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Validation of atmospheric correction algorithm ATCOR

Pflug, Bringfried and Main-Knorn, Magdalena (2014) Validation of atmospheric correction algorithm ATCOR. In: SPIE Proceedings Lidar, Radar and Passive Atmospheric Measurements II, 9242 (92420W), pp. 1-8. SPIE Digital Library. SPIE Remote Sensing 2014, 22.-25. Sept. 2914, Amsterdam, Niederlande. ISSN doi: 10.1117/12.2067435

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Official URL: http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=1918512


Atmospheric correction of satellite images is necessary for many applications of remote sensing, i.e. computation of vegetation indices and biomass estimation. The largest uncertainty in atmospheric correction arises out of spatial and temporal variation of aerosol amount and type. Therefore validation of aerosol estimation is one important step in validation of atmospheric correction algorithms. Our ground-based measurements of aerosol-optical thickness spectra (AOT) were performed synchronously to overpasses of satellites Rapid-Eye and Landsat. Validation of aerosol retrieval by the widely used atmospheric correction tool ATCOR1,2 was then realized by comparison of AOT derived from satellite data with the ground-truths. Mean uncertainty is ΔAOT550 ≈ 0.04, corresponding approximately to uncertainty in surface albedo of Δρ ≈ 0.004. Generally, ATCOR-derived AOT values are mostly overestimated when compared to the ground-truth measurements. Very little differences are found between Rapid-Eye and Landsat sensors. Differences between using rural and maritime aerosols are negligible within the visible spectral range.

Item URL in elib:https://elib.dlr.de/91900/
Document Type:Conference or Workshop Item (Speech)
Title:Validation of atmospheric correction algorithm ATCOR
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Pflug, Bringfriedbringfried.pflug (at) dlr.deUNSPECIFIED
Main-Knorn, Magdalenamagdalena.main-knorn (at) dlr.deUNSPECIFIED
Date:17 October 2014
Journal or Publication Title:SPIE Proceedings Lidar, Radar and Passive Atmospheric Measurements II
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-8
Comerón, AdolfoUniv Politècnica de Catalunya
Kassianov, Evgueni I.Pacific Northwest National Lab
Picard, Richard H.ARCON Corp
Stein, KarinFraunhofer IOSB
Gonglewski, John D.European Office of Aerospace R&D
Publisher:SPIE Digital Library
ISSN:doi: 10.1117/12.2067435
Keywords:Atmospheric corrections ; Aerosols ; Satellites ; Eye ; Landsat ; Biomass ; Remote sensing ; Satellite imaging ; Sensors ; Vegetation
Event Title:SPIE Remote Sensing 2014
Event Location:Amsterdam, Niederlande
Event Type:international Conference
Event Dates:22.-25. Sept. 2914
Organizer:SPIE Org.
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Entwicklung und Erprobung von Verfahren zur Gewässerfernerkundung (old)
Location: Berlin-Adlershof
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited On:21 Nov 2014 18:40
Last Modified:31 Jul 2019 19:49

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