FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4382561695> ?p ?o ?g. }

• W4382561695 endingPage "3384" @default.
• W4382561695 startingPage "3358" @default.
• W4382561695 abstract "Surface reflectance (SR) is one of the most important components for deriving different biophysical parameters from remotely sensed data. For accurate retrieval of SR, it is essential to accurately estimate the degree of atmospheric alteration to the target signals reaching at-sensor. Simplified and robust SR estimation method (SREM) is one such approximate estimation method that could demonstrate the retrieval of SR from top-of-atmosphere (ToA) signals, without using any precalculated LUTs or aerosol information. The present study attempts to assess the accuracy of the SREM algorithm over varied Indian land surfaces using data from Landsat 8, Sentinel 2, AWiFS and LISS III. The results indicate that while SREM performs quite well for Sentinel 2 over most land surface types, the performance is good for Landsat 8 as well except over water and in coastal aerosol band. SREM retrievals also show high correlation for AWiFS and LISS III but the estimated values are much lower than level 2 SR due to smaller ToA reflectance values. Furthermore, while aerosol load does impact the performance adversely, it is least impactful for Sentinel 2 and LISS III datasets and most over Landsat 8, particularly over water. Additionally, while AWiFS and LISS III SR retrievals are underestimated at all spectral bands, retrieval is slightly underestimated from green to SWIR band in case of Sentinel 2 and SWIR band in case of Landsat 8. Overall, the findings demonstrate that while SREM will need to be modified to adapt to LISS III and AWiFS retrievals, it can, nevertheless, be readily used as a simplified method for quick and approximate estimation of SR over the Indian region using data from Landsat 8 and Sentinel 2." @default.
• W4382561695 created "2023-06-30" @default.
• W4382561695 creator A5027620539 @default.
• W4382561695 creator A5065188956 @default.
• W4382561695 date "2023-06-03" @default.
• W4382561695 modified "2023-10-16" @default.
• W4382561695 title "Evaluation of surface reflectance retrieval over diverse surface types using SREM algorithm in varied aerosol conditions for coarse to medium resolution data from multiple spaceborne sensors" @default.
• W4382561695 cites W1677562123 @default.
• W4382561695 cites W1778870018 @default.
• W4382561695 cites W1972923945 @default.
• W4382561695 cites W1978125380 @default.
• W4382561695 cites W2006896722 @default.
• W4382561695 cites W2017859040 @default.
• W4382561695 cites W2035781416 @default.
• W4382561695 cites W2042948856 @default.
• W4382561695 cites W2092298430 @default.
• W4382561695 cites W2125763679 @default.
• W4382561695 cites W2129521039 @default.
• W4382561695 cites W2151456308 @default.
• W4382561695 cites W2168997446 @default.
• W4382561695 cites W2179031038 @default.
• W4382561695 cites W2333990577 @default.
• W4382561695 cites W2343501884 @default.
• W4382561695 cites W2344328155 @default.
• W4382561695 cites W2726525165 @default.
• W4382561695 cites W2771333608 @default.
• W4382561695 cites W2883362252 @default.
• W4382561695 cites W2948486712 @default.
• W4382561695 cites W3093276311 @default.
• W4382561695 cites W4205242240 @default.
• W4382561695 doi "https://doi.org/10.1080/01431161.2023.2221799" @default.
• W4382561695 hasPublicationYear "2023" @default.
• W4382561695 type Work @default.
• W4382561695 citedByCount "1" @default.
• W4382561695 countsByYear W43825616952023 @default.
• W4382561695 crossrefType "journal-article" @default.
• W4382561695 hasAuthorship W4382561695A5027620539 @default.
• W4382561695 hasAuthorship W4382561695A5065188956 @default.
• W4382561695 hasConcept C108597893 @default.
• W4382561695 hasConcept C120665830 @default.
• W4382561695 hasConcept C121332964 @default.
• W4382561695 hasConcept C153294291 @default.
• W4382561695 hasConcept C205649164 @default.
• W4382561695 hasConcept C2778329001 @default.
• W4382561695 hasConcept C2779345167 @default.
• W4382561695 hasConcept C39432304 @default.
• W4382561695 hasConcept C62649853 @default.
• W4382561695 hasConcept C65440619 @default.
• W4382561695 hasConceptScore W4382561695C108597893 @default.
• W4382561695 hasConceptScore W4382561695C120665830 @default.
• W4382561695 hasConceptScore W4382561695C121332964 @default.
• W4382561695 hasConceptScore W4382561695C153294291 @default.
• W4382561695 hasConceptScore W4382561695C205649164 @default.
• W4382561695 hasConceptScore W4382561695C2778329001 @default.
• W4382561695 hasConceptScore W4382561695C2779345167 @default.
• W4382561695 hasConceptScore W4382561695C39432304 @default.
• W4382561695 hasConceptScore W4382561695C62649853 @default.
• W4382561695 hasConceptScore W4382561695C65440619 @default.
• W4382561695 hasIssue "11" @default.
• W4382561695 hasLocation W43825616951 @default.
• W4382561695 hasOpenAccess W4382561695 @default.
• W4382561695 hasPrimaryLocation W43825616951 @default.
• W4382561695 hasRelatedWork W1481661428 @default.
• W4382561695 hasRelatedWork W2003990020 @default.
• W4382561695 hasRelatedWork W2016561275 @default.
• W4382561695 hasRelatedWork W2121717348 @default.
• W4382561695 hasRelatedWork W2183026536 @default.
• W4382561695 hasRelatedWork W2352186098 @default.
• W4382561695 hasRelatedWork W2507289964 @default.
• W4382561695 hasRelatedWork W3115127131 @default.
• W4382561695 hasRelatedWork W3140765979 @default.
• W4382561695 hasRelatedWork W830610825 @default.
• W4382561695 hasVolume "44" @default.
• W4382561695 isParatext "false" @default.
• W4382561695 isRetracted "false" @default.
• W4382561695 workType "article" @default.