{"id":"W2735042947","doi":"10.1016/j.isprsjprs.2017.06.013","title":"Change detection using landsat time series: A review of frequencies, preprocessing, algorithms, and applications","year":2017,"lang":"en","type":"review","venue":"ISPRS Journal of Photogrammetry and Remote Sensing","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":843,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Wageningen University and Research; U.S. Geological Survey; University of British Columbia","keywords":"Change detection; Computer science; Algorithm; Thresholding; Preprocessor; Pixel; Series (stratigraphy); Univariate; Artificial intelligence; Time series; Remote sensing; Segmentation; Multivariate statistics; Image (mathematics); Machine learning; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null}