Tom Rientjes

<img src="https://people.utwente.nl/t.h.m.rientjes/picture.jpg"&gt;

dr. Tom Rientjes
Department
WRS
https://people.utwente.nl/t.h.m.rientjes
M-GEO
WCC

Machine Learning for Flood mapping and Flood early warning using high-resolution satellite rainfall estimates

Accurate and reliable data is demanded in water, climate and environmental studies but such data cannot be guaranteed in many countries as observation networks have deteriorated.

M-GEO
M-SE
WCC

Blending Regional Climate Model rainfall data and Satellite rainfall estimates for hydrological and water resource applications

Rainfall data series from climate models (i.e.

M-GEO
WCC

Satellite based flood mapping

Synthetic-aperture radar (SAR) data from Sentinel-1 satellites provides unprecedented opportunity to evaluate inter-annual flood characteristics, although consen

M-GEO
M-SE
WCC

Blending Regional Climate Model rainfall data and Satellite rainfall estimates for hydrological and water resource applications.

Rainfall data series from climate models (i.e.

M-GEO
WCC

Satellite rainfall for crop growth modelling

This study aims to assess the applicability of satellite rainfall estimates (SRE) in crop growth modelling by means of the Aquacrop model.

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