Results 151 to 160 of about 5,759 (264)

Increasing urban flash flood risk attributable to both climate and development

Quarterly Journal of the Royal Meteorological Society, EarlyView.
A new event impact attribution methodology that combines convection‐permitting climate model data with flood inundation modelling was used for a five‐hour flash‐flooding event in the suburbs of Leeds in 2014. The results show increased urban flood extent due to both climate change (+16%) and increased urbanisation (+29%).
Daniel F. Cotterill, Dann Mitchell, Peter A. Stott, Paul Bates, Youtong Rong, Leanne Archer   +5 more
wiley   +1 more source

Study on the compaction characteristics of snow on airport runways under vertical load. [PDF]

PLoS One
Guo H, Zhang H, Ping B, Yang J, Cui Y, Ding Q.   +5 more
europepmc   +1 more source

Automated Lawn Maintenance: An Agronomic and Operational Review of Turf Health, Biodiversity, and Field Performance

Journal of Field Robotics, EarlyView.
ABSTRACT Grass mowing is one of the most resource‐consuming activities in green maintenance, whether in private areas such as home gardens or in public spaces like urban parks. In recent years, concerns related to climate change, human health, and sustainability have become increasingly prominent in green maintenance, leading manufacturers and industry
Andrea Palladini, Lorenzo Guerrini, Marco Fontanelli, Lucia Bortolini   +3 more
wiley   +1 more source

Model simulations capture seasonal Arctic Haze and clean-air cycle better than satellite and reanalysis. [PDF]

Sci Rep
Swain B, Vountas M, Singh A, Song R, Panda U, Schellhorn H, Andrae L, Deroubaix A, Lelli L, Tandon A, Nikumbh A, Gunthe SS.   +11 more
europepmc   +1 more source

Mapping Scytonemin Pigment Content and Biocrust Functional Indicators Using High‐Resolution Multispectral Imagery

Remote Sensing in Ecology and Conservation, EarlyView.
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, Tong Qiu, Fernando T. Maestre, Elizabeth A. La Rue, Sergio Vargas Zesati, Anthony Schaefer, Ryan V. Trexler, Nicole Pietrasiak, Estelle Couradeau   +8 more
wiley   +1 more source

From observation to protection a bibliometric analysis of aerosol-glacier interactions. [PDF]

iScience
Meng H, Wang F, Liu S, Jin X, Xu M, Mu J.   +5 more
europepmc   +1 more source

Using Airborne Laser Scanning and Sentinel‐2 to Understand Subcanopy Light Regimes and Understory Diversity of Vascular Plants in Temperate Mountain Forests

Remote Sensing in Ecology and Conservation, EarlyView.
This study demonstrates that not just Airborne Laser Scanning, but also Sentinel‐2 can effectively estimate absolute canopy cover and canopy cover heterogeneity ‐ structural metrics that determine the subcanopy light regime, found to be linked to the vascular plant species richness in the understory of temperate mountain forests.
Felix Wieland‐Glasmann, Cornelius Senf, Kristin H. Braziunas, Rupert Seidl, Peter Annighöfer   +4 more
wiley   +1 more source

Spatially divided outlier removal for LiDAR de-noising in adverse weather conditions. [PDF]

Sci Rep
Shin S, Joo J, Lee H, Kim SC.
europepmc   +1 more source

Future changes in population exposure to snowfall extremes across Eurasia

River, EarlyView.
Abstract Extreme snowfall events have frequently occurred across parts of Eurasia, causing substantial economic losses and severe societal impacts. As global warming intensifies, assessing its potential effect on population exposure to such extremes becomes increasingly crucial. This study employed CMIP6 model datasets and future population projections
Wenqing Lin, Huopo Chen, Dawei Zhang, Fan Wang, Wuxia Bi, Weiqi Wang   +5 more
wiley   +1 more source

Uncovering controlling factors on rock glacier velocities in the Pamir-Karakoram-Kunlun region using explainable machine learning. [PDF]

PNAS Nexus
Sun Z, Liu L, Bolch T.
europepmc   +1 more source