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 +4 more
wiley +1 more source
Read the free Plain Language Summary for this article on the Journal blog. Abstract Emergent ecosystem properties, such as population and trait distributions, biodiversity and energy and water fluxes, occur because of the dynamic interactions of individuals in their environment.
Sarah J. Graves +8 more
wiley +1 more source
Estimation of Nitrogen Status in <i>Zanthoxylum armatum</i> var. <i>novemfolius</i> Using Machine Learning Algorithms and UAV Hyperspectral and LiDAR Data Fusion. [PDF]
Zhao S +6 more
europepmc +1 more source
Twenty‐one questions shaping the future of plant phenology research in the 21st century
Read the free Plain Language Summary for this article on the Journal blog. Abstract This Perspective examines the critical frontiers shaping the future of plant phenology research and identifies key emerging challenges and opportunities expected to influence the field in the 21st century.
Barbara Templ +19 more
wiley +1 more source
MSCNet: Efficient and accurate semantic segmentation of LiDAR data using Multi-scale Convolution. [PDF]
Feng X +6 more
europepmc +1 more source
Integrating large mammalian herbivores into Dynamic Global Vegetation Models: Status and next steps
Read the free Plain Language Summary for this article on the Journal blog. Abstract Zoogeochemistry, the study of how animals influence elemental cycling within ecosystems, bridges the fields of zoology, ecology and biogeochemistry. Yet, most terrestrial ecosystem models, especially Dynamic Global Vegetation Models (DGVMs), remain largely plant‐centric
Yue Cheng +10 more
wiley +1 more source
PickAMoo: LIDAR-enhanced mask R-CNN segmentation for precision weight estimation in dairy cattle using smartphone imaging. [PDF]
Guzhva O +4 more
europepmc +1 more source
Spatially divided outlier removal for LiDAR de-noising in adverse weather conditions. [PDF]
Shin S, Joo J, Lee H, Kim SC.
europepmc +1 more source
PhenoRob-P: An autonomous robotic system for high-throughput phenotyping of potted plants. [PDF]
Shao Y +6 more
europepmc +1 more source
SGMR-LPR: A Semantic-Guided Network Robust to Movable Objects for LiDAR-Based Place Recognition. [PDF]
Jiang W +6 more
europepmc +1 more source

