Results 101 to 110 of about 220,969 (290)

Standardized and Calibrated Light Stimuli via Head‐Mounted Displays for Investigating the Nonvisual Effects of Light

Journal of Pineal Research, Volume 77, Issue 4, July 2025.
ABSTRACT Light influences human physiology profoundly, affecting the circadian clock and suppressing the endogenous hormone melatonin. Experimental studies often employ either homogenous full‐field stimulation, or overhead illumination, which are hard to standardize across studies and laboratories.
Maydel Fernandez‐Alonso, Manuel Spitschan   +1 more
wiley   +1 more source

Volcanic Radiative Power Retrieval From Moderate‐to‐Low‐Temperature Features Using a Single TIR Band: Validation Using Volcanic Crater Lakes and Hydrothermal Systems

Geophysical Research Letters, Volume 52, Issue 12, 28 June 2025.
Abstract Assessing Radiative Power (RP) output is essential for monitoring and understanding volcanic systems. While Mid‐Infrared channels are used to assess thermal outputs at volcanoes exhibiting effusive activity, Thermal‐InfraRed (TIR) bands are better suited for measuring moderate‐to‐low‐temperature (≲600 K) features, such as those associated with
Simone Aveni, Sophie Pailot‐Bonnétat, Dmitri Rouwet, Andrew J. L. Harris, Diego Coppola   +4 more
wiley   +1 more source

Characterizing Changes in Paddy Rice Flooding Time over the Sanjiang Plain Using Moderate-Resolution Imaging Spectroradiometer Time Series

Remote Sensing
Rice is a primary food crop, and rice production ensures food security and maintains social stability with great significance. Flooding paddy rice fields as an important step in rice production affects the entire growth process of rice.
Xiangyu Ning, Huapeng Li, Ruoqi Liu
doaj   +1 more source

Improved Band-to-Band Registration Characterization for VIIRS Reflective Solar Bands Based on Lunar Observations

Remote Sensing, 2015
Spectral bands of the Visible Infrared Imaging Radiometer Suite (VIIRS) instrument aboard the Suomi National Polar-orbiting Partnership (S-NPP) satellite are spatially co-registered.
Zhipeng Wang, Xiaoxiong Xiong, Yonghong Li   +2 more
doaj   +1 more source

Background Wind Speeds Outweigh Urban Heat Islands in Downwind Precipitation Enhancement by Cities

Geophysical Research Letters, Volume 52, Issue 12, 28 June 2025.
Abstract Ample evidence shows that cities can enhance precipitation in the downwind region due to the urban heat island (UHI) effect and the high momentum roughness of urban land. Surprisingly, global observational results show that the downwind enhancement of precipitation caused by large metropolitan areas is weaker under conditions of stronger ...
Mingze Ding, Xiao‐Tong Zheng, Dan Li, Ting Sun   +3 more
wiley   +1 more source

Decomposing the Bias of Shortwave Cloud Radiative Effect in a Climate Model Using Machine Learning

Geophysical Research Letters, Volume 52, Issue 12, 28 June 2025.
Abstract Large bias exists in the shortwave cloud radiative effect (SWCRE) of general circulation models (GCMs), with unclear contributions from individual cloud properties. Here we present a machine‐learning approach, demonstrated using the FGOALS‐f3‐L GCM, to clarify the bias decomposition.
Hongtao Yang, Guoxing Chen, Wei‐Chyung Wang, Qing Bao, Jiandong Li   +4 more
wiley   +1 more source

Retrieval of Green-up Onset Date From MODIS Derived NDVI in Grasslands of Inner Mongolia

IEEE Access, 2019
In this paper, moderate resolution imaging spectroradiometer (MODIS) derived normalized difference vegetation index (NDVI) was used to retrieve the onset date of spring phenology in grasslands of Inner Mongolia from 2002 to 2017.
Baolin Wang, Zhiyuan Tian, Wenpeng Zhang, Guoqing Chen, Yue Guo, Mingjiu Wang   +5 more
doaj   +1 more source

Emulating Daytime ABI Cloud Optical Properties at Night With Machine Learning

Journal of Geophysical Research: Atmospheres, Volume 130, Issue 12, 28 June 2025.
Abstract Cloud optical property retrievals from passive satellite imagers tend to be most accurate during the daytime due to the availability of visible and near‐infrared solar reflectance. Infrared (IR) channels have a relative lack of spectral sensitivity to optically thick clouds and are heavily influenced by cloud‐top temperature making retrievals ...
Charles H. White, Yoo‐Jeong Noh, John M. Haynes, Imme Ebert‐Uphoff   +3 more
wiley   +1 more source

Mapping 30-m cotton areas based on an automatic sample selection and machine learning method using Landsat and MODIS images

Geo-spatial Information Science
Cotton is one of the most significant cash crops in the world, and it is also the main source of natural fiber for textiles. It is crucial for cotton management to identify the spatiotemporal distribution of cotton planting areas timely and accurately on
Zhuting Tan, Zhengyu Tan, Juhua Luo, Hongtao Duan   +3 more
doaj   +1 more source

Data quality monitoring in the presence of aerosols and other adverse atmospheric conditions with H.E.S.S [PDF]

arXiv, 2015
Cherenkov telescope experiments, such as H.E.S.S., have been very successful in astronomical observations in the very-high-energy (VHE; E $>$ 100 GeV) regime. As an integral part of the detector, such experiments use Earth's atmosphere as a calorimeter. For the calibration and energy determination, a standard model atmosphere is assumed.
arxiv