
Sustainable Cities and Society, Год журнала: 2023, Номер 101, С. 105116 - 105116
Опубликована: Дек. 16, 2023
Язык: Английский
Sustainable Cities and Society, Год журнала: 2023, Номер 101, С. 105116 - 105116
Опубликована: Дек. 16, 2023
Язык: Английский
International Journal of Applied Earth Observation and Geoinformation, Год журнала: 2021, Номер 103, С. 102514 - 102514
Опубликована: Авг. 29, 2021
Remote Sensing (RS) has been used in urban mapping for a long time; however, the complexity and diversity of functional patterns are difficult to be captured by RS only. Emerging Geospatial Big Data (GBD) considered as supplement data, help contribute our understanding lands from physical aspects (i.e., land cover) socioeconomic use). Integrating GBD could an effective way combine with great potential high-quality use classification. In this study, we reviewed existing literature focused on state-of-the-art perspective categorization integrating GBD. Specifically, commonly features (e.g., spectral, textural, temporal, spatial features) spatial, semantic, sequence were identified analyzed The integration strategies categorized into feature-level (FI) decision-level (DI). To more specific, FI method integrates classifies types using integrated feature sets; DI processes independently then merges classification results based decision rules. We also discussed other critical issues, including analysis unit setting, parcel segmentation, labeling types, data integration. Our findings provide retrospect different GBD, integration, their pros cons, which define framework future better support planning, environment assessment, disaster monitoring traffic analysis.
Язык: Английский
Процитировано
134Building and Environment, Год журнала: 2022, Номер 228, С. 109910 - 109910
Опубликована: Дек. 10, 2022
Язык: Английский
Процитировано
130Sustainable Cities and Society, Год журнала: 2022, Номер 80, С. 103795 - 103795
Опубликована: Фев. 18, 2022
Язык: Английский
Процитировано
84Sustainable Cities and Society, Год журнала: 2023, Номер 96, С. 104663 - 104663
Опубликована: Май 21, 2023
Язык: Английский
Процитировано
65Landscape and Urban Planning, Год журнала: 2023, Номер 239, С. 104842 - 104842
Опубликована: Июль 26, 2023
Язык: Английский
Процитировано
64Sustainable Cities and Society, Год журнала: 2023, Номер 99, С. 104933 - 104933
Опубликована: Сен. 12, 2023
Язык: Английский
Процитировано
63Building and Environment, Год журнала: 2023, Номер 233, С. 110085 - 110085
Опубликована: Фев. 7, 2023
Язык: Английский
Процитировано
58Remote Sensing, Год журнала: 2023, Номер 15(7), С. 1857 - 1857
Опубликована: Март 30, 2023
Satellite-derived Land Surface Temperature (LST) dynamics have been increasingly used to study various geophysical processes. This review provides an extensive overview of the applications LST in context global change. By filtering a selection relevant keywords, total 164 articles from 14 international journals published during last two decades were analyzed based on location, research topic, applied sensor, spatio-temporal resolution and scale employed analysis methods. It was revealed that China USA most studied countries those had first author affiliations. The prominent topic Urban Heat Island (SUHI), while topics related climate change underrepresented. MODIS by far sensor system, followed Landsat. A relatively small number studies or continental scale. use highly determined periods: majority started around year 2000 thus period shorter than 25 years. following suggestions made increase utilization time series research: prolongation by, e.g., using AVHRR LST, better representation under clouds, comparison traditional measures, such as air temperature reanalysis variables, extension validation heterogenous sites.
Язык: Английский
Процитировано
56Building and Environment, Год журнала: 2022, Номер 222, С. 109441 - 109441
Опубликована: Июль 31, 2022
Язык: Английский
Процитировано
71Sustainable Cities and Society, Год журнала: 2022, Номер 87, С. 104062 - 104062
Опубликована: Июль 16, 2022
Язык: Английский
Процитировано
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