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Night time fog detection using MODIS data over Northern India
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/met.182openalex-snapshot
A characteristic analysis of fog using GPS‐derived integrated water vapour
inferredcites →https://doi.org/10.1002/qj.49709942013openalex-snapshot
Radiative properties of terrestrial clouds at visible and infra‐red thermal window wavelengths
inferredcites →https://doi.org/10.1007/s00024-007-0213-8openalex-snapshot
Dynamical Nighttime Fog/Low Stratus Detection Based on Meteosat SEVIRI Data: A Feasibility Study
inferredcites →https://doi.org/10.1016/j.atmosres.2009.11.006openalex-snapshot
Analysis of an extremely dense regional fog event in Eastern China using a mesoscale model
inferredcites →https://doi.org/10.1016/s0169-8095(02)00075-3openalex-snapshot
A satellite-based climatology of fog and low-level stratus in Germany and adjacent areas
inferredcites →https://doi.org/10.1017/s1350482706002398openalex-snapshot
The influence of synoptic‐mesoscale winds and sea surface temperature distribution on fog formation near the Korean western peninsula
inferredcites →https://doi.org/10.1029/2005gl023801openalex-snapshot
Influence of coal based thermal power plants on aerosol optical properties in the Indo‐Gangetic basin
inferredcites →https://doi.org/10.1029/2006jd007811openalex-snapshot
Second‐generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance
inferredcites →https://doi.org/10.1080/01431160600993470openalex-snapshot
Technical Note: Mapping and forecasting of North Indian winter fog: an application of spatial technologies
inferredcites →https://doi.org/10.1109/ettandgrs.2008.55openalex-snapshot
Study on Microphysical Characteristics of Winter Fog in Nanjing Area, China
inferredcites →https://doi.org/10.1175/1520-0426(1998)015<0430:ngmfpo>2.0.co;2openalex-snapshot
Next-Generation MODIS for Polar Operational Environmental Satellites
inferredcites →https://doi.org/10.1175/1520-0434(1995)010<0606:aitdaa>2.0.co;2openalex-snapshot
Advances in the Detection and Analysis of Fog at Night Using GOES Multispectral Infrared Imagery
inferredcites →https://doi.org/10.1175/1520-0434(1997)012<0664:safpug>2.0.co;2openalex-snapshot
Stratus and Fog Products UsingGOES-8–93.9-μm Data
inferredcites →https://doi.org/10.1175/1520-0450(1996)035<0810:smrflb>2.0.co;2openalex-snapshot
Satellite Microphysical Retrievals for Land-Based Fog with Validation by Balloon Profiling
inferredcites →https://doi.org/10.1175/1520-0450(2004)043<0297:amaonr>2.0.co;2openalex-snapshot
A Multiple-Case Analysis of Nocturnal Radiation-Fog Development in the Central Valley of California Utilizing the GOES Nighttime Fog Product
inferredcites →https://doi.org/10.1175/1520-0469(1979)036<1577:voalrb>2.0.co;2openalex-snapshot
Verification of a Linear Relation between IR Extinction, Absorption and Liquid Water Content of Fogs
inferredcites →https://doi.org/10.1175/1520-0477(1996)077<0437:tnyrp>2.0.co;2openalex-snapshot
The NCEP/NCAR 40-Year Reanalysis Project
inferredcites →https://doi.org/10.1175/1520-0477(1998)079<2101:sarats>2.0.co;2openalex-snapshot
SBDART: A Research and Teaching Software Tool for Plane-Parallel Radiative Transfer in the Earth's Atmosphere
inferredcites →https://doi.org/10.1175/1520-0477(2000)081<2607:tgiint>2.3.co;2openalex-snapshot
The GOES I–M Imagers: New Tools for Studying Microphysical Properties of Boundary Layer Stratiform Clouds
inferredcites →https://doi.org/10.1364/ao.27.002502openalex-snapshot
Numerically stable algorithm for discrete-ordinate-method radiative transfer in multiple scattering and emitting layered media
inferredcites →https://doi.org/10.54302/mausam.v10i2.4044openalex-snapshot
Fog over Agartala Airfield
inferredcites →https://doi.org/10.54302/mausam.v49i1.3607openalex-snapshot
Analysis and forecasting of fog over Bangalore airport
inferredcites →https://doi.org/10.54302/mausam.v54i4.1585openalex-snapshot
On the persistence of fog over northern parts of India
