Results 71 to 80 of about 2,580 (187)

Accuracy Assessment of RTK, PPK, and PPP-AR Techniques for Direct Georeferencing in UAV-Based Photogrammetric Mapping [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
In the fields of mapping, surveying, and three-dimensional (3D) modeling, unmanned aerial vehicle (UAV) systems have become essential equipment in recent times. UAVs are increasingly widely used, especially in the field of photogrammetry. The integration
M. Arkalı, M. E. Atik
doaj   +1 more source

Multi‐Vine Disease Prediction in a Field Test Spanning Whole Growth Season at Wine‐Industrial Site (McLaren Vale)

Artificial Intelligence for Engineering, EarlyView.
Overall, the findings provide reliable evidence for block‐level disease early warning, inspection prioritisation, and spray decision‐making, helping to reduce unnecessary inputs, lower environmental burdens, and improve the resilience and sustainability of vineyard production systems.
Shu Liang, Nguyen Van Duc Long, Mst Irin Parvin, Philip Kwong, Vinay Pagay, Maria Maglieri, Steve Maglieri, Andrew Godfrey, Harpinder Sandhu, Kartheek Munigoti, Nicola Sasanelli, Pieter van Schalkwyk, Freya Richardson, Bhola Paudel, Pramod Gautam, Kashif Khaqan, Volker Hessel   +16 more
wiley   +1 more source

Modelling the Four‐Dimensional Power Line Sag Dynamics by Point Signature in Time‐Series Synthetic‐Aperture Radar Images

High Voltage, EarlyView.
ABSTRACT Power lines in synthetic‐aperture radar (SAR) images are reflected as point signatures, which fluctuate annually in both the azimuth and range directions. A novel framework is proposed in this paper to evaluate the four‐dimensional dynamic status of power line sag using those point signatures in time‐series SAR images.
Sijie Ma, Tao Li, Mahdi Motagh, Yan Liu, Yangmao Wen   +4 more
wiley   +1 more source

Aerial photogrammetry procedure optimized for micro uav [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014
This paper proposes the automatic aerial photogrammetry procedure optimized for Micro UAV that has ability of autonomous flight. The most important goal of our proposed method is the reducing the processing cost for fully automatic reconstruction of ...
T. Anai, T. Sasaki, H. Otani, K. Osaragi, N. Kochi   +4 more
doaj   +1 more source

ForestForTrees: An R package to infer forest structure from remote sensing data

Methods in Ecology and Evolution, EarlyView.
Abstract Estimating forest size‐abundance distributions is essential for understanding demographic processes and structural dynamics. Remote sensing provides broad coverage but often misses smaller trees hidden beneath the canopy, complicating inference of the full size distribution.
Adam J. Eichenwald, John M. Grady, Alyson East, Noah Charney, Sydne Record   +4 more
wiley   +1 more source

A Survey of Methods for Constructing 3D Urban Models From Point Clouds

Computer Graphics Forum, EarlyView.
The survey outlines a general process for constructing 3D models from point clouds and categorizes the methods based on their use of templates, basic surface primitives, hybrid approaches, or linear primitives. Additionally, the survey reviews the datasets and benchmarks that are essential for testing and training the developed methods.
Chiara Romanengo, Silvia Biasotti, Bianca Falcidieno, Daniela Cabiddu, Elia Moscoso Thompson, Michela Spagnuolo   +5 more
wiley   +1 more source

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source

A Review of UAV Photogrammetry Applications in Mining: Structural Mapping and Surface Monitoring [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Open-pit mining presents significant challenges due to steep topography, structural discontinuities, and rapidly changing surface conditions. UAV-based photogrammetry has emerged as an effective, cost-efficient solution for acquiring high-resolution ...
A. Sarvi, A. Abedini, F. Dadrass Javan
doaj   +1 more source

Spatial and temporal scales in plant phenotyping for crop water stress assessment: A review

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Water stress is a major limiting factor for crop productivity worldwide, and its impacts are intensifying due to climate variability and increasing water scarcity. This review focuses on the spatial and temporal scales in plant phenotyping as a critical approach to improving crop water‐stress assessment and supporting precision water ...
Daniel Kingsley Cudjoe, Yazhou Sun, Sanai Li, Wenxuan Guo   +3 more
wiley   +1 more source

Predicting soybean aboveground biomass in the short‐season region of Canada: Integrating vegetative cover and canopy height

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Aboveground biomass (ABM) is a key determinant of soybean (Glycine max [L.] Merr.) yield and can be used to select for stress‐resilient cultivars. The objective of our study was to develop a predictive model describing ABM in short‐season soybean from vegetative cover (VC) and canopy height (CH).
Malcolm J. Morrison, Thomas L. Hotte, A. Claire Gahagan, Nathaniel W. W. Ort, Elroy R. Cober   +4 more
wiley   +1 more source