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Fusing Sentinel-2 Satellite Images and Aerial RGB Images

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
Sentinel-2 (S2) is a constellation of two satellites that frequently acquire optical imagery over land and coastal waters. The S2 sensors have three spatial resolutions: 10, 20, and 60 m. Many remote sensing applications require the spatial resolution to be at the highest resolution, i.e., 10 m for S2.
Jakob Sigurdsson   +2 more
openaire   +1 more source

Useable machine learning for Sentinel-2 multispectral satellite imagery

Image and Signal Processing for Remote Sensing XXVII, 2021
One of the challenges when building Machine Learning (ML) models using satellite imagery is building sufficiently labeled data sets for training. In the past, this problem has been addressed by adapting computer vision approaches to GIS data with significant recent contributions to the field.
Scott Langevin   +8 more
openaire   +1 more source

A fast radiometric correction method for Sentinel-2 satellite images

Aircraft Engineering and Aerospace Technology, 2021
Purpose Radiometric calibration is a method that estimates the reflection of the target from the measured input radiation. The purpose of this study is to radiometrically calibrate three spectral bands of Sentinel-2A, including green, red and infrared. For this purpose, Landsat-8 OLI data are used.
Elahe Moradi, Alireza Sharifi
openaire   +1 more source

A novel method for Sentinel-2 satellite images radiometric calibration

2021
Background and objective: Absolute and Relative Models of Radiometric Corrections Due to the relative information provided from different parts of the globe, there are always errors when correcting images, which has led many researchers to develop local models or design tools to obtain information about the situation of Atmospheric of the area under ...
Bashiri, Abbas   +4 more
openaire   +1 more source

Application SIG d’extraction et d’exploitation des données satellite (Sentinel-2)

2021
This work is part of the completion of our graduation internship at the National Engineering School of Carthage (ENICar). The internship took place in the company YEBNI Information Communication with the creating a GIS application for the extraction and exploitation of satellite data (Sentinel-2).
Jday, Mohamed Amine, Daassi, Olfa
openaire   +1 more source

Agricultural land monitoring using SENTINEL-2 satellite data

Vestnik KazNRTU, 2021
M.A. Alpysbay, A.Z. Gapparov
openaire   +1 more source

Automating an Image Processing Chain of the Sentinel-2 Satellite

2018
In this paper, a chain of satellite image processing using free software libraries is proposed, to estimate biophysical parameters using data from the Sentinel-2 satellite. In particular, the processing chain proposed allows atmospheric correction, resampling and spatial cropping of satellite images.
Rodrigo Rodriguez-Ramirez   +4 more
openaire   +1 more source

High-resolution urban aerosol monitoring using Sentinel -2 satellite images

2019
Satellite remote sensing aerosol monitoring products are readily available but limited to regional and global scales due to low spatial resolutions making them unsuitable for city-level monitoring. Freely available satellite images such as Sentinel -2 at relatively high spatial (10m) and temporal (5 days) resolutions offer the chance to map aerosol ...
Gitahi, Joseph   +2 more
openaire   +1 more source

Atmospheric Correction Method for Sentinel-2 Satellite Imagery

Acta Optica Sinica, 2018
苏伟 Su Wei   +5 more
openaire   +1 more source

The Copernicus Sentinel-6 mission: Enhanced continuity of satellite sea level measurements from space

Remote Sensing of Environment, 2021
Robert Cullen   +2 more
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