FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2797972929> ?p ?o ?g. }

• W2797972929 endingPage "455" @default.
• W2797972929 startingPage "455" @default.
• W2797972929 abstract "Due to recent global climate change, glacial lake outburst floods (GLOFs) have become a serious problem in many high mountain areas. Accurately and rapidly mapping glacial lakes is the basis of other glacial lake studies that are associated with water resources management, flood hazard assessment, and climate change. Most glacial lake detection studies have mainly used medium to coarse resolution images, whose application is limited to large lakes. Because small glacial lakes are abundant and because changes in these lakes are small and occur around the lake shores, fine-resolution satellite imagery is required for adequate assessments. In addition, the existing detection methods are mainly based on simply applying a threshold on various normalized difference water indices (NDWIs); this cannot give appropriate results for glacial lakes that have a wide range of turbidity, mineral, and chlorophyll content. In the present study, we propose a region-dependent framework to overcome the spectral heterogeneity of glacial lake areas using a nonlocal active contour model that is integrated with the NDWI. As the first trial, the glacial lakes were detected using high-resolution GaoFen-2 multispectral imagery in the test site of Altai Mountains (northern Xinjiang Province). The validation of the results was carried out using the manually digitized lake boundaries. The average probabilities of false positives P F P and false negatives P F N were found to be 0.0106 and 0.0039, respectively. After taking into consideration the spectral features of the water and making slight NDWI threshold adjustments, this method can also be used for lake detection in any glaciated environment elsewhere in the world." @default.
• W2797972929 created "2018-04-24" @default.
• W2797972929 creator A5042379417 @default.
• W2797972929 creator A5053307621 @default.
• W2797972929 creator A5087388122 @default.
• W2797972929 date "2018-04-10" @default.
• W2797972929 modified "2023-10-16" @default.
• W2797972929 title "Glacial Lake Detection from GaoFen-2 Multispectral Imagery Using an Integrated Nonlocal Active Contour Approach: A Case Study of the Altai Mountains, Northern Xinjiang Province" @default.
• W2797972929 cites W1145502669 @default.
• W2797972929 cites W1544860600 @default.
• W2797972929 cites W1585124514 @default.
• W2797972929 cites W1882187602 @default.
• W2797972929 cites W1951160674 @default.
• W2797972929 cites W1961672453 @default.
• W2797972929 cites W1966980409 @default.
• W2797972929 cites W1981878534 @default.
• W2797972929 cites W1982526103 @default.
• W2797972929 cites W1984576625 @default.
• W2797972929 cites W1989038088 @default.
• W2797972929 cites W1990269578 @default.
• W2797972929 cites W1992736409 @default.
• W2797972929 cites W1995581599 @default.
• W2797972929 cites W2004459073 @default.
• W2797972929 cites W2006919898 @default.
• W2797972929 cites W2027319213 @default.
• W2797972929 cites W2038110440 @default.
• W2797972929 cites W2065785581 @default.
• W2797972929 cites W2077509829 @default.
• W2797972929 cites W2080455819 @default.
• W2797972929 cites W2081153373 @default.
• W2797972929 cites W2085491532 @default.
• W2797972929 cites W2088840575 @default.
• W2797972929 cites W2094801462 @default.
• W2797972929 cites W2101678239 @default.
• W2797972929 cites W2115535975 @default.
• W2797972929 cites W2115664739 @default.
• W2797972929 cites W2143523928 @default.
• W2797972929 cites W2153241212 @default.
• W2797972929 cites W2164816089 @default.
• W2797972929 cites W2173027301 @default.
• W2797972929 cites W2187402122 @default.
• W2797972929 cites W2234850500 @default.
• W2797972929 cites W2237190528 @default.
• W2797972929 cites W2290116760 @default.
• W2797972929 cites W2323101854 @default.
• W2797972929 cites W2345393156 @default.
• W2797972929 cites W2429991416 @default.
• W2797972929 cites W2460430699 @default.
• W2797972929 cites W2464532968 @default.
• W2797972929 cites W2476778668 @default.
• W2797972929 cites W2557132287 @default.
• W2797972929 cites W2560167313 @default.
• W2797972929 cites W2572880884 @default.
• W2797972929 cites W2590081250 @default.
• W2797972929 cites W2591232542 @default.
• W2797972929 cites W2622632592 @default.
• W2797972929 cites W2681594384 @default.
• W2797972929 cites W2751880392 @default.
• W2797972929 cites W2767405965 @default.
• W2797972929 cites W2767552424 @default.
• W2797972929 cites W2768192011 @default.
• W2797972929 cites W2782214695 @default.
• W2797972929 cites W2782264836 @default.
• W2797972929 cites W66352275 @default.
• W2797972929 cites W849151565 @default.
• W2797972929 doi "https://doi.org/10.3390/w10040455" @default.
• W2797972929 hasPublicationYear "2018" @default.
• W2797972929 type Work @default.
• W2797972929 sameAs 2797972929 @default.
• W2797972929 citedByCount "8" @default.
• W2797972929 countsByYear W27979729292019 @default.
• W2797972929 countsByYear W27979729292020 @default.
• W2797972929 countsByYear W27979729292021 @default.
• W2797972929 countsByYear W27979729292023 @default.
• W2797972929 crossrefType "journal-article" @default.
• W2797972929 hasAuthorship W2797972929A5042379417 @default.
• W2797972929 hasAuthorship W2797972929A5053307621 @default.
• W2797972929 hasAuthorship W2797972929A5087388122 @default.
• W2797972929 hasBestOaLocation W27979729291 @default.
• W2797972929 hasConcept C100970517 @default.
• W2797972929 hasConcept C111368507 @default.
• W2797972929 hasConcept C114793014 @default.
• W2797972929 hasConcept C127313418 @default.
• W2797972929 hasConcept C132651083 @default.
• W2797972929 hasConcept C152382732 @default.
• W2797972929 hasConcept C15739521 @default.
• W2797972929 hasConcept C173163844 @default.
• W2797972929 hasConcept C205649164 @default.
• W2797972929 hasConcept C2778102629 @default.
• W2797972929 hasConcept C2778845824 @default.
• W2797972929 hasConcept C39432304 @default.
• W2797972929 hasConcept C62649853 @default.
• W2797972929 hasConceptScore W2797972929C100970517 @default.
• W2797972929 hasConceptScore W2797972929C111368507 @default.
• W2797972929 hasConceptScore W2797972929C114793014 @default.
• W2797972929 hasConceptScore W2797972929C127313418 @default.
• W2797972929 hasConceptScore W2797972929C132651083 @default.
• W2797972929 hasConceptScore W2797972929C152382732 @default.

• next