Results 61 to 70 of about 4,291 (216)
iCollections methodology: workflow, results and lessons learned
The Natural History Museum, London (NHMUK) has embarked on an ambitious programme to digitise its collections. The first phase of this programme was to undertake a series of pilot projects to develop the workflows and infrastructure needed to support ...
Vladimir Blagoderov +28 more
doaj +3 more sources
This research established a new object detection model based on YOLOv11 to recognise benthic organisms, specifically sea cucumbers, by utilising high‐resolution photogrammetric‐based orthomosaics acquired along infralittoral Mediterranean Sea beds. The model demonstrated impressive performance metrics and, when combined with the Deepness plugin for the
Gian Mario Sangiovanni +9 more
wiley +1 more source
AN EXPERIMENTAL DESIGN APPROACH ON GEOREFERENCING [PDF]
Georeferencing is one of the most important stages of digitizing analogue maps. It is affected by many factors such as; scales and resolutions of maps, the number of control points, etc. In this study, four of these factors were investigated using 24 factorial design in two dimensional georeferencing of cadastral maps.
openaire +2 more sources
Pomen digitalnega batimetričnega modela za trajnostni razvoj morja : The Significance Of Digital Bathymetric Model For Sustainable Development Of The Sea [PDF]
Geodezija kot stroka ima pomembno vlogo pri pripravi prostorskih podatkov, ki omogočajo trajnostno načrtovanje, ne le prostora na kopnem, temveč tudi na morju.
Aljoša Žerjal +2 more
doaj
This study presents a semi‐automated, rule‐based image analysis pipeline to detect ice seals in aerial surveys of the Western Antarctic Peninsula during an unusually low sea ice year. By using simple hierarchical clustering instead of deep learning, the method substantially reduced human annotation effort while achieving 82% recall, identifying 758 ...
Claire McGinnity +8 more
wiley +1 more source
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao +10 more
wiley +1 more source
Modeling of spatial distribution for scorpions of medical importance in the São Paulo State, Brazil [PDF]
Aim: In this work, we aimed to develop maps of modeling geographic distribution correlating to environmental suitability for the two species of scorpions of medical importance at São Paulo State and to develop spatial configuration parameters for ...
José Brites-Neto +1 more
doaj +1 more source
We evaluated single‐ and multi‐sensor UAV approaches for classifying tree species and standing dead trees in boreal forests, focusing on key biodiversity indicators such as European aspen. Using spectral and structural features extracted from RGB, multispectral (MSP), and LiDAR point clouds for 1,205 field‐measured trees, we compared classification ...
Anton Kuzmin +5 more
wiley +1 more source
Retrospective image analysis for long‐term demography using Google Earth imagery
We demonstrate that high‐resolution Google Earth imagery, combined with minimal field validation, enables retrospective tracking of individual invasive plants. The image shows one of the monitored individuals of Opuntia sp. in Greece. Our approach reveals long‐term demographic patterns, recruitment dynamics, and spatial expansion without continuous ...
Erola Fenollosa +2 more
wiley +1 more source
Real-time image georeferencing is essential to the prompt generation of spatial information such as orthoimages from the image sequence acquired by an airborne multi-sensor system.
Kyoungah Choi, Impyeong Lee
doaj +1 more source

