Results 151 to 160 of about 274 (160)
Some of the next articles are maybe not open access.

Evaluation of the Geostationary Ocean Color Imager (GOCI) to monitor the dynamic characteristics of suspension sediment in Taihu Lake

International Journal of Remote Sensing, 2015
To accurately observe the dynamic concentration of total suspended matter CTSM by geostationary satellite, Geostationary Ocean Color Imager GOCI, a new, regionally empirical combination algorithm, was developed based on the in situ measurement of water properties.
Changchun Huang   +7 more
openaire   +1 more source

Tidal flat reflectance model accommodating tidal conditions using Geostationary Ocean Color Imager (GOCI): Preliminary results

2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
The objective of this study is to develop a tidal flat reflectance model according to tidal conditions. Tidal flat reflectance greatly varies with tidal conditions twice a day that causes changes in water contents along with exposure time, remnant water, etc.
Wook Park   +3 more
openaire   +1 more source

An estimation method for blue tide distribution in Tokyo Bay based on sulfur concentrations using Geostationary Ocean Color Imager (GOCI)

Estuarine, Coastal and Shelf Science, 2020
Abstract Blue tide, which occurs in eutrophic semi-enclosed bays, is recognized as an important environmental problem because it causes mass mortality of fish and shellfish. In Tokyo Bay, which is a typical eutrophic semi-enclosed bay in Japan, fishery damage due to blue tide is frequently reported. Continuous monitoring is needed for effective water
Hiroto Higa   +4 more
openaire   +1 more source

Detecting harmful algal blooms using Geostationary Ocean Color Imager (GOCI) data in Bohai Sea, China

SPIE Proceedings, 2015
Abstract Bohai Sea is a semi-enclosed inland sea with serious environmental problems. Harmful algal blooms (HABs) in Bohai Sea happen almost every year covering a large area for a long duration. Real time detection of the HABs can significantly reduce econom ic loss and assure human safety.
Mingzhu Xu, Zhiqiang Gao, Chaoshun Liu
openaire   +1 more source

Satellite observation of hourly dynamic characteristics of algae with Geostationary Ocean Color Imager (GOCI) data in Lake Taihu

Remote Sensing of Environment, 2015
Abstract Phytoplankton bloom in a shallow inland eutrophic lake (Taihu Lake) is characterized by significant spatial and temporal variation and a high concentration of chlorophyll-a (Cchl-a). The observation of the rapidly changing dynamic characteristics of algae is limited by the insufficient temporal resolution of satellite data. The Geostationary
Changchun Huang   +8 more
openaire   +1 more source

Estimates of diurnal and daily net primary productivity using the Geostationary Ocean Color Imager (GOCI) data

Remote Sensing of Environment, 2022
Jinghui Wu   +14 more
openaire   +1 more source

Performance evaluation of ship detection using the 250m Geostationary Ocean Color Imager-II (GOCI-II)

Remote Sensing for Agriculture, Ecosystems, and Hydrology XXVII
Won-Kyung Baek   +4 more
openaire   +1 more source

Home - About - Disclaimer - Privacy