Results 31 to 40 of about 18,281,908 (140)

Machine-learning-estimation of high-spatiotemporal-resolution chlorophyll-a concentration using multi-satellite imagery

Sustainable Environment Research, 2023
Chlorophyll-a concentration for quantifying phytoplankton biomass is commonly used as an indicator for evaluating the trophic level of lakes and water quality.
Wachidatin Nisaul Chusnah, Hone-Jay Chu, Tatas, Lalu Muhamad Jaelani   +3 more
doaj   +1 more source

Integration of Sentinel-3 OLCI Land Products and MERRA2 Meteorology Data into Light Use Efficiency and Vegetation Index-Driven Models for Modeling Gross Primary Production

Remote Sensing, 2021
Accurately and reliably estimating total terrestrial gross primary production (GPP) on a large scale is of great significance for monitoring the carbon cycle process.
Fengji Zhang, Zhijiang Zhang, Yi Long, Ling Zhang   +3 more
doaj   +1 more source

Integration of Remote Sensing and Mexican Water Quality Monitoring System Using an Extreme Learning Machine

Sensors, 2021
Remote Sensing, as a driver for water management decisions, needs further integration with monitoring water quality programs, especially in developing countries.
Leonardo F. Arias-Rodriguez, Zheng Duan, José de Jesús Díaz-Torres, Mónica Basilio Hazas, Jingshui Huang, Bapitha Udhaya Kumar, Ye Tuo, Markus Disse   +7 more
doaj   +1 more source

Dynamic monitoring of phycocyanin concentration in Chaohu Lake of China using Sentinel-3 images and its indication of cyanobacterial blooms

Ecological Indicators, 2022
Phycocyanin (PC) is an indicator pigment of cyanobacteria in water. Monitoring the dynamic variation of PC concentration in lakes by satellite remote sensing is of great significance for the effective prevention and control of cyanobacterial blooms (CBs).
Jie Wang, Zhicheng Wang, Yuhuan Cui, Shijiang Yan   +3 more
doaj   +1 more source

Evaluating the Performance of Sentinel-3A OLCI Land Products for Gross Primary Productivity Estimation Using AmeriFlux Data

Remote Sensing, 2020
Accurate and reliable estimation of gross primary productivity (GPP) is of great significance in monitoring global carbon cycles. The fraction of absorbed photosynthetically active radiation (FAPAR) and vegetation index products of the Moderate ...
Zhijiang Zhang, Lin Zhao, Aiwen Lin
doaj   +1 more source

Aerosol Optical Properties above Productive Waters of Gorky Reservoir for Atmospheric Correction of Sentinel-3/OLCI Images

Remote Sensing, 2022
The main challenge that one has to face during the atmospheric correction (AC) of productive inland waters is the inability to correctly separate aerosol radiance from water-leaving radiance in the near-infrared range (NIR) bands.
Sergei Fedorov, Aleksandr Molkov, Daria Kalinskaya   +2 more
doaj   +1 more source

Lessons Learned from Operation of On On-Board Calibration Devices on Sentinel Sentinel-2 MSI and Sentinel Sentinel-3 OLCI [PDF]

, 2021
Sentinel-2 MSI and Senitnel-3 OLCI are two visible imagers contributing to the European Copernicus Earth Observation program. Both instruments are periodically calibrated using on-board Sun diffusers.
Clerc, S., Bourg, L.
core   +1 more source

OLCI A/B Tandem Phase Analysis, Part 1: Level 1 Homogenisation and Harmonisation

Remote Sensing, 2020
Copernicus is a European system for monitoring the Earth in support of European policy. It includes the Sentinel-3 satellite mission which provides reliable and up-to-date measurements of the ocean, atmosphere, cryosphere, and land.
Nicolas Lamquin, Sébastien Clerc, Ludovic Bourg, Craig Donlon   +3 more
doaj   +1 more source

Retrieval of Daytime Total Column Water Vapour from OLCI Measurements over Land Surfaces

Remote Sensing, 2021
A new retrieval of total column water vapour (TCWV) from daytime measurements over land of the Ocean and Land Colour Instrument (OLCI) on-board the Copernicus Sentinel-3 missions is presented.
René Preusker, Cintia Carbajal Henken, Jürgen Fischer   +2 more
doaj   +1 more source

Spatio-Temporal Variability of Phytoplankton Primary Production in Baltic Lakes Using Sentinel-3 OLCI Data [PDF]

Remote Sensing, 2020
Phytoplankton primary production (PP) in lakes play an important role in the global carbon cycle. However, monitoring the PP in lakes with traditional complicated and costly in situ sampling methods are impossible due to the large number of lakes worldwide (estimated to be 117 million lakes). In this study, bio-optical modelling and remote sensing data
Tuuli Soomets, Kristi Uudeberg, Kersti Kangro, Dainis Jakovels, Agris Brauns, Kaire Toming, Matiss Zagars, Tiit Kutser   +7 more
openaire   +2 more sources