dtwSat: Time-Weighted Dynamic Time Warping for Satellite Image Time Series Analysis in R
Abstract
The opening of large archives of satellite data such as LANDSAT, MODIS and the SENTINELs has given researchers unprecedented access to data, allowing them to better quantify and understand local and global land change. The need to analyze such large data sets has led to the development of automated and semi-automated methods for satellite image time series analysis. However, few of the proposed methods for remote sensing time series analysis are...
Paper Details
Title
dtwSat: Time-Weighted Dynamic Time Warping for Satellite Image Time Series Analysis in R
Published Date
Jan 1, 2019
Volume
88
Issue
5
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