Results 81 to 90 of about 3,413,140 (351)

Rainfall Forecast Using Machine Learning with High Spatiotemporal Satellite Imagery Every 10 Minutes

Remote Sensing, 2022
Increasing the accuracy of rainfall forecasts is crucial as an effort to prevent hydrometeorological disasters. Weather changes that can occur suddenly and in a local scope make fast and precise weather forecasts increasingly difficult to inform ...
F. Simanjuntak, Ilham Jamaluddin, Tang-Huang Lin, Haryati Siahaan, Ying Chen   +4 more
semanticscholar   +1 more source

Geographic object‐based image analysis (GEOBIA) of the distribution and characteristics of aeolian sand dunes in Arctic Sweden

Permafrost and Periglacial Processes, Volume 34, Issue 1, Page 22-36, January/March 2023., 2023
Abstract Current climate change in the Arctic is unprecedented in the instrumental record, with profound consequences for the environment and landscape. In Arctic Sweden, aeolian sand dunes have been impacted by climatic changes since their initial formation after the retreat of the last glacial ice sheet.
Melanie Stammler, Thomas Stevens, Daniel Hölbling   +2 more
wiley   +1 more source

Spatial and temporal dynamics of aufeis in the Tso Moriri basin, eastern Ladakh, India

Permafrost and Periglacial Processes, Volume 34, Issue 1, Page 81-93, January/March 2023., 2023
Abstract Aufeis is a common phenomenon in cold regions of the Northern Hemisphere that develops during winter by successive water overflow and freezing on ice‐covered surfaces. Most studies on aufeis occurrence focus on regions in North America and Siberia, while research in High Mountain Asia (HMA) is still in an exploratory phase.
Dagmar Brombierstäudl, Susanne Schmidt, Marcus Nüsser   +2 more
wiley   +1 more source

Next‐Generation Image Sensors Based on Low‐Dimensional Semiconductor Materials

Advanced Materials, EarlyView.
Low‐dimensional semiconductor materials are promising candidates for photosensitive components in next‐generation image sensors. This review offers a thorough and timely examination of novel image sensors, covering their working principles, intriguing materials categorized into four main groups, and advanced imaging applications.
Yunxia Hu, Zhaoli Gao, Zhengtang Luo, Liang An   +3 more
wiley   +1 more source

Research Progress on Atmospheric Turbulence Perception and Correction Based on Adaptive Optics and Deep Learning

Advanced Photonics Research, EarlyView.
This work presents a systematic review of atmospheric turbulence fundamentals, including theoretical formulations and adaptive optics‐based mitigation strategies. This includes an in‐depth examination of the devices, theories, and methodologies associated with traditional correction approaches.
Qinghui Liu, Yihang Di, Mengmeng Zhang, Zhenbo Ren, Jianglei Di, Jianlin Zhao   +5 more
wiley   +1 more source

Blockchain‐Empowered H‐CPS Architecture for Smart Agriculture

Advanced Science, EarlyView.
This article reviews the current system architectures for smart agriculture and proposes a blockchain‐empowered hierarchical cyber‐physical system (H‐CPS) framework. It discusses the challenges and outlines future research directions, including the use of semantic blockchain to handle complex data and models.
Xiaoding Wang, Qibin Wu, Haitao Zeng, Xu Yang, Hui Cui, Xun Yi, Md. Jalil Piran, Ming Luo, Youxiong Que   +8 more
wiley   +1 more source

Temperature Forecasting via Convolutional Recurrent Neural Networks Based on Time-Series Data

Complex, 2020
Today, artificial intelligence and deep neural networks have been successfully used in many applications that have fundamentally changed people’s lives in many areas.
Zao Zhang, Yuan Dong
semanticscholar   +1 more source

Short-term Precipitation Forecasting in The Netherlands: An Application of Convolutional LSTM neural networks to weather radar data [PDF]

arXiv, 2023
This work addresses the challenge of short-term precipitation forecasting by applying Convolutional Long Short-Term Memory (ConvLSTM) neural networks to weather radar data from the Royal Netherlands Meteorological Institute (KNMI). The research exploits the combination of Convolutional Neural Networks (CNNs) layers for spatial pattern recognition and ...
arxiv  

Statistical Downscaling of Urban-scale Air Temperatures Using an Analog Model Output Statistics Technique

Atmosphere, 2019
This study was conducted to evaluate the suitability of an analog model output statistics (MOS) downscaling technique for urban-scale meteorology research and compares this MOS-Analog technique with the sliding window technique.
Yire Shin, Chaeyeon Yi
doaj   +1 more source

EVALUATION OF THE SPATIAL DISTRIBUTION OF EVACUATION CENTERS IN METRO MANILA, PHILIPPINES [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
In a densely populated and hazard-prone megalopolis like Metro Manila, the ability to execute a rapid evacuation protocol is crucial in saving lives and minimizing the damage during disastrous events.
E. P. Cajucom, E. P. Cajucom, G. Y. Chao Jr., G. Y. Chao Jr., G. A. Constantino, G. A. Constantino, J. A. Ejares, S. J. G. Quillope, S. J. G. Quillope, H. M. Solomon, H. M. Solomon, C. L. Ringor   +11 more
doaj   +1 more source