Results 91 to 100 of about 9,529 (202)

Recent Changes and Variability of Suspended Particulate Matter in European and Mediterranean Coastal Waters Inferred From OLCI Data

Journal of Geophysical Research: Oceans, Volume 131, Issue 5, May 2026.
Abstract Suspended Particulate Matter (SPM) plays a central role in coastal marine ecosystems, influencing light availability, primary production, and transport of sediments, nutrients, and pollutants. Monitoring its variability is essential for understanding the impacts of both natural and anthropogenic pressures on coastal regions.
Corentin Subirade, Cédric Jamet, Vincent Vantrepotte   +2 more
wiley   +1 more source

Evaluation of Vegetation Biophysical Variables Time Series Derived from Synthetic Sentinel-2 Images

Remote Sensing, 2019
Time series of vegetation biophysical variables (leaf area index (LAI), fraction canopy cover (FCOVER), fraction of absorbed photosynthetically active radiation (FAPAR), canopy chlorophyll content (CCC), and canopy water content (CWC)) were estimated ...
Najib Djamai, Detang Zhong, Richard Fernandes, Fuqun Zhou   +3 more
doaj   +1 more source

Water Spectra Reconstruction for Sentinel-2 MSI: From Multispectral to Hyperspectral

Remote Sensing
For studies utilizing methods such as water color parameter inversion and algal bloom classification, abundant spectral bands and high spectral resolution are of great significance. However, for multispectral satellite sensors that are not designed for water color studies (e.g., Sentinel-2 MSI), the number of bands in the visible–near-infrared range is
Songyu Chen, Yali Guo, Haiyang Zhao, Xiaodao Wei, Guojian Chen, Yuan Zhang   +5 more
openaire   +1 more source

Multi‐Sensor Spatiotemporal Fusion for 30‐m Daily Gapless Snow Cover Mapping

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract High spatiotemporal resolution remote sensing data is crucial for monitoring heterogeneous mountainous snow cover. Although spatiotemporal fusion presents a promising approach for high‐resolution snow monitoring, cloud contamination and sparse observations remain a critical constraint on its large‐scale and long‐term implementation. To address
Jinhang Wu, Xueliang Zhang, Pengfeng Xiao, Yumeng Jia, Bo Tang, Yan Liu   +5 more
wiley   +1 more source

Multimodal Probabilistic Latent Semantic Analysis for Sentinel-1 and Sentinel-2 Image Fusion [PDF]

, 2018
Probabilistic topic models have recently shown a great potential in the remote sensing image fusion field, which is particularly helpful in land-cover categorization tasks.
Haut, Juan M., Paoletti, Mercedes Eugenia, Pla, Filiberto, Plaza, Antonio, Fernandez-Beltran, Ruben, Plaza, Javier   +5 more
core   +1 more source

Cotton aphid infestation monitoring using Sentinel-2 MSI imagery coupled with derivative of ratio spectroscopy and random forest algorithm. [PDF]

Front Plant Sci, 2022
Fu H, Zhao H, Song R, Yang Y, Li Z, Zhang S.   +5 more
europepmc   +1 more source

Sentinel-2 MSI Radiometric Characterization and Cross-Calibration with Landsat-8 OLI

Advances in Remote Sensing, 2017
Near-nadir observations by the Multispectral Instrument (MSI) onboard the Sentinel-2 and the Operational Land Imager (OLI) onboard Landsat 8 were collected during two Simultaneous Nadir Overpasses (SNO). Multispectral images with 10, 20, and 30 m resolution from a spatially uniform area in the Saharan desert were acquired for direct comparison of MSI ...
Shuang Li, Sangram Ganguly, Jennifer L. Dungan, Weile Wang, Ramakrishna R. Nemani   +4 more
openaire   +2 more sources

In-Orbit Radiometric Performance of Sentinel-2/MSI: Inter-comparison with LANDSAT8/OLI-1 and LANDSAT9/OLI-2 Over Desert PICS using DIMITRI-toolbox

, 2022
The Sentinel-2 constellation consists of two units MSI-A & MSI-B, which are Earth Observation (EO) optical missions developed and operated by the European Space Agency (ESA) in the framework of the Copernicus programme of the European Commission.
Clerc, S., Boccia, V., Lafrance, B., Mackenzie, C., Bruniquel, J., Jackson, J., Bouvet, M., Alhammoud, B., Enache, S., Iannone, R.   +9 more
core  

Comparison of Sentinel-2 Multispectral Imager (MSI) and Landsat 8 Operational Land Imager (OLI) for Vegetation Monitoring

, 2020
International audienceThe availability of the coarse to moderate resolution no-cost remotesensing data and advances in image processing algorithms have exponentiallyincreased the usage of geo-spatial technology in the last few decades. The latestSentinel-
Das, Pulakesh, Pulakesh Das, Ghosh, Santanu, Behera, Debabrata, Santanu Ghosh, Debabrata Behera, S. Jayakumar, Jayakumar, S.   +7 more
core   +1 more source

Retrieving Inland Reservoir Water Quality Parameters Using Landsat 8-9 OLI and Sentinel-2 MSI Sensors with Empirical Multivariate Regression. [PDF]

Int J Environ Res Public Health, 2022
Meng H, Zhang J, Zheng Z.
europepmc   +1 more source