Remote Sensing Time Series: Revealing Land Surface Dynamics

✍ Scribed by Claudia Kuenzer, Stefan Dech, Wolfgang Wagner (eds.)

• Publisher: Springer International Publishing
• Year: 2015
• Tongue: English
• Leaves: 458
• Series: Remote Sensing and Digital Image Processing 22
• Edition: 1
• Category: Library

✦ Synopsis

This volume comprises an outstanding variety of chapters on Earth Observation based time series analyses, undertaken to reveal past and current land surface dynamics for large areas. What exactly are time series of Earth Observation data? Which sensors are available to generate real time series? How can they be processed to reveal their valuable hidden information? Which challenges are encountered on the way and which pre-processing is needed? And last but not least: which processes can be observed? How are large regions of our planet changing over time and which dynamics and trends are visible? These and many other questions are answered within this book “Remote Sensing Time Series Analyses – Revealing Land Surface Dynamics”. Internationally renowned experts from Europe, the USA and China present their exciting findings based on the exploitation of satellite data archives from well-known sensors such as AVHRR, MODIS, Landsat, ENVISAT, ERS and METOP amongst others. Selected review and methods chapters provide a good overview over time series processing and the recent advances in the optical and radar domain. A fine selection of application chapters addresses multi-class land cover and land use change at national to continental scale, the derivation of patterns of vegetation phenology, biomass assessments, investigations on snow cover duration and recent dynamics, as well as urban sprawl observed over time.

✦ Table of Contents

Front Matter....Pages i-xxiii
Remote Sensing Time Series Revealing Land Surface Dynamics: Status Quo and the Pathway Ahead....Pages 1-24
Time Series Analyses in a New Era of Optical Satellite Data....Pages 25-41
Calibration and Pre-processing of a Multi-decadal AVHRR Time Series....Pages 43-74
Analysis of Snow Cover Time Series – Opportunities and Techniques....Pages 75-98
Global WaterPack: Intra-annual Assessment of Spatio-Temporal Variability of Inland Water Bodies....Pages 99-117
Analysing a 13 Years MODIS Land Surface Temperature Time Series in the Mekong Basin....Pages 119-140
TIMESAT: A Software Package for Time-Series Processing and Assessment of Vegetation Dynamics....Pages 141-158
Assessment of Vegetation Trends in Drylands from Time Series of Earth Observation Data....Pages 159-182
Assessing Drivers of Vegetation Changes in Drylands from Time Series of Earth Observation Data....Pages 183-202
Land Surface Phenology in a West African Savanna: Impact of Land Use, Land Cover and Fire....Pages 203-223
Assessing Rainfall-EVI Relationships in the Okavango Catchment Employing MODIS Time Series Data and Distributed Lag Models....Pages 225-245
Land Degradation in South Africa – A Degradation Index Derived from 10 Years of Net Primary Production Data....Pages 247-267
Investigating Fourteen Years of Net Primary Productivity Based on Remote Sensing Data for China....Pages 269-288
The Utility of Landsat Data for Global Long Term Terrestrial Monitoring....Pages 289-305
Forest Cover Dynamics During Massive Ownership Changes – Annual Disturbance Mapping Using Annual Landsat Time-Series....Pages 307-322
Radar Time Series for Land Cover and Forest Mapping....Pages 323-356
Investigating Radar Time Series for Hydrological Characterisation in the Lower Mekong Basin....Pages 357-381
Land Surface Phenology Monitoring with SeaWinds Scatterometer Time Series in Eastern Asia....Pages 383-400
Monitoring Recent Urban Expansion and Urban Subsidence of Beijing Using ENVISAT/ASAR Time Series Datasets....Pages 401-426
SAR Time Series for the Analysis of Inundation Patterns in the Yellow River Delta, China....Pages 427-441

✦ Subjects

Remote Sensing/Photogrammetry; Environmental Monitoring/Analysis; Physical Geography