Remote sensing time series image processing /
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| Imprint: | Boca Raton, FL : CRC Press, [2018] ©2018 |
|---|---|
| Description: | 1 online resource ( xxi, 231 pages) |
| Language: | English |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11865161 |
Table of Contents:
- Cloud and cloud shadow detection for Landsat Images: the fundamental basis for analyzing Landsat time series / Zhe Zhu, Shi Qiu, Binbin He, and Chengbin Deng
- An automatic system for reconstructing high-quality seasonal Landsat time series / Xiaolin Zhu, Eileen H. Helmer, Jin Chen, and Desheng Liu
- Spatiotemporal data fusion to generate synthetic high spatial and temporal resolution satellite images / Jin Chen, Yuhan Rao, and Xiaolin Zhu
- Phenological inference from times series remote sensing data / Iryna Dronova and Lu Liang
- Time series analysis of moderate resolution land surface temperatures / Benjamin Cechtel and Panagiotis Sismanidis
- Impervious surface estimation by integrated use of Landsat and MODIS time series in Wuhan, China / Zhang Lei and Qihao Weng
- Mapping land cover trajectories using monthly MODIS time series from 2001 to 2010 / Shanshan Cai and Desheng Liu
- Creating a robust reference dataset for large area time series disturbance classification / Mariela Soto-Berelov, Andrew Haywood, Simon Jones, Samuel Hislop, and Trung H. Nguyen
- A general workflow for mapping forest disturbance history using pixel based time series analysis / Feng Zhao and Chengquan Huang
- Monitoring annual vegetated land loss to urbanization with Landsat archive: a case study in Shanghai, China / Qingling Zhang and Bhartendu Pandey.