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4800301openalex-extracted
A Highly Adaptive Method for Nighttime Fog and Low Stratus Detection Using S-Npp/Viirs Visible and Infrared Channels
inferred← citeshttps://doi.org/10.1002/met.1468openalex-snapshot
A study to improve night time fog detection in the Indo‐Gangetic Basin using satellite data and to investigate the connection to aerosols
inferred← citeshttps://doi.org/10.1007/s00382-018-4458-yopenalex-snapshot
Widespread fog over the Indo-Gangetic Plains and possible links to boreal winter teleconnections
inferred← citeshttps://doi.org/10.1007/s10661-013-3594-4openalex-snapshot
Physical characterization, magnetic measurements, REE geochemistry and biomonitoring of dust load accumulated during a protracted winter fog period and their implications
inferred← citeshttps://doi.org/10.1007/s11069-025-07273-5openalex-snapshot
Assessment of fog conditions over capital city Delhi (India) during December 2023–January 2024
inferred← citeshttps://doi.org/10.1007/s11356-026-37816-7openalex-snapshot
Spatiotemporal analysis of climatic and anthropogenic drivers of winter smog in the Indo-Gangetic Plain with a focus on Lahore
inferred← citeshttps://doi.org/10.1007/s12040-022-01874-5openalex-snapshot
A study to improve the fog/visibility forecast at IGI Airport, New Delhi during the winter season 2020–2021
inferred← citeshttps://doi.org/10.1007/s12210-022-01060-1openalex-snapshot
A review on factors influencing fog formation, classification, forecasting, detection and impacts
inferred← citeshttps://doi.org/10.1007/s12524-024-01907-0openalex-snapshot
Development of Fog Detection Algorithm Using AWiFS Data: A Case Study Over Indo-Gangetic Plains
inferred← citeshttps://doi.org/10.1007/s12524-025-02285-xopenalex-snapshot
Analysis of Fog Occurrence During Night time Over the Indo-Gangetic Plain with INSAT-3DR Data Channel Difference Method
inferred← citeshttps://doi.org/10.1007/s13143-018-0093-0openalex-snapshot
Development of Fog Detection Algorithm during Nighttime Using Himawari-8/AHI Satellite and Ground Observation Data
inferred← citeshttps://doi.org/10.1007/s13351-026-4247-1openalex-snapshot
High-Resolution Fog Detection over a Mountainous Lake Basin
inferred← citeshttps://doi.org/10.1016/j.atmosres.2017.11.018openalex-snapshot
On the theoretical aspects of improved fog detection and prediction in India
inferred← citeshttps://doi.org/10.1016/j.atmosres.2019.104712openalex-snapshot
Automatic nighttime sea fog detection using GOES-16 imagery
inferred← citeshttps://doi.org/10.1016/j.cliser.2025.100551openalex-snapshot
Himawari-8 satellite detection of morning terrain fog in a subtropical region
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2024.10.014openalex-snapshot
Nighttime fog and low stratus detection under multi-scene and all lunar phase conditions using S-NPP/VIIRS visible and infrared channels
inferred← citeshttps://doi.org/10.1016/j.jqsrt.2014.09.021openalex-snapshot
A method of detecting sea fogs using CALIOP data and its application to improve MODIS-based sea fog detection
inferred← citeshttps://doi.org/10.1016/j.rse.2018.04.019openalex-snapshot
Improved detection of low stratus and fog at dawn from dual geostationary (COMS and FY-2D) satellites
inferred← citeshttps://doi.org/10.1016/j.rse.2022.113128openalex-snapshot
Developing a long-term high-resolution winter fog climatology over south Asia using satellite observations from 2002 to 2020
inferred← citeshttps://doi.org/10.1038/s43247-024-01314-wopenalex-snapshot
Forecasts of fog events in northern India dramatically improve when weather prediction models include irrigation effects
inferred← citeshttps://doi.org/10.1080/01431161.2016.1265691openalex-snapshot
A new multichannel threshold algorithm based on radiative transfer characteristics for detecting fog/low stratus using night-time NPP/VIIRS data
inferred← citeshttps://doi.org/10.1080/01431161.2022.2065895openalex-snapshot
