Results 31 to 40 of about 274 (160)

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

Remote 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, Xianqiang He, Yan Bai, Difeng Wang, Qiankun Zhu, Xiaosong Ding   +5 more
doaj   +1 more source

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

Earth'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, Shuisen Chen, Rao Fu, Dan Li, Hao Jiang, Chongyang Wang, Yongshi Peng, Kai Jia, Brendan J. Hicks   +8 more
wiley   +1 more source

Geometric accuracy analysis of the Geostationary Ocean Color Imager (GOCI) Level 1B (L1B) product

Optics Express, 2020
The Geostationary Ocean Color Imager (GOCI) has been used for many remote sensing applications to observe and monitor the ocean color of East Asia around the Korean Peninsula. However, to date, its geometric accuracy has not been thoroughly investigated; the only studies conducted so far have focused on verifying its radiometric quality.
Jaehoon, Jeong, Heejeong, Han, Youngje, Park   +2 more
openaire   +2 more sources

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

Advances 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

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

Remote 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, Xianqiang He, Yan Bai, Qiankun Zhu, Fang Gong, Haiqing Huang, Delu Pan   +6 more
doaj   +1 more source

Assessing Net Growth of Phytoplankton Biomass on Hourly to Annual Time Scales Using the Geostationary Ocean Color Instrument

Geophysical Research Letters, Volume 48, Issue 23, 16 December 2021., 2021
Abstract Questions of whether diurnal changes in carbon fixation affect the global carbon budget cannot be answered using the present generation of polar orbiting ocean color sensors that can only retrieve one image daily. Here, we present novel satellite‐derived indices of chlorophyll‐based production based on the Geostationary Ocean Color Imager ...
Joseph E. Salisbury, Bror F. Jönsson, Antonio Mannino, Wonkook Kim, Joaquim I. Goes, Jin‐Yong Choi, Javier A. Concha   +6 more
wiley   +1 more source

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

Remote 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, Jeong-Eon Moon, Jae-Hyun Ahn, Young-Je Park   +3 more
doaj   +1 more source

Radiometric Characteristics of Geostationary Ocean Color Imager (GOCI) for Land Applications

Korean Journal of Remote Sensing, 2012
The GOCI imagery can be an effective alternative to monitor short-term changes over terrestrial environments. This study aimed to assess the radiometric characteristics of the GOCI multispectral imagery for land applications. As an initial approach, we compared GOCI at-sensor radiance with MODIS data obtained simultaneously.
Kyu-Sung Lee, Sung-Min Park, Sun-Hwa Kim, Hwa-Seon Lee, Jung-Il Shin   +4 more
openaire   +2 more sources

Suspended Particle Size Retrieval Based on Geostationary Ocean Color Imager (GOCI) in the Bohai Sea [PDF]

Journal of Coastal Research, 2016
ABSTRACT Jiang, D. J.; Zhang, H.; Zou, T.; Li, Y. F.; Tang C., and Li, R. Z., 2016. Suspended particle size retrieval based on Geostationary Ocean Color Imager (GOCI) in the Bohai Sea. The suspended particle size has an important effect on the settling velocity of particles, the penetration of sunlight into the sea and the transmission of sound.
Dejuan Jiang, Hua Zhang, Tao Zou, Yanfang Li, Cheng Tang, Ruize Li   +5 more
openaire   +1 more source

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

Journal 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, Shuangyan He, Yanzhen Gu, Chengyue Zhu, Longhua Wang, Xiao Ma, Peiliang Li   +6 more
doaj   +1 more source