Results 51 to 60 of about 1,277 (193)

Entering the Era of Directly Supporting Society With Observation‐Based Ocean Acidification Data

Perspectives of Earth and Space Scientists, Volume 7, Issue 1, December 2026.
Abstract Ocean acidification is a growing concern for many nations around the world. However, our capacity to monitor changes in carbonate chemistry with sufficient spatial and temporal resolution, has until now, been limited, which has impeded effective action and decision‐making at international, national, and regional levels.
Helen S. Findlay, Lucile Gaultier, Luke Gregor, Nicolas Gruber, Peter Land, Daniel Ford, Roberto Sabia, Aleluia Taise‐Uili, Stephen Widdicombe, Jan Newton, Kaitlyn Lowder, Jamie Shutler   +11 more
wiley   +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

Estimation of Total Phosphorus Concentration in Lakes in the Yangtze-Huaihe Region Based on Sentinel-3/OLCI Images

Remote Sensing, 2023
Total phosphorus (TP) concentration is a crucial parameter to assess eutrophication in lakes. As one of the most concentrated regions for freshwater lakes, the Yangtze-Huaihe region plays a significant role in monitoring TP concentrations for the sustainable utilisation of China’s water resources.
Xiaoyang Wang, Youyi Jiang, Mingliang Jiang, Zhigang Cao 0004, Xiao Li, Ronghua Ma, Ligang Xu, Junfeng Xiong   +7 more
openaire   +2 more sources

Strategic Roadmap for Addressing Microplastic Pollution in the Global South: Bridging Monitoring Gaps, Harmonizing Methods, and Building Analytical Capacity

Environmental Quality Management, Volume 35, Issue 4, Summer 2026.
ABSTRACT Microplastic (MP) pollution represents a growing environmental challenge, especially in tropical and subtropical coastal regions of the Global South, where methodological fragmentation, funding discontinuity, and dependence on external analytical infrastructure limit the production of comparable data and the formulation of evidence‐based ...
Guilherme Malafaia, Thiarlen Marinho da Luz   +1 more
wiley   +1 more source

Snow Depth on Arctic Sea Ice Retrieval Using a Synergy of Sentinel‐3's Active and Passive Microwave Instruments

Geophysical Research Letters, Volume 53, Issue 10, 28 May 2026.
Abstract Snow depth remains one of the largest sources of uncertainty in satellite‐derived sea ice thickness (SIT). Here, we introduce the novel Nadir Radiometer and Radar Synergy (NaRRS) method that combines data from Sentinel‐3's Microwave Radiometer (MWR) and Synthetic Aperture Radar Altimeter (SRAL) to retrieve Arctic snow depth on sea ice.
Connor Nelson, Julienne Stroeve, Thomas Lavergne, Jack Landy, Rosemary Willatt, Thomas Johnson, Fabrizio Baordo, Robbie Mallett, Michel Tsamados   +8 more
wiley   +1 more source

Assessment of Atmospheric Correction Algorithms for Sentinel-3 OLCI in the Amazon River Continuum

Remote Sensing
Water colour remote sensing is a valuable tool for assessing bio-optical and biogeochemical parameters across the vast extent of the Amazon River Continuum (ARC). However, accurate retrieval depends on selecting the best atmospheric correction (AC). Four AC processors (Acolite, Polymer, C2RCC, OC-SMART) were evaluated against in situ remote sensing ...
Aline de M. Valerio, Milton Kampel, Vincent Vantrepotte, Victoria Ballester, Jeffrey E. Richey   +4 more
openaire   +3 more sources

Mapping Water Quality Parameters with Sentinel-3 Ocean and Land Colour Instrument imagery in the Baltic Sea

Remote Sensing, 2017
The launch of Ocean and Land Colour Instrument (OLCI) on board Sentinel-3A in 2016 is the beginning of a new era in long time, continuous, high frequency water quality monitoring of coastal waters.
Kaire Toming, Tiit Kutser, Rivo Uiboupin, Age Arikas, Kaimo Vahter, Birgot Paavel   +5 more
doaj   +1 more source

Retrieving Crop Leaf Chlorophyll Content Using an Improved Look-Up-Table Approach by Combining Multiple Canopy Structures and Soil Backgrounds

Remote Sensing, 2020
Leaf chlorophyll content (LCC) is a pivotal parameter in the monitoring of agriculture and carbon cycle modeling at regional and global scales. ENVISAT MERIS and Sentinel-3 OLCI data are suitable for use in the global monitoring of LCC because of their ...
Xiaojin Qian, Liangyun Liu
doaj   +1 more source

Remote sensing of suspended sediment in high turbid estuary from sentinel-3A/OLCI: A case study of Hangzhou Bay

Frontiers in Marine Science, 2022
The suspended sediment in water infers water quality, and directly reflects optical properties such as water transparency, turbidity, and water color. Thus, these physical properties provide a viable basis to rigorously retrieve for suspended sediment ...
Zhifeng Yu, Zhifeng Yu, Jingwen Wang, Yuan Li, CK Shum, CK Shum, Ben Wang, Xianqiang He, Huiyan Xu, Huiyan Xu, Yuzhuang Xu, Bin Zhou, Bin Zhou, Bin Zhou   +13 more
doaj   +1 more source

Fusing Multi‐ and Hyperspectral Satellite Data for Harmful Algal Bloom Monitoring With Self‐Supervised and Hierarchical Deep Learning

Earth and Space Science, Volume 13, Issue 5, May 2026.
Abstract We present a self‐supervised machine learning framework for detecting and mapping the severity and speciation of harmful algal blooms (HABs) using multi‐sensor satellite data. By fusing reflectance data from operational polar‐orbiting satellite‐based instruments (VIIRS, MODIS, OLCI, and OCI) with TROPOMI solar‐induced fluorescence (SIF), our ...
Nicholas J. LaHaye, Kelly M. Luis, Michelle M. Gierach   +2 more
wiley   +1 more source