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Remote Sensing Time Series

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Cover of 'Remote Sensing Time Series'

Table of Contents

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    Book Overview
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    Chapter 1 Remote Sensing Time Series Revealing Land Surface Dynamics: Status Quo and the Pathway Ahead
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    Chapter 2 Time Series Analyses in a New Era of Optical Satellite Data
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    Chapter 3 Calibration and Pre-processing of a Multi-decadal AVHRR Time Series
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    Chapter 4 Analysis of Snow Cover Time Series – Opportunities and Techniques
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    Chapter 5 Global WaterPack: Intra-annual Assessment of Spatio-Temporal Variability of Inland Water Bodies
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    Chapter 6 Analysing a 13 Years MODIS Land Surface Temperature Time Series in the Mekong Basin
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    Chapter 7 TIMESAT: A Software Package for Time-Series Processing and Assessment of Vegetation Dynamics
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    Chapter 8 Assessment of Vegetation Trends in Drylands from Time Series of Earth Observation Data
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    Chapter 9 Assessing Drivers of Vegetation Changes in Drylands from Time Series of Earth Observation Data
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    Chapter 10 Land Surface Phenology in a West African Savanna: Impact of Land Use, Land Cover and Fire
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    Chapter 11 Assessing Rainfall-EVI Relationships in the Okavango Catchment Employing MODIS Time Series Data and Distributed Lag Models
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    Chapter 12 Land Degradation in South Africa – A Degradation Index Derived from 10 Years of Net Primary Production Data
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    Chapter 13 Investigating Fourteen Years of Net Primary Productivity Based on Remote Sensing Data for China
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    Chapter 14 The Utility of Landsat Data for Global Long Term Terrestrial Monitoring
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    Chapter 15 Forest Cover Dynamics During Massive Ownership Changes – Annual Disturbance Mapping Using Annual Landsat Time-Series
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    Chapter 16 Radar Time Series for Land Cover and Forest Mapping
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    Chapter 17 Investigating Radar Time Series for Hydrological Characterisation in the Lower Mekong Basin
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    Chapter 18 Land Surface Phenology Monitoring with SeaWinds Scatterometer Time Series in Eastern Asia
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    Chapter 19 Monitoring Recent Urban Expansion and Urban Subsidence of Beijing Using ENVISAT/ASAR Time Series Datasets
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    Chapter 20 SAR Time Series for the Analysis of Inundation Patterns in the Yellow River Delta, China
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Title
Remote Sensing Time Series
Published by
Springer International Publishing, January 2015
DOI 10.1007/978-3-319-15967-6
ISBNs
978-3-31-915966-9, 978-3-31-915967-6
Authors

Claudia Kuenzer, Stefan Dech, Wolfgang Wagner

Editors

Kuenzer, Claudia, Dech, Stefan, Wagner, Wolfgang

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 239 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 <1%
Slovakia 1 <1%
Australia 1 <1%
Unknown 236 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 23%
Student > Master 47 20%
Researcher 35 15%
Student > Doctoral Student 17 7%
Student > Bachelor 11 5%
Other 27 11%
Unknown 48 20%
Readers by discipline Count As %
Environmental Science 59 25%
Earth and Planetary Sciences 52 22%
Agricultural and Biological Sciences 32 13%
Computer Science 10 4%
Engineering 10 4%
Other 12 5%
Unknown 64 27%