Juliane Huth
Project Scientist
German Aerospace Center (DLR), Earth Observation Center (EOC)
Germany

Biography
Dipl.-Ing. Juliane Huth received her diploma degree in Geodesy and Geoinformatics from the Technical University of Karlsruhe in 2004. She is project scientist at the German Remote Sensing Data Centre of the German Aerospace Centre in the team Land Surface Dynamics. She is involved in project management and applied research in the fields of earth observation for environmental protection, natural resource management, and sustainable development in several international projects. Currently, she is working in BMBF - MOST-CN funded DELIGHT Project (Delta Information System for Geoenvironmental and Human Habitat Transition in the Yellow River Delta, China), as well as in the BMBF ? MOST-VN funded project CATCH-MEKONG (on Upstream Downstream influences in the transboundary Mekong Basin). Besides the applied remote sensing her research interest is in the context of integrated water resources management.

Abstract
The Potential of Earth Observation Time Series for the Analyses of Land Surface Dynamics

Satellite remote sensing is a valuable tool for monitoring of natural and anthropogenic processes on Earth?s surface. Monitoring of dynamics and detection of changes in natural environments such as forests, wetlands, river basins, or coastal regions require the analyses of data over a long period of time. Pressing future research needs will be the generation of climate relevant and long term data analyses to reveal possible decadal changes and trends. In contrast to former limited use nowadays the provision of new satellite sensors by ESA (Sentinels) and the opening of the data archives of NASA (Landsat) assure the cost-free availability of large satellite data time series and provide a comprehensive data basis. The usage of time series information is not limited to specific satellite sensor types or geographic regions anymore. The presentation of current work gives an overview on the performed analyses of long time series for e.g. water and snow coverage globally from medium resolution optical data, as well as related information on product development. Furthermore, processes on the land surface related to forest and land use change using multi-sensor and multi-scale remote sensing time series are presented from several international applied research projects conducted in Europe and Asia. Exemplarily, classification and analyses results for the Yellow River Delta in China, the Mekong Basin, and others are presented. From the user?s perspective information products derived from satellite data time series provide relevant information on dynamic processes on Earth?s surface ? on e.g. wetland degradation, coastline and river course changes, intensification of land use, changes of cropping cycles, deforestation, impacts of climatic events (such as floods and droughts), etc. ? and can support land and water resource management and environmental planning.