Remote Sensing Time Series

Revealing Land Surface Dynamics
Artikelnummer: 978-3-319-15966-9
Einband: Fester Einband
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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.


EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.

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.


EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
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VerlagSpringer EN
EinbandFester Einband
Erscheinungsjahr2015
Seitenangabe464 S.
AusgabekennzeichenEnglisch
AbbildungenXXIII, 441 p. 197 illus., 153 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
MasseH23.5 cm x B15.5 cm 9'066 g
CoverlagSpringer (Imprint/Brand)
ReiheRemote Sensing and Digital Image Processing
AutorKuenzer, Claudia (Hrsg.) / Dech, Stefan (Hrsg.) / Wagner, Wolfgang (Hrsg.)

Alle Bände der Reihe "Remote Sensing and Digital Image Processing"

Über den Autor Claudia (Hrsg.) Kuenzer

Claudia Kuenzer is Head of the 'Land Surface' Department in the Earth Observation Centre at the German Aerospace Centre (DLR). She has led several research projects on the Mekong region and published numerous journal articles, book chapters, and a book on the Mekong Delta.Patrick Leinenkugel is Vice-Head of the 'Land Surface Dynamics' team in the Earth Observation Centre at the German Aerospace Centre (DLR). He has contributed to multiple research initiatives in the Mekong Basin and has published several remote sensing studies for the region. Stefan Dech is Director of DLR's German Remote Sensing Data Center, and University Professor and holder of the endowed chair in remote sensing in the Department of Geography at Julius Maximilian University, Germany. He has co-authored numerous Mekong-related papers.

Weitere Titel von Claudia (Hrsg.) Kuenzer

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