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Investigating Radar Time Series for Hydrological Characterisation in the Lower Mekong Basin

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Remote Sensing Time Series

Part of the book series: Remote Sensing and Digital Image Processing ((RDIP,volume 22))

Abstract

Radar remote sensing is beneficial for retrieval of hydrological information such as soil moisture and flood extents due to the strong influence of water on the radar signal. The proper monitoring and analysis of such temporally dynamic phenomena requires dense time series data. Radar time series data is also useful for mitigating uncertainties in individual images, e.g. for the mapping of permanent water bodies. This chapter reviews capabilities, potentials and challenges of spaceborne radar time series data for the mapping of permanent water bodies, the monitoring of floods, and the retrieval of soil moisture content. The focus is put on the Lower Mekong Basin (LMB) in Southeast Asia. Two thirds of the LMB’s population of 60 million people live directly from agriculture and fisheries. The Mekong River's resources are under pressure among others from an increasing population, intensified agriculture, and the expansion of hydropower. A thorough understanding of water resources in the LMB is therefore crucial to the sustainable development in the region. The chapter provides an outline of radar remote sensing for retrieval of hydrological information as well as an overview of the relevant operational capabilities of radar missions. A map of permanent water bodies of the entire Lower Mekong Basin derived from a time series of ENVISAT Advanced Synthetic Aperture Radar (ASAR) data is presented. Potentials and challenges of flood monitoring with SAR are illustrated with ASAR imagery showing the evolution of the floods that occurred around Tonle Sap Lake in Cambodia in 2011. Finally, the spatial and temporal dynamics of soil moisture across the LMB are analysed with the use of 14 years of scatterometer time series data acquired by the ERS-1, ERS-2, Metop-A and Metop-B satellites. The average seasonal soil moisture cycle was computed at the sub-catchment level. An anomaly analysis of the temporal soil moisture dynamics revealed large inter-annual variability across the Lower Mekong Basin.

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Acknowledgements

The work presented in this chapter was partially funded by the WISDOM project (Water related Information Management System for the Sustainable Development of the Mekong Delta), funded by the German Ministry of Education and Research, BMBF. ENVISAT ASAR data were provided by European Space Agency.

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Authors and Affiliations

  1. Department of Geodesy and Geoinformation, Vienna University of Technology, Vienna, Austria

    Daniel Sabel, Vahid Naeimi & Wolfgang Wagner

  2. European Academy of Bozen/Bolzano, EURAC, Bolzano-Bozen, Italy

    Felix Greifeneder

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  1. Daniel Sabel
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  2. Vahid Naeimi
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  3. Felix Greifeneder
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  4. Wolfgang Wagner
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Correspondence to Daniel Sabel .

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Editors and Affiliations

  1. German Remote Sensing Data Center, DFD, German Aerospace Center, DLR, Wessling, Germany

    Claudia Kuenzer

  2. German Remote Sensing Data Center, DFD, German Aerospace Center, DLR, Wessling, Germany

    Stefan Dech

  3. Department of Geodesy and Geoinformation, Vienna University of Technology, Vienna, Austria

    Wolfgang Wagner

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Sabel, D., Naeimi, V., Greifeneder, F., Wagner, W. (2015). Investigating Radar Time Series for Hydrological Characterisation in the Lower Mekong Basin. In: Kuenzer, C., Dech, S., Wagner, W. (eds) Remote Sensing Time Series. Remote Sensing and Digital Image Processing, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-319-15967-6_17

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