FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2025183106> ?p ?o ?g. }

• W2025183106 endingPage "6385" @default.
• W2025183106 startingPage "6347" @default.
• W2025183106 abstract "The purpose of atmospheric correction is to produce more accurate surface reflectance and to potentially improve the extraction of surface parameters from satellite images. To achieve this goal the influences of the atmosphere, solar illumination, sensor viewing geometry and terrain information have to be taken into account. Although a lot of information from satellite imagery can be extracted without atmospheric correction, the physically based approach offers advantages, especially when dealing with multitemporal data and/or when a comparison of data provided by different sensors is required. The use of atmospheric correction models is limited by the need to supply data related to the condition of the atmosphere at the time of imaging. Such data are not always available and the cost of their collection is considerable, hence atmospheric correction is performed with the use of standard atmospheric profiles. The use of these profiles results in a loss of accuracy. Therefore, site-dependent databases of atmospheric parameters are needed to calibrate and to adjust atmospheric correction methods for local level applications. In this article, the methodology and results of the project Adjustment of Atmospheric Correction Methods for Local Studies: Application in ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) (ATMOSAT) for the area of Crete are presented. ATMOSAT aimed at comparing several atmospheric correction methods for the area of Crete, as well as investigating the effects of atmospheric correction on land cover classification and change detection. Databases of spatio-temporal distributions of all required input parameters (atmospheric humidity, aerosols, spectral signatures, land cover and elevation) were developed and four atmospheric correction methods were applied and compared. The baseline for this comparison is the spatial distribution of surface reflectance, emitted radiance and brightness temperature as derived by ASTER Higher Level Products (HLPs). The comparison showed that a simple image based method, which was adjusted for the study area, provided satisfactory results for visible, near infrared and short-wave infrared spectral areas; therefore it can be used for local level applications. Finally, the effects of atmospheric correction on land cover classification and change detection were assessed using a time series of ASTER multispectral images acquired in 2000, 2002, 2004 and 2006. Results are in agreement with past studies, indicating that for this type of application, where a common radiometric scale is assumed among the multitemporal images, atmospheric correction should be taken into consideration in pre-processing." @default.
• W2025183106 created "2016-06-24" @default.
• W2025183106 creator A5012042637 @default.
• W2025183106 creator A5027701095 @default.
• W2025183106 creator A5050615763 @default.
• W2025183106 creator A5083148078 @default.
• W2025183106 date "2010-12-14" @default.
• W2025183106 modified "2023-10-16" @default.
• W2025183106 title "Comparison of atmospheric correction methods using ASTER data for the area of Crete, Greece" @default.
• W2025183106 cites W1705484576 @default.
• W2025183106 cites W1966722545 @default.
• W2025183106 cites W1969647395 @default.
• W2025183106 cites W1972923945 @default.
• W2025183106 cites W1976499240 @default.
• W2025183106 cites W1978125380 @default.
• W2025183106 cites W1989314206 @default.
• W2025183106 cites W1991709801 @default.
• W2025183106 cites W1992485651 @default.
• W2025183106 cites W1993174891 @default.
• W2025183106 cites W1997820532 @default.
• W2025183106 cites W2003177657 @default.
• W2025183106 cites W2009269885 @default.
• W2025183106 cites W2018640103 @default.
• W2025183106 cites W2023373255 @default.
• W2025183106 cites W2028884629 @default.
• W2025183106 cites W2031963559 @default.
• W2025183106 cites W2040330600 @default.
• W2025183106 cites W2044400426 @default.
• W2025183106 cites W2051103995 @default.
• W2025183106 cites W2058860098 @default.
• W2025183106 cites W2059779803 @default.
• W2025183106 cites W2085637561 @default.
• W2025183106 cites W2091844025 @default.
• W2025183106 cites W2094493427 @default.
• W2025183106 cites W2103775154 @default.
• W2025183106 cites W2105536959 @default.
• W2025183106 cites W2106870620 @default.
• W2025183106 cites W2109931483 @default.
• W2025183106 cites W2112330009 @default.
• W2025183106 cites W2113865576 @default.
• W2025183106 cites W2114828048 @default.
• W2025183106 cites W2122189253 @default.
• W2025183106 cites W2125763679 @default.
• W2025183106 cites W2129521039 @default.
• W2025183106 cites W2135723070 @default.
• W2025183106 cites W2137578850 @default.
• W2025183106 cites W2142779303 @default.
• W2025183106 cites W2150038996 @default.
• W2025183106 cites W2154201226 @default.
• W2025183106 cites W2158714173 @default.
• W2025183106 cites W2165577558 @default.
• W2025183106 cites W2169447826 @default.
• W2025183106 cites W2174939564 @default.
• W2025183106 cites W2179031038 @default.
• W2025183106 doi "https://doi.org/10.1080/01431160903413697" @default.
• W2025183106 hasPublicationYear "2010" @default.
• W2025183106 type Work @default.
• W2025183106 sameAs 2025183106 @default.
• W2025183106 citedByCount "41" @default.
• W2025183106 countsByYear W20251831062012 @default.
• W2025183106 countsByYear W20251831062013 @default.
• W2025183106 countsByYear W20251831062014 @default.
• W2025183106 countsByYear W20251831062015 @default.
• W2025183106 countsByYear W20251831062016 @default.
• W2025183106 countsByYear W20251831062017 @default.
• W2025183106 countsByYear W20251831062018 @default.
• W2025183106 countsByYear W20251831062019 @default.
• W2025183106 countsByYear W20251831062020 @default.
• W2025183106 countsByYear W20251831062021 @default.
• W2025183106 countsByYear W20251831062022 @default.
• W2025183106 crossrefType "journal-article" @default.
• W2025183106 hasAuthorship W2025183106A5012042637 @default.
• W2025183106 hasAuthorship W2025183106A5027701095 @default.
• W2025183106 hasAuthorship W2025183106A5050615763 @default.
• W2025183106 hasAuthorship W2025183106A5083148078 @default.
• W2025183106 hasConcept C118365302 @default.
• W2025183106 hasConcept C120189094 @default.
• W2025183106 hasConcept C127313418 @default.
• W2025183106 hasConcept C127413603 @default.
• W2025183106 hasConcept C13772937 @default.
• W2025183106 hasConcept C146978453 @default.
• W2025183106 hasConcept C147176958 @default.
• W2025183106 hasConcept C153294291 @default.
• W2025183106 hasConcept C161840515 @default.
• W2025183106 hasConcept C181843262 @default.
• W2025183106 hasConcept C19269812 @default.
• W2025183106 hasConcept C205649164 @default.
• W2025183106 hasConcept C2778329001 @default.
• W2025183106 hasConcept C2780648208 @default.
• W2025183106 hasConcept C39432304 @default.
• W2025183106 hasConcept C4792198 @default.
• W2025183106 hasConcept C58640448 @default.
• W2025183106 hasConcept C62649853 @default.
• W2025183106 hasConcept C65440619 @default.
• W2025183106 hasConceptScore W2025183106C118365302 @default.
• W2025183106 hasConceptScore W2025183106C120189094 @default.
• W2025183106 hasConceptScore W2025183106C127313418 @default.
• W2025183106 hasConceptScore W2025183106C127413603 @default.

• next