Results 41 to 50 of about 24,513,203 (206)

Improving Chlorophyll-A Estimation From Sentinel-2 (MSI) in the Barents Sea Using Machine Learning [PDF]

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
This article addresses methodologies for remote sensing of ocean Chlorophyll-a (Chl-a), with emphasis on the Barents Sea. We aim at improving the monitoring capacity by integrating in situ Chl-a observations and optical remote sensing to locally train machine learning (ML) models.
Muhammad Asim 0003   +4 more
openaire   +2 more sources

Use of Sentinel-2 MSI data to monitor crop irrigation in Mediterranean areas

open access: yesInternational Journal of Applied Earth Observation and Geoinformation, 2020
The availability of accurate information on the water consumed for crop irrigation is of vital importance to support compatible and sustainable environmental policies in arid and semi-arid regions. This has promoted several studies about the use of remote sensing data to monitor irrigated croplands, which are mostly based on statistical classification ...
F Maselli   +7 more
openaire   +4 more sources

Detection and Analysis of Burned Areas with Sentinel-2 MSI and Landsat-8 OLI: Çanakkale / Gelibolu Forest Fire

open access: yesDoğal Afetler ve Çevre Dergisi, 2022
Recently, increasing wildfires have caused severe damage to vegetation and many living creatures. Remote sensing technologies and various algorithms are used to determine and analyze the burned forest areas.
Beyza Yılmaz   +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]

open access: yes, 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

Reconstruction of Cloud-free Sentinel-2 Image Time-series Using an Extended Spatiotemporal Image Fusion Approach

open access: yesRemote Sensing, 2020
Time-series for medium spatial resolution satellite imagery are a valuable resource for environmental assessment and monitoring at regional and local scales.
Fuqun Zhou, Detang Zhong, Rihana Peiman
doaj   +1 more source

Mapping the forage nitrogen, phosphorus, and potassium contents of alpine grasslands by integrating Sentinel-2 and Tiangong-2 data

open access: yesPlant Methods, 2023
Nitrogen (N), phosphorus (P), and potassium (K) contents are crucial quality indicators for forage in alpine natural grasslands and are closely related to plant growth and reproduction.
Xuanfan Zhang   +7 more
doaj   +1 more source

Comparison of Landsat-8 and Sentinel-2 Data for Estimation of Leaf Area Index in Temperate Forests

open access: yesRemote Sensing, 2019
With the launch of the Sentinel-2 satellites, a European capacity has been created to ensure continuity of Landsat and SPOT observations. In contrast to previous sensors, Sentinel-2′s multispectral imager (MSI) incorporates three additional ...
Lorenz Hans Meyer   +4 more
doaj   +1 more source

First Experiences in Mapping Lake Water Quality Parameters with Sentinel-2 MSI Imagery [PDF]

open access: yesRemote Sensing, 2016
The importance of lakes and reservoirs leads to the high need for monitoring lake water quality both at local and global scales. The aim of the study was to test suitability of Sentinel-2 Multispectral Imager’s (MSI) data for mapping different lake water quality parameters.
Kaire Toming   +5 more
openaire   +2 more sources

Unsupervised domain adaptation for global urban extraction using Sentinel-1 SAR and Sentinel-2 MSI data

open access: yes, 2022
Accurate and up-to-date maps of built-up areas are crucial to support sustainable urban development. Earth Observation (EO) is a valuable data source to cover this demand.
Andrea Nascetti   +5 more
core   +1 more source

Mapping Mining Areas in the Brazilian Amazon Using MSI/Sentinel-2 Imagery (2017) [PDF]

open access: yesRemote Sensing, 2018
Although mining plays an important role for the economy of the Amazon, little is known about its attributes such as area, type, scale, and current status as well as socio/environmental impacts. Therefore, we first propose a low time-consuming and high detection accuracy method for mapping the current mining areas within 13 regions of the Brazilian ...
Felipe de Lucia Lobo   +4 more
openaire   +3 more sources

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