Matches in SemOpenAlex for { <https://semopenalex.org/work/W2030851497> ?p ?o ?g. }
- W2030851497 endingPage "234" @default.
- W2030851497 startingPage "217" @default.
- W2030851497 abstract "Abstract We developed a new algorithm called Tmask (multiTemporal mask) for automated masking of cloud, cloud shadow, and snow for multitemporal Landsat images. This algorithm consists of two steps. The first step is based on a single-date algorithm called Fmask (Function of mask) that initially screens most of the clouds, cloud shadows, and snow. The second step benefits from the extra temporal information from the remaining “clear” pixels and further improves the cloud, cloud shadow, and snow mask. Three Top Of Atmosphere (TOA) reflectance bands (Bands 2, 4, and 5 — Landsat-7 band numbering) are used in a Robust Iteratively Reweighted Least Squares (RIRLS) method to estimate a time series model for each pixel. By comparing model estimates with Landsat observations for the three spectral bands, the Tmask algorithm is capable of detecting any remaining clouds, cloud shadows, and snow for an entire stack of Landsat images. Generally, this algorithm will not falsely identify land cover changes as clouds, cloud shadows, or snow, as it is capable of modeling land cover change. The multitemporal images also provide extra information for better discrimination of cloud and snow, which is difficult for single-date algorithm. A snow threshold is derived for Band 5 TOA reflectance for each pixel at each specific time based on a modified Norwegian Linear Reflectance-to-Snow-Cover (NLR) algorithm. By comparing the results of Tmask with a single-date algorithm (Fmask) for multitemporal Landsat images located at Path 12 Row 31, significant improvements are observed for identification of clouds, cloud shadows, and snow. The most significant improvement is observed for cloud shadow detection. Many of the errors in cloud, cloud shadow, and snow detection observed in Fmask are corrected by the Tmask algorithm. The goal is development of a cloud, cloud shadow, and snow detection algorithm that results in a multitemporal stack of images that is free of “noise” factors and thus suitable for detection of land cover change." @default.
- W2030851497 created "2016-06-24" @default.
- W2030851497 creator A5006812496 @default.
- W2030851497 creator A5086318321 @default.
- W2030851497 date "2014-09-01" @default.
- W2030851497 modified "2023-10-10" @default.
- W2030851497 title "Automated cloud, cloud shadow, and snow detection in multitemporal Landsat data: An algorithm designed specifically for monitoring land cover change" @default.
- W2030851497 cites W1963949604 @default.
- W2030851497 cites W1979210946 @default.
- W2030851497 cites W1985448288 @default.
- W2030851497 cites W1987882549 @default.
- W2030851497 cites W2001599060 @default.
- W2030851497 cites W2003636035 @default.
- W2030851497 cites W2011721975 @default.
- W2030851497 cites W2028240797 @default.
- W2030851497 cites W2030864384 @default.
- W2030851497 cites W2031961239 @default.
- W2030851497 cites W2040001180 @default.
- W2030851497 cites W2050551672 @default.
- W2030851497 cites W2051058200 @default.
- W2030851497 cites W2055718260 @default.
- W2030851497 cites W2059672595 @default.
- W2030851497 cites W2061063031 @default.
- W2030851497 cites W2066633241 @default.
- W2030851497 cites W2078163022 @default.
- W2030851497 cites W2083577712 @default.
- W2030851497 cites W2086620533 @default.
- W2030851497 cites W2087965082 @default.
- W2030851497 cites W2103039718 @default.
- W2030851497 cites W2105058098 @default.
- W2030851497 cites W2114832532 @default.
- W2030851497 cites W2117472775 @default.
- W2030851497 cites W2117706739 @default.
- W2030851497 cites W2121690928 @default.
- W2030851497 cites W2135266624 @default.
- W2030851497 cites W2137341666 @default.
- W2030851497 cites W2137707174 @default.
- W2030851497 cites W2139568958 @default.
- W2030851497 cites W2149768832 @default.
- W2030851497 cites W2151456308 @default.
- W2030851497 cites W2157675604 @default.
- W2030851497 cites W2159443068 @default.
- W2030851497 cites W2161245744 @default.
- W2030851497 cites W2162416391 @default.
- W2030851497 cites W2164453447 @default.
- W2030851497 cites W2164943663 @default.
- W2030851497 cites W2165383220 @default.
- W2030851497 cites W2166251851 @default.
- W2030851497 doi "https://doi.org/10.1016/j.rse.2014.06.012" @default.
- W2030851497 hasPublicationYear "2014" @default.
- W2030851497 type Work @default.
- W2030851497 sameAs 2030851497 @default.
- W2030851497 citedByCount "339" @default.
- W2030851497 countsByYear W20308514972014 @default.
- W2030851497 countsByYear W20308514972015 @default.
- W2030851497 countsByYear W20308514972016 @default.
- W2030851497 countsByYear W20308514972017 @default.
- W2030851497 countsByYear W20308514972018 @default.
- W2030851497 countsByYear W20308514972019 @default.
- W2030851497 countsByYear W20308514972020 @default.
- W2030851497 countsByYear W20308514972021 @default.
- W2030851497 countsByYear W20308514972022 @default.
- W2030851497 countsByYear W20308514972023 @default.
- W2030851497 crossrefType "journal-article" @default.
- W2030851497 hasAuthorship W2030851497A5006812496 @default.
- W2030851497 hasAuthorship W2030851497A5086318321 @default.
- W2030851497 hasConcept C111919701 @default.
- W2030851497 hasConcept C11413529 @default.
- W2030851497 hasConcept C117797892 @default.
- W2030851497 hasConcept C127313418 @default.
- W2030851497 hasConcept C127413603 @default.
- W2030851497 hasConcept C147176958 @default.
- W2030851497 hasConcept C153294291 @default.
- W2030851497 hasConcept C15744967 @default.
- W2030851497 hasConcept C197046000 @default.
- W2030851497 hasConcept C203595873 @default.
- W2030851497 hasConcept C205649164 @default.
- W2030851497 hasConcept C206887242 @default.
- W2030851497 hasConcept C2780648208 @default.
- W2030851497 hasConcept C2983043445 @default.
- W2030851497 hasConcept C39432304 @default.
- W2030851497 hasConcept C41008148 @default.
- W2030851497 hasConcept C4792198 @default.
- W2030851497 hasConcept C542102704 @default.
- W2030851497 hasConcept C62649853 @default.
- W2030851497 hasConcept C79974875 @default.
- W2030851497 hasConceptScore W2030851497C111919701 @default.
- W2030851497 hasConceptScore W2030851497C11413529 @default.
- W2030851497 hasConceptScore W2030851497C117797892 @default.
- W2030851497 hasConceptScore W2030851497C127313418 @default.
- W2030851497 hasConceptScore W2030851497C127413603 @default.
- W2030851497 hasConceptScore W2030851497C147176958 @default.
- W2030851497 hasConceptScore W2030851497C153294291 @default.
- W2030851497 hasConceptScore W2030851497C15744967 @default.
- W2030851497 hasConceptScore W2030851497C197046000 @default.
- W2030851497 hasConceptScore W2030851497C203595873 @default.
- W2030851497 hasConceptScore W2030851497C205649164 @default.
- W2030851497 hasConceptScore W2030851497C206887242 @default.