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Introduction for the Special Issue on Beyond the Hypes of Geospatial Big Data: Theories, Methods, Analytics, and Applications [PDF]

, 2019
We live in the era of ‘Big Data’. In particular, Geospatial data, whether captured through remote sensors (e.g., satellite imagery) or generated from large-scale simulations (e.g., climate change models) have always been significantly large in size. Over
Kealy, Allison, Wang, Qianxing, Zhai, Shengjie   +2 more
core   +2 more sources

Mapping Shrimp Pond Dynamics: A Spatiotemporal Study Using Remote Sensing Data and Machine Learning

AgriEngineering, 2023
Shrimp farming and exporting is the main income source for the southern coastal districts of the Mekong Delta. Monitoring these shrimp ponds is helpful in identifying losses incurred due to natural calamities like floods, sources of water pollution by ...
Pavan Kumar Bellam, Murali Krishna Gumma, Pranay Panjala, Ismail Mohammed, Aya Suzuki   +4 more
doaj   +1 more source

A Local 3D Voronoi-Based Optimization Method for Sensor Network Deployment in Complex Indoor Environments

Sensors, 2021
Optimal sensor network deployment in built environments for tracking, surveillance, and monitoring of dynamic phenomena is one of the most challenging issues in sensor network design and applications (e.g., people movement).
Ali Afghantoloee, Mir Abolfazl Mostafavi
doaj   +1 more source

Leveraging UAV spectral and thermal traits for the genetic improvement of resistance to Dothistroma needle blight in Pinus radiata D.Don

Frontiers in Plant Science
IntroductionPhenotyping is critical in tree breeding, but traditional methods are often labour-intensive and not easily scalable. Resistance to biotic and abiotic stress is a key focus in tree breeding programmes.
Joane S. Elleouet, Russell Main, Robin J. L. Hartley, Michael S. Watt   +3 more
doaj   +1 more source

Crop Yield Assessment Using Field-Based Data and Crop Models at the Village Level: A Case Study on a Homogeneous Rice Area in Telangana, India

AgriEngineering, 2023
Crop yield estimation has gained importance due to its vital significance for policymakers and decision-makers in enacting schemes, ensuring food security, and assessing crop insurance losses due to biotic and abiotic stress.
Roja Mandapati, Murali Krishna Gumma, Devender Reddy Metuku, Pavan Kumar Bellam, Pranay Panjala, Sagar Maitra, Nagaraju Maila   +6 more
doaj   +1 more source

INFLUENCE OF RANGING UNCERTAINTY OF TERRESTRIAL LASER SCANNING ON CHANGE DETECTION IN TOPOGRAPHIC 3D POINT CLOUDS [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Terrestrial laser scanners are commonly used for remotely sensing natural surfaces into 3D point clouds. Time series of such 3D point clouds can be analysed to gain information of surface changes that are induced by Earth surface shaping processes.
L. Winiwarter, K. Anders, K. Anders, D. Wujanz, B. Höfle, B. Höfle   +5 more
doaj   +1 more source

TOST: A Topological Semantic Model for GPS Trajectories Inside Road Networks

ISPRS International Journal of Geo-Information, 2019
To organize trajectory data is a challenging issue for both studies on spatial databases and spatial data mining in the last decade, especially where there is semantic information involved.
Tao Wu, Jianxin Qin, Yiliang Wan
doaj   +1 more source

Point cloud registration for LiDAR and photogrammetric data: A critical synthesis and performance analysis on classic and deep learning algorithms

ISPRS Open Journal of Photogrammetry and Remote Sensing, 2023
Three-dimensional (3D) point cloud registration is a fundamental step for many 3D modeling and mapping applications. Existing approaches are highly disparate in the data source, scene complexity, and application, therefore the current practices in ...
Ningli Xu, Rongjun Qin, Ph.D., Shuang Song   +2 more
doaj   +1 more source

Remote Sensing Object Detection in the Deep Learning Era—A Review

Remote Sensing
Given the large volume of remote sensing images collected daily, automatic object detection and segmentation have been a consistent need in Earth observation (EO).
Shengxi Gui, Shuang Song, Rongjun Qin, Yang Tang   +3 more
doaj   +1 more source

BUILDING FEATURES RECOGNITION FROM UNCERTAIN 3D LIDAR POINT CLOUDS: A SEMANTIC APPROACH [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
LiDAR technology allows rapid observation of high-resolution and precise 3D point clouds for diverse applications in urban and natural areas. However, uneven density and incomplete point clouds make LiDAR data processing more challenging for the ...
X.-F. Xing, X.-F. Xing, M. A. Mostafavi, M. A. Mostafavi   +3 more
doaj   +1 more source