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Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services

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TLDR
An overview of the GMES Sentinel-2 mission including a technical system concept overview, image quality, Level 1 data processing and operational applications is provided.
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This article is published in Remote Sensing of Environment.The article was published on 2012-05-15. It has received 2517 citations till now.

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Landsat-8: Science and Product Vision for Terrestrial Global Change Research

TL;DR: Landsat 8, a NASA and USGS collaboration, acquires global moderate-resolution measurements of the Earth's terrestrial and polar regions in the visible, near-infrared, short wave, and thermal infrared as mentioned in this paper.
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Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data

TL;DR: A multilevel DL architecture that targets land cover and crop type classification from multitemporal multisource satellite imagery outperforms the one with MLPs allowing us to better discriminate certain summer crop types.
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Improvement and expansion of the Fmask algorithm: cloud, cloud shadow, and snow detection for Landsats 4–7, 8, and Sentinel 2 images

TL;DR: In this article, a new cirrus band was introduced for detecting clouds, especially for thin cirrus clouds, and a new version of the Fmask algorithm was developed for use with Landsat 8 images.
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Preliminary analysis of the performance of the Landsat 8/OLI land surface reflectance product

TL;DR: The Landsat 8 Operational Land Imager (OLI) atmospheric correction algorithm is developed using the Second Simulation of the Satellite Signal in the Solar Spectrum Vectorial (6SV) model, refined to take advantage of the narrow OLI spectral bands, improved radiometric resolution and signal-to-noise.
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Continuous change detection and classification of land cover using all available Landsat data

TL;DR: In this article, a two-step cloud, cloud shadow, and snow masking algorithm is used for eliminating noisy observations and a time series model that has components of seasonality, trend, and break estimates surface reflectance and brightness temperature.
References
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Journal ArticleDOI

The Shuttle Radar Topography Mission

TL;DR: The Shuttle Radar Topography Mission produced the most complete, highest-resolution digital elevation model of the Earth, using dual radar antennas to acquire interferometric radar data, processed to digital topographic data at 1 arc sec resolution.

The Shuttle Radar Topography Mission

TL;DR: The most complete digital topographic map of Earth was made by the Shuttle Radar Topography Mission (SRTM) as discussed by the authors, which used a single-pass radar interferometer to produce a digital elevation model (DEM) of the Earth's land surface between about 60 deg north and 56 deg south latitude.
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Change detection techniques

TL;DR: This paper is a comprehensive exploration of all the major change detection approaches implemented as found in the literature and summarizes and reviews these techniques.
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Summary of Current Radiometric Calibration Coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI Sensors

TL;DR: In this paper, a summary of the current equations and rescaling factors for converting calibrated Digital Numbers (DNs) to absolute units of at-sensor spectral radiance, Top-Of- Atmosphere (TOA) reflectance, and atsensor brightness temperature is provided.
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Technical note: The libRadtran software package for radiative transfer calculations - description and examples of use

TL;DR: The uvspec program, a suite of tools for radiative transfer calculations in the Earth's atmosphere, and additional tools included with libRadtran are described and realistic examples of their use are given.
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