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QUantitative and Automatic Atmospheric Correction (QUAAC): Application and Validation [PDF]

open access: yesSensors, 2022
The difficulty of atmospheric correction based on a radiative transfer model lies in the acquisition of synchronized atmospheric parameters, especially the aerosol optical depth (AOD).
Shumin Liu   +12 more
doaj   +2 more sources

PACO: Python-Based Atmospheric COrrection. [PDF]

open access: yesSensors (Basel), 2020
The atmospheric correction of satellite images based on radiative transfer calculations is a prerequisite for many remote sensing applications. The software package ATCOR, developed at the German Aerospace Center (DLR), is a versatile atmospheric correction software, capable of processing data acquired by many different optical satellite sensors. Based
de Los Reyes R   +9 more
europepmc   +6 more sources

Impact of Atmospheric Correction on Classification and Quantification of Seagrass Density from WorldView-2 Imagery [PDF]

open access: yesRemote Sensing, 2023
Mapping the seagrass distribution and density in the underwater landscape can improve global Blue Carbon estimates. However, atmospheric absorption and scattering introduce errors in space-based sensors’ retrieval of sea surface reflectance, affecting ...
Victoria J. Hill   +7 more
doaj   +2 more sources

Atmospheric Correction Inter-comparison eXercise. [PDF]

open access: yesRemote Sens (Basel), 2018
The Atmospheric Correction Inter-comparison eXercise (ACIX) is an international initiative with the aim to analyse the Surface Reflectance (SR) products of various state-of-the-art atmospheric correction (AC) processors. The Aerosol Optical Thickness (AOT) and Water Vapour (WV) are also examined in ACIX as additional outputs of AC processing.
Doxani G   +14 more
europepmc   +11 more sources

Evaluation of atmospheric correction algorithms for salt lake water assessment: Accuracy, band-specific effects, and sensor consistency. [PDF]

open access: yesPLoS ONE
Atmospheric correction plays an important role in satellite monitoring of lake water quality. However, different atmospheric correction algorithms yield significantly different accuracy for inland lake waters beset by shallowness and turbidity. Finding a
Changjiang Liu   +4 more
doaj   +2 more sources

Atmospheric correction of APEX hyperspectral data [PDF]

open access: yesMiscellanea Geographica: Regional Studies on Development, 2016
Atmospheric correction plays a crucial role among the processing steps applied to remotely sensed hyperspectral data. Atmospheric correction comprises a group of procedures needed to remove atmospheric effects from observed spectra, i.e.
Sterckx Sindy   +5 more
doaj   +2 more sources

Modification of 6SV to remove skylight reflected at the air-water interface: Application to atmospheric correction of Landsat 8 OLI imagery in inland waters. [PDF]

open access: yesPLoS ONE, 2018
During the atmospheric correction of remote sensing data in inland waters, the original Second Simulation of the Satellite Signal in the Solar Spectrum-Vector version (6SV) model does not eliminate the specular reflection of downward skylight radiance at
Zhaoyi Lu   +6 more
doaj   +2 more sources

Effect of Atmospheric Corrections on NDVI: Intercomparability of Landsat 8, Sentinel-2, and UAV Sensors

open access: yesRemote Sensing, 2021
Sentinel-2 and Landsat 8 satellites constitute an unprecedented source of freely accessible satellite imagery. To produce precise outputs from the satellite data, however, proper use of atmospheric correction methods is crucial.
David Moravec   +3 more
doaj   +1 more source

Removing InSAR Topography-Dependent Atmospheric Effect Based on Deep Learning

open access: yesRemote Sensing, 2022
Atmospheric effects are among the primary error sources affecting the accuracy of interferometric synthetic aperture radar (InSAR). The topography-dependent atmospheric effect is particularly noteworthy in reservoir areas for landslide monitoring ...
Chen Chen   +8 more
doaj   +1 more source

Impact of Various Atmospheric Corrections on Sentinel-2 Land Cover Classification Accuracy Using Machine Learning Classifiers

open access: yesISPRS International Journal of Geo-Information, 2020
Atmospheric correction is one of the key parts of remote sensing preprocessing because it can influence and change the final classification result.
Luka Rumora, Mario Miler, Damir Medak
doaj   +1 more source

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