A Multi-Scale Flood Monitoring System Based on Fully Automatic MODIS and TerraSAR-X Processing Chains

A two-component fully automated flood monitoring system is described and evaluated. This is a result of combining two individual flood services that are currently under development at DLR’s (German Aerospace Center) Center for Satellite based Crisis Information (ZKI) to rapidly support disaster management activities. A first-phase monitoring component of the system systematically detects potential flood events on a continental scale using daily-acquired medium spatial resolution optical data from the Moderate Resolution Imaging Spectroradiometer (MODIS). A threshold set controls the activation of the second-phase crisis component of the system, which derives flood information at higher spatial detail using a Synthetic Aperture Radar (SAR) based satellite mission (TerraSAR-X). The proposed activation procedure finds use in the identification of flood situations in different spatial resolutions and in the time-critical and on demand programming of SAR satellite acquisitions at an early stage of an evolving flood situation. The automated processing chains of the MODIS (MFS) and the TerraSAR-X Flood Service (TFS) include data pre-processing, the computation and adaptation of global auxiliary data, thematic classification, and the subsequent dissemination of flood maps using an interactive web-client. The system is operationally demonstrated and evaluated via the monitoring two recent flood events in Russia 2013 and Albania/Montenegro 2013.

[1]  Beta Naught,et al.  Radiometric Calibration of TerraSAR-X Data , 2014 .

[2]  Sandro Martinis,et al.  A Hierarchical Spatio-Temporal Markov Model for Improved Flood Mapping Using Multi-Temporal X-Band SAR Data , 2010, Remote. Sens..

[3]  Xinwu Li,et al.  Varying Scale and Capability of Envisat ASAR-WSM, TerraSAR-X Scansar and TerraSAR-X Stripmap Data to Assess Urban Flood Situations: A Case Study of the Mekong Delta in Can Tho Province , 2013, Remote. Sens..

[4]  A. Islam,et al.  Flood inundation map of Bangladesh using MODIS time‐series images , 2010 .

[5]  Hanno Scharr,et al.  Principles of Filter Design , 1999 .

[6]  John R. Townshend,et al.  A new global raster water mask at 250 m resolution , 2009, Int. J. Digit. Earth.

[7]  Yi Luo,et al.  Developing clear-sky, cloud and cloud shadow mask for producing clear-sky composites at 250-meter spatial resolution for the seven MODIS land bands over Canada and North America , 2008 .

[8]  H. Winsemius,et al.  Automated global water mapping based on wide-swath orbital synthetic-aperture radar , 2012 .

[9]  Sandro Martinis,et al.  A fully automated TerraSAR-X based flood service , 2015 .

[10]  Claire L. Parkinson,et al.  EOS Data Products Handbook. Volume 2 , 2000 .

[11]  Reza Jafari,et al.  Arid land characterisation with EO-1 Hyperion hyperspectral data , 2012, Int. J. Appl. Earth Obs. Geoinformation.

[12]  Paul D. Bates,et al.  Near real‐time flood wave approximation on large rivers from space: Application to the River Po, Italy , 2010 .

[13]  Sandro Martinis,et al.  Towards operational near real-time flood detection using a split-based automatic thresholding procedure on high resolution TerraSAR-X data , 2009 .

[14]  Claire L. Parkinson,et al.  EOS Data Products Handbook , 2013 .

[15]  T. Sakamoto,et al.  Detecting temporal changes in the extent of annual flooding within the cambodia and the vietnamese mekong delta from MODIS time-series imagery , 2007 .

[16]  Yunyue Yu,et al.  Automatic cloud-shadow removal from flood/standing water maps using MSG/SEVIRI imagery , 2013 .

[17]  Bryan A. Franz,et al.  The SeaDAS Processing and Analysis System: SeaWiFS, MODIS, and Beyond , 2005 .

[18]  A. Huete,et al.  A comparison of vegetation indices over a global set of TM images for EOS-MODIS , 1997 .

[19]  K. Shadan,et al.  Available online: , 2012 .

[20]  Rui Zhang,et al.  A stepwise cloud shadow detection approach combining geometry determination and SVM classification for MODIS data , 2013 .

[21]  K. Beven,et al.  A physically based, variable contributing area model of basin hydrology , 1979 .

[22]  Jonas Eberle,et al.  WEB-BASED GEOPROCESSING AND WORKFLOW CREATION FOR GENERATING AND PROVIDING REMOTE SENSING PRODUCTS , 2012 .

[23]  Patrick Matgen,et al.  Towards an automated SAR-based flood monitoring system: Lessons learned from two case studies , 2011 .

[24]  S. Lippman,et al.  The Scripps Institution of Oceanography , 1959, Nature.

[25]  Robert L. Grossman,et al.  Use of the Earth Observing One (EO-1) Satellite for the Namibia SensorWeb Flood Early Warning Pilot , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[26]  Thomas J. Kopp,et al.  A Geometry-Based Approach to Identifying Cloud Shadows in the VIIRS Cloud Mask Algorithm for NPOESS , 2009 .

[27]  Anna Wendleder,et al.  TanDEM-X Water Indication Mask: Generation and First Evaluation Results , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[28]  Paul D. Bates,et al.  Near Real-Time Flood Detection in Urban and Rural Areas Using High-Resolution Synthetic Aperture Radar Images , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[29]  Josef Kittler,et al.  Minimum error thresholding , 1986, Pattern Recognit..

[30]  Frank S. Marzano,et al.  Detection of floods and heavy rain using Cosmo-SkyMed data: The event in Northwestern Italy of November 2011 , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

[31]  J. V. Soares,et al.  HAND, a new terrain descriptor using SRTM-DEM: Mapping terra-firme rainforest environments in Amazonia , 2008 .

[32]  James J. Simpson,et al.  Cloud shadow detection under arbitrary viewing and illumination conditions , 2000, IEEE Trans. Geosci. Remote. Sens..

[33]  Nazzareno Pierdicca,et al.  An algorithm for operational flood mapping from Synthetic Aperture Radar (SAR) data using fuzzy logic , 2011 .

[34]  A. Huete,et al.  Overview of the radiometric and biophysical performance of the MODIS vegetation indices , 2002 .

[35]  Bin Zhao,et al.  Detecting the spatiotemporal changes of tidal flood in the estuarine wetland by using MODIS time series data. , 2010 .

[36]  Chao Yang,et al.  Flood detection and mapping of the Thailand Central plain using RADARSAT and MODIS under a sensor web environment , 2012, Int. J. Appl. Earth Obs. Geoinformation.

[37]  Paul D. Bates,et al.  A Change Detection Approach to Flood Mapping in Urban Areas Using TerraSAR-X , 2013, IEEE Transactions on Geoscience and Remote Sensing.