Results 21 to 30 of about 1,837,672 (176)

Evaluation of Remote-Sensing Reflectance Products from Multiple Ocean Color Missions in Highly Turbid Water (Hangzhou Bay)

open access: yesRemote Sensing, 2021
Validation of remote-sensing reflectance (Rrs) products is necessary for the quantitative application of ocean color satellite data. While validation of Rrs products has been performed in low to moderate turbidity waters, their performance in highly ...
Yuzhuang Xu   +5 more
doaj   +1 more source

Remote Sensing Big Data for Water Environment Monitoring: Current Status, Challenges, and Future Prospects

open access: yesEarth's Future, Volume 10, Issue 2, February 2022., 2022
Abstract Accurate water extraction and quantitative estimation of water quality are two key and challenging issues for remote sensing of water environment. Recent advances in remote sensing big data, cloud computing, and machine learning have promoted these two fields into a new era.
Jinyue Chen   +8 more
wiley   +1 more source

Simulation of Sedimentation in Lake Taihu with Geostationary Satellite Ocean Color Data

open access: yesRemote Sensing, 2019
In this study, the goal is to estimate the sedimentation on the bottom bed of Lake Taihu using numerical simulation combined with geostationary satellite ocean color data.
Anpeng He   +6 more
doaj   +1 more source

Retrieval and Uncertainty Analysis of Land Surface Reflectance Using a Geostationary Ocean Color Imager

open access: yesRemote Sensing, 2022
Land surface reflectance (LSR) is well known as an essential variable to understand land surface properties. The Geostationary Ocean Color Imager (GOCI) be able to observe not only the ocean but also the land with the high temporal and spatial resolution
Kyeong-Sang Lee   +6 more
doaj   +1 more source

GIS‐Based Remote Sensing Image Information Analysis of the South Atlantic Ecological Environment and Diversity of Deep‐Sea Microorganism with Antifungal Effects

open access: yesAdvances in Mathematical Physics, Volume 2022, Issue 1, 2022., 2022
This paper uses the GIS technology to collect location and geographic information of the South Atlantic ecological environment and then uses the remote sensing image technology to extract and analyse the collected information to provide a strong basis for maintaining a healthy marine ecological environment. Based on multitemporal remote sensing images,
Jingjing Xu, Peisheng Yan, Miaochao Chen
wiley   +1 more source

Evaluation of Stray Light Correction for GOCI Remote Sensing Reflectance Using in Situ Measurements

open access: yesRemote Sensing, 2016
The Geostationary Ocean Color Imager (GOCI) is the world’s first ocean color sensor in geostationary orbit. Although the GOCI has shown excellent radiometric performance with little long-term radiometric degradation and a high signal-to-noise ratio ...
Wonkook Kim   +3 more
doaj   +1 more source

Evaluation of Four Atmospheric Correction Algorithms for GOCI Images over the Yellow Sea

open access: yesRemote Sensing, 2019
Atmospheric correction (AC) for coastal waters is an important issue in ocean color remote sensing. AC performance is fundamental in retrieving reliable water-leaving radiances and then bio-optical parameters.
Xiaocan Huang   +7 more
doaj   +1 more source

Retrieval of Chlorophyll a Concentration Using GOCI Data in Sediment-Laden Turbid Waters of Hangzhou Bay and Adjacent Coastal Waters

open access: yesJournal of Marine Science and Engineering, 2023
The Geostationary Ocean Color Imager (GOCI) provided images at hourly intervals up to 8 times per day with a spatial resolution of 500 m from 2011 to 2021.
Yixin Yang   +6 more
doaj   +1 more source

The Map Data of BRDF-Adjusted Surface Reflectance from GOCI Geostationary Satellite Imagery over Korean Peninsula [PDF]

open access: yesGeo Data, 2021
In this study, the spatial maps of the BRDF (Bidirectional Reflectance Distribution Function) adjusted surface reflectance (SR) were estimated by using the Geostationary Ocean Color Imager (GOCI) mounted on the Communication, Ocean and Meteorological ...
Jong-Min Yeom
doaj   +1 more source

An Improved Cloud Masking Method for GOCI Data over Turbid Coastal Waters

open access: yesRemote Sensing, 2021
Clouds severely hinder the radiative transmission of visible light; thus, correctly masking cloudy and non-cloudy pixels is a preliminary step in processing ocean color remote sensing data.
Shiming Lu   +6 more
doaj   +1 more source

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