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Vasileios Moysiadis, Ilias Siniosoglou, Georgios Kokkonis, Vasileios Argyriou, Thomas Lagkas, Sotirios K. Goudos and Panagiotis Sarigiannidis
Remote sensing stands out as one of the most widely used operations in the field. In this research area, UAVs offer full coverage of large cultivation areas in a few minutes and provide orthomosaic images with valuable information based on multispectral ...
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Francisco R. da S. Pereira, Aliny A. Dos Reis, Rodrigo G. Freitas, Stanley R. de M. Oliveira, Lucas R. do Amaral, Gleyce K. D. A. Figueiredo, João F. G. Antunes, Rubens A. C. Lamparelli, Edemar Moro and Paulo S. G. Magalhães
The recent advances in unmanned aerial vehicle (UAV)-based remote sensing systems have broadened the remote sensing applications for agriculture. Despite the great possibilities of using UAVs to monitor agricultural fields, specific problems related to m...
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Senlin Guan, Kimiyasu Takahashi, Keiko Nakano, Koichiro Fukami and Wonjae Cho
Many cropping systems, notably for rice or soybean production, rely largely on arable land levelness. In this study, an automated levelness assessment system (ALAS) for evaluating lowland levelness is proposed. The measurement accuracy of total station, ...
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Kyriaki Kalaitzidou, Maria Margarita Ntona, Eythimia Zavridou, Stefanos Tzeletas, Thomas Patsialis, Andreas Kallioras, Anastasios Zouboulis, Christina Virgiliou, Manassis Mitrakas and Nerantzis Kazakis
To detect the degradation of clean water, it is necessary to characterize its quality through water quality indices using seasonal water sampling and analysis. In the present study, the initialization of the monitoring by surface and dam water sampling w...
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Taleatha Pell, Joan Y. Q. Li and Karen E. Joyce
With the increased availability of low-cost, off-the-shelf drone platforms, drone data become easy to capture and are now a key component of environmental assessments and monitoring. Once the data are collected, there are many structure-from-motion (SfM)...
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John R. Ballesteros, German Sanchez-Torres and John W. Branch-Bedoya
Drone imagery is becoming the main source of overhead information to support decisions in many different fields, especially with deep learning integration. Datasets to train object detection and semantic segmentation models to solve geospatial data analy...
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Tanya Beelders and Gavin Dollman
Paleontological fieldwork is often a time-consuming process and resource intensive. With unexplored and remote areas, the satellite images, geology, and topography of an area are analyzed to help survey for a site. A drone-based orthomosaic map is sugges...
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Anjin Chang, Jinha Jung, Jose Landivar, Juan Landivar, Bryan Barker and Rajib Ghosh
Thanks to sensor developments, unmanned aircraft system (UAS) are the most promising modern technologies used to collect imagery datasets that can be utilized to develop agricultural applications in these days. UAS imagery datasets can grow exponentially...
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Donovan Flores, Iván González-Hernández, Rogelio Lozano, Jesus Manuel Vazquez-Nicolas and Jorge Luis Hernandez Toral
We present an automatic agave detection method for counting plants based on aerial data from a UAV (Unmanned Aerial Vehicle). Our objective is to autonomously count the number of agave plants in an area to aid management of the yield. An orthomosaic is o...
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I-Kuai Hung, Daniel Unger, David Kulhavy and Yanli Zhang
The advancement of drones has revolutionized the production of aerial imagery. Using a drone with its associated flight control and image processing applications, a high resolution orthorectified mosaic from multiple individual aerial images can be produ...
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