Title: Monitoring African Surface Water Dynamic Using Medium Resolution Daily Data Allows Anomalies Detection in Nearly Real Time
Authors: D'ANDRIMONT RaphaelPEKEL JEAN-FRANÇOISDEFOURNY Pierre
Citation: 2011 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp) p. 241-244
Publisher: IEEE
Publication Year: 2011
JRC Publication N°: JRC66806
URI: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6005093&tag=1
http://publications.jrc.ec.europa.eu/repository/handle/JRC66806
DOI: 10.1109/Multi-Temp.2011.6005093
Type: Contributions to Conferences
Abstract: This paper proposes to use a water detection methodology based on a colorimetric approach to develop a near real time system allowing to monitor and to detect anomalies at a fine time resolution and in a systematic way The algorithm was calibrated over Africa using daily reflectance MODIS data from 2003 to 2011. The proposed approach has 3 major outputs updatable in near real time: (1) a permanent water mask (2) a every 10-days surface water map consolidated with time series and (3) an anomalies detection using 10 years of detection reanalysis. Three validation approaches are developed to deal with the large coverage and the high temporal resolution. The methodology is generic and could be applied to other extent and sensors.
JRC Institute:Institute for Environment and Sustainability

Files in This Item:
There are no files associated with this item.


Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.