Towards an automated SAR-based flood monitoring system: Lessons learned from two case studies
By Patrick Matgen, R. Hostache, G. Schumann, Laurent Pfister, Lucien Hoffmann, H. Savenije. 2011
393 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/de4091c210f476d202bc19a9afd7d3ca9a9eb94c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- A. Twele
- W. Cao
- S. Plank
- S. Martinis
Citations in the corpus
- Sentinel-1-based flood mapping: a fully automated processing chain (2016, background): “…has significantly increased over the last years, particularly in the SAR domain (e.g. Martinis, Twele, and Voigt 2009; Pulvirenti et al. 2011; Matgen et al. 2011; Westerhoff et al. 2013; Lu et al. 2014), a certain amount of manual user interaction is commonly required for satellite data…”
- Flood extent mapping for Namibia using change detection and thresholding with SAR (2014, neutral): “…for flood detection include histogram thresholding or clustering (Inglada and Mercier 2007, Martinis et al 2009), radiometric thresholding (Matgen et al 2011), the application of neural networks in a grid system (Kussul et al 2008), fractal dimensioning of multi-temporal images (Huang et…”