Results 71 to 80 of about 2,428 (201)

Fusing Multi‐ and Hyperspectral Satellite Data for Harmful Algal Bloom Monitoring With Self‐Supervised and Hierarchical Deep Learning

open access: yesEarth and Space Science, Volume 13, Issue 5, May 2026.
Abstract We present a self‐supervised machine learning framework for detecting and mapping the severity and speciation of harmful algal blooms (HABs) using multi‐sensor satellite data. By fusing reflectance data from operational polar‐orbiting satellite‐based instruments (VIIRS, MODIS, OLCI, and OCI) with TROPOMI solar‐induced fluorescence (SIF), our ...
Nicholas J. LaHaye   +2 more
wiley   +1 more source

Characterizing Aerosol Modes and Uncertainty in VIIRS Aerosol Optical Depth Retrievals Over Africa Using AERONET

open access: yesEarth and Space Science, Volume 13, Issue 5, May 2026.
Abstract Accurate characterization of aerosol optical depth (AOD) uncertainties is critical for air quality assessment, data assimilation (DA), and environmental studies. In this study, we evaluate two sets of AOD products retrieved from Suomi‐NPP VIIRS over Africa.
Shima Bahramvash‐Shams   +4 more
wiley   +1 more source

Using Machine Learning to Uncover Ecological Mechanisms Controlling Abundance of Phytoplankton Size Classes From Large‐Scale Observations

open access: yesGlobal Biogeochemical Cycles, Volume 40, Issue 4, April 2026.
Abstract Phytoplankton size classes (PSCs) and Phytoplankton functional types (PFTs) determine many fundamental biogeochemical processes including nutrient uptake, energy transfer through marine food webs, ocean carbon export, and gas exchange with the atmosphere. Discerning the causes of spatio‐temporal variability of PSCs is a scientific priority for
Sandupal Dutta, Anand Gnanadesikan
wiley   +1 more source

Parametric analysis of space nuclear power plants in thermodynamic design variables

open access: yesNuclear Energy and Technology, 2015
The purpose of the study is to analyze the influence of efficiency factor and medium-entropy temperatures on the specific mass of a space power plant and the specific area of the radiator cooler with regard for heat losses and mass coefficients of ...
A.G. Yuferov, V.A. Linnik, M.A. Nikolaev
doaj   +1 more source

Transport of Peroxyacyl Nitrates (PANs) Across Northern Hemisphere Ocean Basins From Satellite Observations

open access: yesJournal of Geophysical Research: Atmospheres, Volume 131, Issue 6, 28 March 2026.
Abstract We leverage global satellite observations of Peroxyacyl Nitrates (PANs) from the Cross‐track Infrared Sounder (CrIS) on the Suomi National Polar‐orbiting Partnership satellite to evaluate seasonal and interannual variations of intercontinental transport in the Northern Hemisphere between 2016 and 2022.
Madison Shogrin   +4 more
wiley   +1 more source

First SNPP Cal/Val Campaign: Satellite and Aircraft Sounding Retrieval Intercomparison [PDF]

open access: yes, 2015
Satellite ultraspectral infrared sensors provide key data records essential for weather forecasting and climate change science. The Suomi National Polar-orbiting Partnership (SNPP) satellite Environmental Data Record (EDR) is retrieved from calibrated ...
Liu, Q.   +8 more
core  

SNPP ATMS Alternate Scan Profile For Risk Mitigation To Extend On-Orbit Life [PDF]

open access: yes, 2015
The Suomi National Polar-orbiting Partnership (SNPP) Advanced Technology Microwave Sounder (ATMS) has been performing nominally on-orbit since its launch in October 2011.
Bruegman, Otto   +3 more
core   +1 more source

Simvastatin ameliorates established pulmonary hypertension through a heme oxygenase-1 dependent pathway in rats

open access: yesRespiratory Research, 2009
Background Simvastatin has been shown to ameliorate pulmonary hypertension by several mechanisms in experimental animal models. In this study, we hypothesized that the major benefits of simvastatin in pulmonary hypertension occur via the heme oxygenase-1
Lee Yung-Chie   +6 more
doaj   +1 more source

Annual suburbs (2012–2020) extracted from SNPP–VIIRS nighttime light remotely sensed data

open access: yes
Annual suburbs (2012–2020) extracted from SNPP–VIIRS nighttime light remotely sensed ...
Shi Kaifang, Liu Shirao, Wu Yizhen
core   +1 more source

NDVI joint process-based models drive a learning ensemble model for accurately estimating cropland net primary productivity (NPP)

open access: yesFrontiers in Environmental Science
The accurate estimation of cropland net primary productivity (NPP) remains a significant challenge. We hypothesized that incorporating prior information on NPP simulated by process-based models into normalized difference vegetation index (NDVI) data ...
Zhaosheng Wang, Zhengjia Liu, Mei Huang
doaj   +1 more source

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