Porovnat metody

	Prostorově-časová klasifikace dálkového průzkumu Země	Klasifikace dálkového průzkumu Země
Obor	Prostorová analýza	Prostorová analýza
Rodina	Regression model	Regression model
Rok vzniku	1980s-2000s	1970s–present
Tvůrce	Woodcock, Zhu, and remote sensing community	Swain & Davis (1978); Lillesand & Kiefer (classical textbook treatments)
Typ	Multi-temporal image classification	Supervised / unsupervised image classification
Původní zdroj	Zhu, Z. (2017). Change detection using landsat time series: A review of frequencies, preprocessing, algorithms, and applications. ISPRS Journal of Photogrammetry and Remote Sensing, 130, 370-384.	Lillesand, T. M., Kiefer, R. W., & Chipman, J. W. (2015). Remote Sensing and Image Interpretation (7th ed.). Wiley. ISBN: 978-1118343289
Další názvy	multi-temporal remote sensing classification, spatio-temporal image classification, temporal remote sensing analysis, STRSC	land cover classification, image classification, satellite image classification, spectral classification
Příbuzné	4	4
Shrnutí	Space-Time Remote Sensing Classification extends standard image classification to multi-temporal satellite or aerial imagery, enabling analysts to track land cover change, phenological cycles, and environmental dynamics across both space and time. By incorporating the temporal dimension, classifiers achieve higher accuracy and can detect transitions that a single-date analysis would miss.	Remote sensing classification assigns discrete thematic labels — such as forest, urban, water, or cropland — to pixels in a satellite or aerial image based on their spectral, spatial, and temporal properties. It underpins land-use/land-cover mapping, change detection, environmental monitoring, and disaster response at local to global scales.