
Open Access
Remote Sensing Inversion of Aboveground Biomass of Grassland in Lanzhou City Based on Machine Learning Algorithm
Wenjing Dong, Hua Zhang
Academic Journal of Environment & Earth Science (2023) Vol. 5, Iss. 10
Open Access | Times Cited: 1
Wenjing Dong, Hua Zhang
Academic Journal of Environment & Earth Science (2023) Vol. 5, Iss. 10
Open Access | Times Cited: 1
Remote Sensing Applied to Pasture Monitoring: A Review
Marcos Cicarini Hott, Ricardo Guimarães Andrad, Pérsio Sandir D’Oliveira, et al.
Revista de Gestão Social e Ambiental (2024) Vol. 18, Iss. 7, pp. e08355-e08355
Closed Access
Marcos Cicarini Hott, Ricardo Guimarães Andrad, Pérsio Sandir D’Oliveira, et al.
Revista de Gestão Social e Ambiental (2024) Vol. 18, Iss. 7, pp. e08355-e08355
Closed Access