id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-23617	Wang, Kun	Land Use Classification Study based on Landsat 8 OLI Time Series Imagery and Support Vector Machine	2024	3	.pdf	application/pdf	2017	76	41	China Abstract: Accurate classification of land use types is of great significance for urban planning and effective utilization of land resources, and although remote sensing data have been successfully used in land use type classification studies, previous studies were mostly based on single-period remote sensing imagery, ignoring the phenological characteristics on vegetation time series. In order to study the effect of time series on the results of land use type classification, Landsat 8 OLI image data of 2017, i.e., January 12th, April 2nd, June 5th, August 24th, September 25th, November 12th and December 14th, 2017, which contain less clouds in the study area, were selected in this study, respectively.	cache/ajst-23617.pdf	txt/ajst-23617.txt