Results 71 to 80 of about 2,832 (214)

Improved Cerrado Wetland Mapping Through Seasonal Moisture Metrics, Terrain Information and Semantic Segmentation

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
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

Snowmelt predicts earlier breeding across the latitudinal range of an Arctic nesting seabird, the Little Auk (Alle alle)

open access: yesJournal of Animal Ecology, EarlyView.
Multi‐year monitoring of the crevice‐nesting High Arctic seabird, the Little Auk (Alle alle), across four colonies spanning distinct climatic regimes revealed that snowmelt timing is a key and consistent driver of breeding phenology. Earlier snowmelt advances access to nesting habitat, enabling birds to initiate reproduction sooner. These findings show
Martyna Syposz   +11 more
wiley   +1 more source

Short-Wave Infrared (SWIR) Imaging for Robust Material Classification: Overcoming Limitations of Visible Spectrum Data

open access: yesApplied Sciences
This paper presents a novel approach to material classification using short-wave infrared (SWIR) imaging, aimed at applications where differentiating visually similar objects based on material properties is essential, such as in autonomous driving ...
Hanbin Song   +6 more
doaj   +1 more source

Robust estimation of key leaf traits from reflectance spectroscopy of herbarium specimens

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Community‐wide efforts to digitize herbarium specimens have facilitated novel uses of specimen data across scales. However, the need for destructive sampling has prevented large‐scale examination of foliar functional traits. We demonstrate that nondestructive reflectance spectra are an effective tool for estimating leaf traits from herbarium ...
Aaron K. Lee   +10 more
wiley   +1 more source

All-Weather Drone Vision: Passive SWIR Imaging in Fog and Rain

open access: yesDrones
Short-wave-infrared (SWIR) imaging can extend drone operations into fog and rain, yet the optimum spectral strategy remains unclear. We evaluated a drone-borne quantum-dot SWIR camera inside a climate-controlled tunnel that generated calibrated advection
Alexander Bessonov   +7 more
doaj   +1 more source

Deep-tissue SWIR imaging using rationally designed small red-shifted near-infrared fluorescent protein. [PDF]

open access: yesNat Methods, 2023
Oliinyk OS   +7 more
europepmc   +1 more source

Spectral response of guava leaves under infestation by Costalimaita ferruginea (coleoptera: Chrysomelidae)

open access: yesAgricultural and Forest Entomology, EarlyView.
Coccinellidae (Coleoptera), Miridae (Hemiptera), Hemerobiidae (Neuroptera), Pentatomidae (Hemiptera), Anystidae (Acari), Erythraeidae (Acari) and spiders (Araneidae, Oxyopidae and Salticidae) fed on the invasive paropsine leaf beetles in Marlborough, New Zealand.
Souradji I. Bachirou   +2 more
wiley   +1 more source

A novel method based on high‐resolution imaging spectroscopy to predict fine‐root traits and the economics space of fresh tree roots

open access: yesNew Phytologist, EarlyView.
Maps of the estimated root nitrogen concentration in the < 0.5‐mm‐diameter classes of 20 woody species based on the imaging spectroscopy using the shortwave infrared spectral region. Summary Tree fine‐root morphological, anatomical, and chemical traits are important to reflect belowground resource acquisition strategies to support tree growth, but ...
Naoki Makita   +2 more
wiley   +1 more source

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

open access: yesThe 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   +12 more
wiley   +1 more source

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