Matches in SemOpenAlex for { <https://semopenalex.org/work/W2674441608> ?p ?o ?g. }
- W2674441608 endingPage "1455" @default.
- W2674441608 startingPage "1455" @default.
- W2674441608 abstract "A methodology for elaborating multi-temporal Sentinel-1 and Landsat 8 satellite images for estimating topsoil Soil Moisture Content (SMC) to support hydrological simulation studies is proposed. After pre-processing the remote sensing data, backscattering coefficient, Normalized Difference Vegetation Index (NDVI), thermal infrared temperature and incidence angle parameters are assessed for their potential to infer ground measurements of SMC, collected at the top 5 cm. A non-linear approach using Artificial Neural Networks (ANNs) is tested. The methodology is applied in Western Crete, Greece, where a SMC gauge network was deployed during 2015. The performance of the proposed algorithm is evaluated using leave-one-out cross validation and sensitivity analysis. ANNs prove to be the most efficient in SMC estimation yielding R² values between 0.7 and 0.9. The proposed methodology is used to support a hydrological simulation with the HEC-HMS model, applied at the Keramianos basin which is ungauged for SMC. Results and model sensitivity highlight the contribution of combining Sentinel-1 SAR and Landsat 8 images for improving SMC estimates and supporting hydrological studies." @default.
- W2674441608 created "2017-06-30" @default.
- W2674441608 creator A5013809874 @default.
- W2674441608 creator A5015263614 @default.
- W2674441608 creator A5025926901 @default.
- W2674441608 creator A5067585214 @default.
- W2674441608 creator A5081173226 @default.
- W2674441608 date "2017-06-21" @default.
- W2674441608 modified "2023-10-10" @default.
- W2674441608 title "Soil Moisture Content Estimation Based on Sentinel-1 and Auxiliary Earth Observation Products. A Hydrological Approach" @default.
- W2674441608 cites W1096706567 @default.
- W2674441608 cites W1203427803 @default.
- W2674441608 cites W1591196743 @default.
- W2674441608 cites W1662286684 @default.
- W2674441608 cites W1873607511 @default.
- W2674441608 cites W1892914854 @default.
- W2674441608 cites W1965918803 @default.
- W2674441608 cites W1974127093 @default.
- W2674441608 cites W1982328213 @default.
- W2674441608 cites W1984421533 @default.
- W2674441608 cites W1984670836 @default.
- W2674441608 cites W1997512381 @default.
- W2674441608 cites W1998742682 @default.
- W2674441608 cites W2005709139 @default.
- W2674441608 cites W2011659320 @default.
- W2674441608 cites W2014771397 @default.
- W2674441608 cites W2014917534 @default.
- W2674441608 cites W2027386095 @default.
- W2674441608 cites W2033904036 @default.
- W2674441608 cites W2038291063 @default.
- W2674441608 cites W2058232479 @default.
- W2674441608 cites W2059580680 @default.
- W2674441608 cites W2066519477 @default.
- W2674441608 cites W2068621638 @default.
- W2674441608 cites W2075128668 @default.
- W2674441608 cites W2076196252 @default.
- W2674441608 cites W2079397195 @default.
- W2674441608 cites W2095896231 @default.
- W2674441608 cites W2103133249 @default.
- W2674441608 cites W2105424400 @default.
- W2674441608 cites W2108337271 @default.
- W2674441608 cites W2109995285 @default.
- W2674441608 cites W2114569030 @default.
- W2674441608 cites W2116588317 @default.
- W2674441608 cites W2127005631 @default.
- W2674441608 cites W2132159002 @default.
- W2674441608 cites W2137069203 @default.
- W2674441608 cites W2137983211 @default.
- W2674441608 cites W2138149909 @default.
- W2674441608 cites W2142409859 @default.
- W2674441608 cites W2144116683 @default.
- W2674441608 cites W2144447636 @default.
- W2674441608 cites W2150956979 @default.
- W2674441608 cites W2155607073 @default.
- W2674441608 cites W2156932922 @default.
- W2674441608 cites W2160285920 @default.
- W2674441608 cites W2167488158 @default.
- W2674441608 cites W2267551192 @default.
- W2674441608 cites W2301364679 @default.
- W2674441608 cites W2398973817 @default.
- W2674441608 cites W2477041072 @default.
- W2674441608 cites W2509917403 @default.
- W2674441608 cites W2562823005 @default.
- W2674441608 cites W2576649140 @default.
- W2674441608 cites W4242330962 @default.
- W2674441608 cites W748013844 @default.
- W2674441608 cites W785923082 @default.
- W2674441608 doi "https://doi.org/10.3390/s17061455" @default.
- W2674441608 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5492856" @default.
- W2674441608 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28635625" @default.
- W2674441608 hasPublicationYear "2017" @default.
- W2674441608 type Work @default.
- W2674441608 sameAs 2674441608 @default.
- W2674441608 citedByCount "91" @default.
- W2674441608 countsByYear W26744416082017 @default.
- W2674441608 countsByYear W26744416082018 @default.
- W2674441608 countsByYear W26744416082019 @default.
- W2674441608 countsByYear W26744416082020 @default.
- W2674441608 countsByYear W26744416082021 @default.
- W2674441608 countsByYear W26744416082022 @default.
- W2674441608 countsByYear W26744416082023 @default.
- W2674441608 crossrefType "journal-article" @default.
- W2674441608 hasAuthorship W2674441608A5013809874 @default.
- W2674441608 hasAuthorship W2674441608A5015263614 @default.
- W2674441608 hasAuthorship W2674441608A5025926901 @default.
- W2674441608 hasAuthorship W2674441608A5067585214 @default.
- W2674441608 hasAuthorship W2674441608A5081173226 @default.
- W2674441608 hasBestOaLocation W26744416081 @default.
- W2674441608 hasConcept C111368507 @default.
- W2674441608 hasConcept C119857082 @default.
- W2674441608 hasConcept C127313418 @default.
- W2674441608 hasConcept C127413603 @default.
- W2674441608 hasConcept C132651083 @default.
- W2674441608 hasConcept C142724271 @default.
- W2674441608 hasConcept C146978453 @default.
- W2674441608 hasConcept C1549246 @default.
- W2674441608 hasConcept C159390177 @default.
- W2674441608 hasConcept C159750122 @default.