Results 191 to 200 of about 47,757 (245)

theRmalUAV: An R package to clean and correct thermal UAV data for accurate land surface temperatures

Methods in Ecology and Evolution, Volume 17, Issue 2, Page 488-496, February 2026.
Abstract Thermal cameras on unoccupied aerial vehicles (UAVs) are increasingly being used in environmental and ecological research, including hydrology, wildfire detection and prediction, urban heat studies, precision agriculture, ecosystem functioning, wildlife monitoring and microclimate studies.
Christophe Metsu, Wouter H. Maes, Sam Ottoy, Koenraad Van Meerbeek   +3 more
wiley   +1 more source

A Texture Reconstructive Downsampling for Multi-Scale Object Detection in UAV Remote-Sensing Images. [PDF]

Sensors (Basel)
Zheng W, Xiong B, Chen J, Ou Q, Yu L.
europepmc   +1 more source

Multispectral Data and LiDAR for Enhanced Georeferencing of Gdanska Glowa's 17th‐Century Fortifications

Archaeometry, Volume 68, Issue 1, Page 94-106, February 2026.
ABSTRACT This study presents a novel remote sensing method to detect 17th‐century environmental elements associated with the historical fortifications of Gdanska Glowa in Poland. By integrating 10‐band multispectral imaging, high‐resolution (1 m) digital elevation models, vegetation metrics and random forest classification within Google Earth Engine ...
Pawel Tysiac, Joanna Dąbal, Tadeusz Widerski   +2 more
wiley   +1 more source

Multiview stereo reconstruction of UAV remote sensing images based on adaptive propagation with multiregional refinement. [PDF]

Sci Rep
Fu H, Nie Z, Pan X.
europepmc   +1 more source

Development of UAV and microsatellites for remote sensing

Development of UAV and microsatellites for remote sensing
[ABSTRACT]Synthetic Aperture Radar (SAR) is well-known as a multipurpose sensor in all-weather and day-night time. In this research, we are developing Circularly Polarized Synthetic Aperture Radar (CP-SAR) onboard microsatellite to observe land deformation on Earth surface under Japanese Ministry of Education and Technology (MEXT) program etc.
openaire  

Biology, Detection, and Management of Lecanosticta acicola: Emerging Challenges for the Management of Brown Spot Needle Blight in Pine Forests

Forest Pathology, Volume 56, Issue 1, February 2026.
ABSTRACT Brown spot needle blight (BSNB), caused by the fungus Lecanosticta acicola, is a widely distributed foliar disease of pines that causes needle necrosis, premature defoliation, and growth loss in both natural forests and commercial plantations. Although L.
Gabriel Silva, Temitope R. Folorunso, Andrea Miranda Paez, Gina F. Lamka, Swati Singh, Jaden King, Lydia Henderson, Micah Persyn, Tabeth Mwema, Tess Lindow, Negar Amiri, Lori Eckhardt, Lana Narine, Janna R. Willoughby   +13 more
wiley   +1 more source

Seismic Risk Classification of Building Clusters Using MST Clustering and UAV Remote Sensing. [PDF]

Sensors (Basel)
Wang X, Li X, Liu Z, Wu Z, Xie Y, Han Z.
europepmc   +1 more source

A multi-scale small object detection algorithm SMA-YOLO for UAV remote sensing images. [PDF]

Sci Rep
Zhou S, Zhou H, Qian L.
europepmc   +1 more source

Integrating UAV remote sensing and semi-supervised learning for early-stage maize seedling monitoring and geolocation. [PDF]

Plant Phenomics
Yang R, Chen M, Lu X, He Y, Li Y, Xu M, Li M, Huang W, Liu F.   +8 more
europepmc   +1 more source

Lightweight multidimensional feature enhancement algorithm LPS-YOLO for UAV remote sensing target detection. [PDF]

Sci Rep
Lu Y, Sun M.
europepmc   +1 more source