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Jianxin Qin, Wenjie Yang, Tao Wu, Bin He and Longgang Xiang
GPS trajectory and remote sensing data are crucial for updating urban road networks because they contain critical spatial and temporal information. Existing road network updating methods, whether trajectory-based (TB) or image-based (IB), do not integrat...
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Daniel Stow, Caroline J. Nichol, Tom Wade, Jakob J. Assmann, Gillian Simpson and Carole Helfter
Small unmanned aerial systems (UAS) have allowed the mapping of vegetation at very high spatial resolution, but a lack of standardisation has led to uncertainties regarding data quality. For reflectance measurements and vegetation indices (Vis) to be com...
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Ibrahim Wahab, Ola Hall and Magnus Jirström
The application of remote sensing methods to assess crop vigor and yields has had limited applications in Sub-Saharan Africa (SSA) due largely to limitations associated with satellite images. The increasing use of unmanned aerial vehicles in recent times...
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Ibrahim Wahab, Ola Hall and Magnus Jirström
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Marc van den Homberg, Arjen Crince, Jurg Wilbrink, Daniël Kersbergen, Gumbi Gumbi, Simon Tembo and Rob Lemmens
As the world is digitizing fast, the increase in Big and Small Data offers opportunities to enrich official statistics for reporting on Sustainable Development Goals (SDG). However, survey data coming from an increased number of organizations (Small Data...
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Marcelo Rodrigues Barbosa Júnior, Danilo Tedesco, Vinicius dos Santos Carreira, Antonio Alves Pinto, Bruno Rafael de Almeida Moreira, Luciano Shozo Shiratsuchi, Cristiano Zerbato and Rouverson Pereira da Silva
Remote sensing can provide useful imagery data to monitor sugarcane in the field, whether for precision management or high-throughput phenotyping (HTP). However, research and technological development into aerial remote sensing for distinguishing cultiva...
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Dimitrios S. Paraforos, Galibjon M. Sharipov, Andreas Heiß and Hans W. Griepentrog
Remote sensing data in agriculture that are originating from unmanned aerial vehicles (UAV)-mounted multispectral cameras offer substantial information in assessing crop status, as well as in developing prescription maps for site-specific variable rate a...
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Zijia Zheng, Yizhu Jiang, Qiutong Zhang, Yanling Zhong and Lizheng Wang
The timely monitoring of urban water bodies using unmanned aerial vehicle (UAV)-mounted remote sensing technology is crucial for urban water resource protection and management. Addressing the limitations of the use of satellite data in inferring the wate...
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Rajendra Khanal and Michael E. Barber
Evapotranspiration (ET) is a critical component of the water cycle, and an accurate prediction of ET is essential for water resource management, irrigation scheduling, and agricultural productivity. Traditionally, ET has been estimated using satellite-ba...
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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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Marin Micunovic, Sanja Faivre and Mateo Ga?parovic
This study investigates the quality and accuracy of remote sensing data in beach surveys based on three different data sources covering a 10-year period (2011?2021). Orthophotos from State Geodetic Administration Geoportal and satellite imagery from Goog...
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Lenka Starková
The variability of currently available remote sensing datasets raises the question of which specific processing methods should be used for feature detection and feature extraction in both large and small-scale overhead images. In some cases, particular a...
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Elizabeth Parrott, Heather Panter, Joanne Morrissey and Frederic Bezombes
Until recently, clandestine burial investigations relied upon witness statements to determine target search areas of soil and vegetation disturbance. Due to this, remote sensing technologies are increasingly used to detect fresh clandestine graves. Howev...
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Ola Hall, Sigrun Dahlin, Håkan Marstorp, Maria Francisca Archila Bustos, Ingrid Öborn and Magnus Jirström
Yield estimates and yield gap analysis are important for identifying poor agricultural productivity. Remote sensing holds great promise for measuring yield and thus determining yield gaps. Farming systems in sub-Saharan Africa (SSA) are commonly characte...
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Ola Hall, Sigrun Dahlin, Håkan Marstorp, Maria Francisca Archila Bustos, Ingrid Öborn and Magnus Jirström
Yield estimates and yield gap analysis are important for identifying poor agricultural productivity. Remote sensing holds great promise for measuring yield and thus determining yield gaps. Farming systems in sub-Saharan Africa (SSA) are commonly characte...
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Ahram Song
Deep learning techniques have recently shown remarkable efficacy in the semantic segmentation of natural and remote sensing (RS) images. However, these techniques heavily rely on the size of the training data, and obtaining large RS imagery datasets is d...
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Samitha Daranagama and Apichon Witayangkurn
Buildings can be introduced as a fundamental element for forming a city. Therefore, up-to-date building maps have become vital for many applications, including urban mapping and urban expansion analysis. With the development of deep learning, segmenting ...
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Israa Kadhim and Fanar M. Abed
With the increasing demands to use remote sensing approaches, such as aerial photography, satellite imagery, and LiDAR in archaeological applications, there is still a limited number of studies assessing the differences between remote sensing methods in ...
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Ovidiu Csillik, John Cherbini, Robert Johnson, Andy Lyons and Maggi Kelly
Remote sensing is important to precision agriculture and the spatial resolution provided by Unmanned Aerial Vehicles (UAVs) is revolutionizing precision agriculture workflows for measurement crop condition and yields over the growing season, for identify...
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Francesca Cigna
With a wide spectrum of imaging capabilities?from optical to radar sensors, low to very high resolution, continental to local scale, single-image to multi-temporal approaches, yearly to sub-daily acquisition repeat cycles?Earth Observation (EO) offers se...
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