FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386133746> ?p ?o ?g. }

• W4386133746 endingPage "113764" @default.
• W4386133746 startingPage "113764" @default.
• W4386133746 abstract "While previous urban delineation studies have been based mainly on Defense Meteorological Satellite Program (DMSP) and Visible Infrared Imaging Radiometer Suite (VIIRS) nighttime light (NTL) data at a 1-km or 500-m spatial resolution, the higher 10-m-spatial-resolution Sustainable Development Science Satellite-1 (SDGSAT-1) NTL data offer the possibility of sophisticated village-scale analysis. In this study, we developed the quantile method with downward heuristic rules for built-up delineation based on SDGSAT-1 NTL data and proposed a new threshold method, named the trend method framework, for urban dynamic delineation in combination with SDGSAT-1 NTL data and DMSP-VIIRS NTL data. Then, the methods developed in this study were applied to five urban agglomerations (the Beijing-Tianjin-Hebei Urban Agglomeration (BTH), Yangtze River Delta (YRD), Guangdong–Hong Kong–Macao Greater Bay Area (GHM), Chengdu–Chongqing Economic Circle (CCC), and Hainan Free Trade Port (HTP)) in China. The results showed that both the downward quantile method and the trend method can be used to delineate village-scale built-up areas. In the delineation of built-up areas based on SDGSAT-1 NTL data, the trend method provides clearer information on the built-up areas within lighted areas, leading to higher accuracy than the downward quantile method. In the built-up area delineation based on DMSP and VIIRS NTL data at 1-km resolution, the trend method combines SDGSAT-1 NTL data and accounts for information on time-series changes in urbanization, thus allowing for the more accurate extraction of built-up areas. In 2020, the trend method had higher delineation accuracies than the quantile method, with effectiveness accuracies (EAs) of 0.91, 0.77, 0.67, 0.94, and 0.65 for the YRD, BTH, CCC, GHM, and HTP, respectively, compared with the European Space Agency (ESA) land use and land cover (LULC) product. The trend method has very good application prospects for delineating built-up areas using the high-resolution SDGSAT-1 NTL dataset." @default.
• W4386133746 created "2023-08-25" @default.
• W4386133746 creator A5026606987 @default.
• W4386133746 creator A5043839950 @default.
• W4386133746 creator A5051364953 @default.
• W4386133746 creator A5066388959 @default.
• W4386133746 creator A5072519607 @default.
• W4386133746 date "2023-11-01" @default.
• W4386133746 modified "2023-10-18" @default.
• W4386133746 title "SDGSAT-1 nighttime light data improve village-scale built-up delineation" @default.
• W4386133746 cites W1517984787 @default.
• W4386133746 cites W1977091958 @default.
• W4386133746 cites W1983564473 @default.
• W4386133746 cites W1991657696 @default.
• W4386133746 cites W1991995284 @default.
• W4386133746 cites W1998657866 @default.
• W4386133746 cites W2001075407 @default.
• W4386133746 cites W2004126227 @default.
• W4386133746 cites W2009015294 @default.
• W4386133746 cites W2010989045 @default.
• W4386133746 cites W2066131315 @default.
• W4386133746 cites W2083863337 @default.
• W4386133746 cites W2086519645 @default.
• W4386133746 cites W2091793895 @default.
• W4386133746 cites W2102566458 @default.
• W4386133746 cites W2137043027 @default.
• W4386133746 cites W2156066376 @default.
• W4386133746 cites W2444162119 @default.
• W4386133746 cites W2572257651 @default.
• W4386133746 cites W2591877092 @default.
• W4386133746 cites W2596128158 @default.
• W4386133746 cites W2657935361 @default.
• W4386133746 cites W2777810787 @default.
• W4386133746 cites W2783305840 @default.
• W4386133746 cites W2793327769 @default.
• W4386133746 cites W2897403937 @default.
• W4386133746 cites W2898070142 @default.
• W4386133746 cites W2920843826 @default.
• W4386133746 cites W2922036939 @default.
• W4386133746 cites W2943287822 @default.
• W4386133746 cites W2963623633 @default.
• W4386133746 cites W2965372358 @default.
• W4386133746 cites W2969571546 @default.
• W4386133746 cites W2983489208 @default.
• W4386133746 cites W3033973892 @default.
• W4386133746 cites W3043543431 @default.
• W4386133746 cites W3127543315 @default.
• W4386133746 cites W3210940126 @default.
• W4386133746 cites W4210247204 @default.
• W4386133746 cites W4210602961 @default.
• W4386133746 cites W4220692839 @default.
• W4386133746 cites W4226337984 @default.
• W4386133746 cites W4283067553 @default.
• W4386133746 cites W4353050248 @default.
• W4386133746 cites W4362637732 @default.
• W4386133746 cites W4381550055 @default.
• W4386133746 cites W639537632 @default.
• W4386133746 doi "https://doi.org/10.1016/j.rse.2023.113764" @default.
• W4386133746 hasPublicationYear "2023" @default.
• W4386133746 type Work @default.
• W4386133746 citedByCount "2" @default.
• W4386133746 countsByYear W43861337462023 @default.
• W4386133746 crossrefType "journal-article" @default.
• W4386133746 hasAuthorship W4386133746A5026606987 @default.
• W4386133746 hasAuthorship W4386133746A5043839950 @default.
• W4386133746 hasAuthorship W4386133746A5051364953 @default.
• W4386133746 hasAuthorship W4386133746A5066388959 @default.
• W4386133746 hasAuthorship W4386133746A5072519607 @default.
• W4386133746 hasConcept C118671147 @default.
• W4386133746 hasConcept C127413603 @default.
• W4386133746 hasConcept C146978453 @default.
• W4386133746 hasConcept C149782125 @default.
• W4386133746 hasConcept C153294291 @default.
• W4386133746 hasConcept C154611951 @default.
• W4386133746 hasConcept C162324750 @default.
• W4386133746 hasConcept C166957645 @default.
• W4386133746 hasConcept C19269812 @default.
• W4386133746 hasConcept C205649164 @default.
• W4386133746 hasConcept C2777480484 @default.
• W4386133746 hasConcept C2777701342 @default.
• W4386133746 hasConcept C2778751583 @default.
• W4386133746 hasConcept C2778755073 @default.
• W4386133746 hasConcept C39432304 @default.
• W4386133746 hasConcept C39853841 @default.
• W4386133746 hasConcept C50522688 @default.
• W4386133746 hasConcept C58640448 @default.
• W4386133746 hasConcept C62649853 @default.
• W4386133746 hasConceptScore W4386133746C118671147 @default.
• W4386133746 hasConceptScore W4386133746C127413603 @default.
• W4386133746 hasConceptScore W4386133746C146978453 @default.
• W4386133746 hasConceptScore W4386133746C149782125 @default.
• W4386133746 hasConceptScore W4386133746C153294291 @default.
• W4386133746 hasConceptScore W4386133746C154611951 @default.
• W4386133746 hasConceptScore W4386133746C162324750 @default.
• W4386133746 hasConceptScore W4386133746C166957645 @default.
• W4386133746 hasConceptScore W4386133746C19269812 @default.
• W4386133746 hasConceptScore W4386133746C205649164 @default.
• W4386133746 hasConceptScore W4386133746C2777480484 @default.

• next