Results 121 to 130 of about 129,505 (245)
We developed PZM‐YOLO to automatically detect plateau zokor mounds in UAV imagery of alpine meadows. The model achieved reliable detection of small and densely distributed mounds under complex backgrounds, outperforming the baseline YOLOv5s. This framework supports mound counting, mound position, rodent impact assessment, and grassland restoration ...
Yang Yang +5 more
wiley +1 more source
A Development In Semi Automatisation Of UAV Terrestrial Direct Georeference
Unmanned Aerial Vehicle (UAV) can be used together with a Robotic Total Station in Terrestrial Direct Georeference system. More sophisticate terrestrial survey equipment can identify UAV postion automatically, this ability eliminate the problem of moving
Deni S, Asep Yusup S, Hendriatiningsih S
core
We demonstrate that high‐resolution multispectral imagery combined with machine learning can accurately predict key biocrust functional indicators, particularly the UV‐protective pigment scytonemin, across dryland ecosystems. Using fine‐scale imagery acquired in the Chihuahuan Desert and Colorado Plateau, we identified spectral bands strongly ...
Raúl Román +8 more
wiley +1 more source
Brazil's Cerrado valley wetlands—swamp savanna and gallery forest—are highly important for the biome's water cycle and carbon storage and are susceptible to degradation from the impacts of land use expansion and the climate crisis. In support of their detailed monitoring and assessment, we developed and tested a transferable mapping approach that ...
Felix Beer +6 more
wiley +1 more source
We propose a set of paradigms (survey design, tip and cue, validation, consilience, interpolation and extrapolation, and data fusion) and prioritize a set of principles (metadata standards, use rights and licensing, scientific rigor, and utility) as the foundations of an actionable framework for nature technology data integration. We then analyze seven
Seamus Lombardo +19 more
wiley +1 more source
Image generation models can create synthetic ecological datasets and potentially alleviate limitations from sparse real data. Using 20 tree genera across community‐science and street‐view imagery, we tested whether synthetic images could replace or supplement real data for image classification.
Thomas A. Lake +3 more
wiley +1 more source
Intelligent identification of rock mass discontinuities based on the MK‐Means algorithm
Abstract Rock mass discontinuities govern the mechanical properties and engineering stability of rock masses. Conventional clustering algorithms typically require manual specification of the number of clusters or initial parameters, rendering the results sensitive to empirical judgment and initial conditions.
Wei Yang +7 more
wiley +1 more source
Abstract With the advancement of remote sensing technology, the accuracy of satellite remote sensing data has continuously improved, and the precision of large‐scale soil and water conservation monitoring has steadily increased. However, owing to differences in sensor acquisition and processing methods, monitoring data obtained through various ...
Wenxiang Liu +4 more
wiley +1 more source
Directive Antenna Clutter Loss in Slant Paths
ABSTRACT This paper investigates the development of a clutter loss model specifically for slant paths involving directive antennas. Conventionally, clutter loss is characterized by using isotropic antennas to facilitate standard link budget calculations via single antenna gain values.
Fernando Pérez Fontán +4 more
wiley +1 more source