A large-region fog detection algorithm at dawn and dusk for high-frequency Himawari-8 satellite data
inferred← citeshttps://doi.org/10.1093/aob/mcz085openalex-snapshot
Islands in the desert: environmental distribution modelling of endemic flora reveals the extent of Pleistocene tropical relict vegetation in southern Arabia
inferred← citeshttps://doi.org/10.1109/ccdc62350.2024.10587739openalex-snapshot
Multi-source Data Fusion Network for Sea Fog Detection
inferred← citeshttps://doi.org/10.1109/jstars.2015.2493000openalex-snapshot
Detection of Day Time Fog Over India Using INSAT-3D Data
inferred← citeshttps://doi.org/10.1109/jstars.2017.2759197openalex-snapshot
Detection of Fog Using Temporally Consistent Algorithm With INSAT-3D Imager Data Over India
inferred← citeshttps://doi.org/10.1175/bams-d-21-0197.1openalex-snapshot
WiFEX: Walk into the Warm Fog over Indo-Gangetic Plain Region
inferred← citeshttps://doi.org/10.1175/ei-d-15-0033.1openalex-snapshot
Spatial and Temporal Patterns of Cloud Cover and Fog Inundation in Coastal California: Ecological Implications
inferred← citeshttps://doi.org/10.1175/waf-d-15-0050.1openalex-snapshot
Three Cases of a New Multichannel Threshold Technique to Detect Fog/Low Stratus during Nighttime Using SNPP Data
inferred← citeshttps://doi.org/10.18520/cs/v112/i04/767-784openalex-snapshot
Winter Fog Experiment Over the Indo-Gangetic Plains of India
inferred← citeshttps://doi.org/10.18520/cs/v115/i7/1358-1366openalex-snapshot
Identification of Weather Events from INSAT-3D RGB Scheme using RAPID Tool
inferred← citeshttps://doi.org/10.18520/cs/v115/i7/1366-1374openalex-snapshot
Analysis of Worldview-2 Band Importance in Tree Species Classification based on Recursive Feature Elimination
inferred← citeshttps://doi.org/10.2139/ssrn.7232708openalex-snapshot
SST-BTD as a discriminant of nighttime clear and sea fog/low stratus skies: A case study over the China's coastal region
inferred← citeshttps://doi.org/10.31223/x5vg9dopenalex-snapshot
Developing a long-term high-resolution winter fog climatology over south Asia using satellite observations from 2002 to 2020
inferred← citeshttps://doi.org/10.3390/environments10120224openalex-snapshot
Fog Water: A General Review of Its Physical and Chemical Aspects
inferred← citeshttps://doi.org/10.3390/rs11111283openalex-snapshot
Probability Index of Low Stratus and Fog at Dawn using Dual Geostationary Satellite Observations from COMS and FY-2D near the Korean Peninsula
inferred← citeshttps://doi.org/10.3390/rs14174328openalex-snapshot
Satellite Fog Detection at Dawn and Dusk Based on the Deep Learning Algorithm under Terrain-Restriction
inferred← citeshttps://doi.org/10.3390/rs15092331openalex-snapshot
A Novel ST-ViBe Algorithm for Satellite Fog Detection at Dawn and Dusk
inferred← citeshttps://doi.org/10.3390/rs18193306openalex-snapshot
Radiometric Retrieval of LWP and COD in Radiation Fog Using Dual-Height Observations, and the Observability of Reff
inferred← citeshttps://doi.org/10.3390/rs6065124openalex-snapshot
Daytime Low Stratiform Cloud Detection on AVHRR Imagery
inferred← citeshttps://doi.org/10.5194/isprs-archives-xlii-5-511-2018openalex-snapshot
RADIATIVE TRANSFER MODEL SIMULATIONS TO DETERMINE THE NIGHT TIME FOG DETECTION THRESHOLD
inferred← citeshttps://doi.org/10.54302/mausam.v67i1.1147openalex-snapshot
Tools from the Indian space programme for observing and forecasting extreme weather events - Retrospect and prospect
inferred← citeshttps://doi.org/10.54302/mausam.v70i4.210openalex-snapshot
Use of satellite observations for weather prediction
inferred← citeshttps://doi.org/10.54302/mausam.v75i1.5916openalex-snapshot
An analysis of fog events in respect of winter season 2021-2022 using model reanalysis & INSAT-3D/3DR satellite data
inferred← citeshttps://doi.org/10.58825/jog.2023.17.2.33openalex-snapshot
FOG/VISIBILITY FORECAST AND VERIFICATION AT IGI AIRPORT, NEW DELHI DURING THE WINTER SEASONS OF 2020-21 & 2021-22
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