Results 131 to 140 of about 274 (160)

Methods, availability, and applications of PM_2.5 exposure estimates derived from ground measurements, satellite, and atmospheric models. [PDF]

J Air Waste Manag Assoc, 2019
Diao M, Holloway T, Choi S, O'Neill SM, Al-Hamdan MZ, Van Donkelaar A, Martin RV, Jin X, Fiore AM, Henze DK, Lacey F, Kinney PL, Freedman F, Larkin NK, Zou Y, Kelly JT, Vaidyanathan A.   +16 more
europepmc   +1 more source

Integration of Remote Sensing and Social Sensing Data in a Deep Learning Framework for Hourly Urban PM_2.5 Mapping. [PDF]

Int J Environ Res Public Health, 2019
Shen H, Zhou M, Li T, Zeng C.
europepmc   +1 more source

Atmospheric Correction of Satellite Ocean-Color Imagery During the PACE Era. [PDF]

Front Earth Sci (Lausanne), 2019
Frouin RJ, Franz BA, Ibrahim A, Knobelspiesse K, Ahmad Z, Cairns B, Chowdhary J, Dierssen HM, Tan J, Dubovik O, Huang X, Davis AB, Kalashnikova O, Thompson DR, Remer LA, Boss E, Coddington O, Deschamps PY, Gao BC, Gross L, Hasekamp O, Omar A, Pelletier B, Ramon D, Steinmetz F, Zhai PW.   +25 more
europepmc   +1 more source

A Review of Protocols for Fiducial Reference Measurements of Downwelling Irradiance for the Validation of Satellite Remote Sensing Data over Water. [PDF]

Remote Sens (Basel), 2019
Ruddick KG, Voss K, Banks AC, Boss E, Castagna A, Frouin R, Hieronymi M, Jamet C, Johnson BC, Kuusk J, Lee Z, Ondrusek M, Vabson V, Vendt R.   +13 more
europepmc   +1 more source

Exploring the Impacts of Anthropogenic Disturbance on Seawater and Sediment Microbial Communities in Korean Coastal Waters Using Metagenomics Analysis. [PDF]

Int J Environ Res Public Health, 2017
Won NI, Kim KH, Kang JH, Park SR, Lee HJ.   +4 more
europepmc   +1 more source

Satellite remote sensing of harmful algal blooms (HABs) and a potential synthesized framework. [PDF]

Sensors (Basel), 2012
Shen L, Xu H, Guo X.
europepmc   +1 more source

Solar powered integrated multi sensors to monitor inland lake water quality using statistical data fusion technique with Kalman filter. [PDF]

Sci Rep
Priyanka EB, Thangavel S, Mohanasundaram R, Anand R.   +3 more
europepmc   +1 more source

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Overview of geostationary ocean color imager (GOCI) and GOCI data processing system (GDPS)

Ocean Science Journal, 2012
GOCI, the world’s first geostationary ocean color satellite, provides images with a spatial resolution of 500 m at hourly intervals up to 8 times a day, allowing observations of short-term changes in the Northeast Asian region. The GOCI Data Processing System (GDPS), a specialized data processing software for GOCI, was developed for real-time ...
Yu-Hwan Ahn, Joo-Hyung Ryu, Young-Je Park   +2 more
exaly   +2 more sources

Development of atmospheric correction algorithm for Geostationary Ocean Color Imager (GOCI)

Ocean Science Journal, 2012
This paper describes an atmospheric correction algorithm for Geostationary Ocean Color Imager (GOCI) and its early phase evaluation. This algorithm was implemented in GOCI Data Processing System (GDPS) version 1.1. The algorithm is based on the standard SeaWiFS method, which accounts for multiple scattering effects and partially updated in terms of ...
Jae-Hyun Ahn, Joo-Hyung Ryu, Young-Je Park   +2 more
exaly   +2 more sources

Application of the Geostationary Ocean Color Imager (GOCI) to mapping the temporal dynamics of coastal water turbidity

Remote Sensing of Environment, 2014
Dynamic variations in coastal water turbidity are key to understanding the sedimentary processes on the west coast of the Korean Peninsula, which has vast tidal flats and a sedimentary environment affected by semi-diurnal tides. The aim of this study is to investigate temporal variations in total suspended matter (TSM) distribution along a coastal ...
Jongkuk Choi, Joo-Hyung Ryu, Jeong-Eon Moon   +2 more
exaly   +2 more sources