Record Display for the EPA National Library Catalog

RECORD NUMBER: 14 OF 24

Main Title Remote sensing time series image processing /
Type EBOOK
Other Authors
Author Title of a Work
Weng, Qihao,
Publisher Taylor & Francis,
Year Published 2018
Call Number G70.4.R476 2018
ISBN 9781315166636; 9781351680554
Subjects Earth sciences--Remote sensing ; Land use--Remote sensing ; Remote sensing images--Data processing ; Time-series analysis
Internet Access
Description Access URL
https://www.taylorfrancis.com/books/9781315166636
Collation 1 online resource (xxi, 231 pages)
Notes
Due to license restrictions, this resource is available to EPA employees and authorized contractors only
Contents Notes
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 Bechtel and Panagiotis Sismanidis -- Impervious surface estimation by integrated use of landsat and modis time series in Wuhan, China / Lei Zhang 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 producing 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.