| 来源类型 | Article |
| 规范类型 | 其他 |
| dtwSat: Time-Weighted Dynamic Time Warping for Satellite Image Time Series Analysis in R. | |
| Camara G; Appel M; Pebesma E | |
| 发表日期 | 2019 |
| 出处 | Journal of Statistical Software 88 (5) |
| 出版年 | 2019 |
| 语种 | 英语 |
| 摘要 | 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 analyse such large data sets has lead to the development of automated and semi-automated methods for satellite image time series analysis. However, few of the proposed methods for re mote sensing time series analysis are available as open source software. In this paper we present the R package dtwSat . This package provides an implementation of the Time-Weighted Dynamic Time Warping method for land cover mapping using sequence of multi-band satellite images. Methods based on dynamic time warping are flexible to handle irregular sampling and out-of-phase time series, and they have achieved significant result s in time series analysis. dtwSat is available from the Comprehensive R Archive Network and contributes to making methods for satellite time series analysis available to a larger audience. The package supports the full cycle of land cover classification using image time series, ranging from selecting temporal patterns to visualising and assessing the results. |
| 主题 | Ecosystems Services and Management (ESM) |
| 关键词 | dynamic programming, MODIS time series, land cover changes, crop monitoring |
| URL | http://pure.iiasa.ac.at/id/eprint/14513/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/131578 |
| 推荐引用方式 GB/T 7714 | Camara G,Appel M,Pebesma E. dtwSat: Time-Weighted Dynamic Time Warping for Satellite Image Time Series Analysis in R.. 2019. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| applying_twdtw.pdf（457KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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