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Oscar M. Baez-Villanueva

Researcher at Technical University of Dortmund

Publications -  14
Citations -  393

Oscar M. Baez-Villanueva is an academic researcher from Technical University of Dortmund. The author has contributed to research in topics: Precipitation & Environmental science. The author has an hindex of 5, co-authored 10 publications receiving 185 citations. Previous affiliations of Oscar M. Baez-Villanueva include Cologne University of Applied Sciences & ITT Technical Institute.

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RF-MEP: A novel random forest method for merging gridded precipitation products and ground-based measurements

TL;DR: The Random Forest based MErging Procedure (RF-MEP), which combines information from ground-based measurements, state-of-the-art precipitation products, and topography-related features to improve the representation of the spatio-temporal distribution of precipitation, is presented, especially in data-scarce regions.
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Temporal and spatial evaluation of satellite rainfall estimates over different regions in Latin-America

TL;DR: In this paper, six state-of-the-art satellite-based rainfall estimates (SREs) are evaluated over three different basins in Latin-America, using a point-to-pixel comparison at daily, monthly, and seasonal timescales.
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Harmonization of Landsat and Sentinel 2 for Crop Monitoring in Drought Prone Areas: Case Studies of Ninh Thuan (Vietnam) and Bekaa (Lebanon)

TL;DR: In this paper, a robust stream processing for the harmonization of Landsat 7, Landsat 8 and Sentinel 2 in the Google Earth Engine cloud platform was developed, connecting the benefit of coherent data structure, built-in functions and computational power in Google Cloud.
Posted ContentDOI

On the selection of precipitation products for the regionalisation of hydrological model parameters

TL;DR: In this paper, the authors examined how the choice of gridded daily precipitation (P ) products affects the relative performance of three well-known parameter regionalisation techniques (spatial proximity, feature similarity, and parameter regression) over 100 near-natural catchments with diverse hydrological regimes across Chile.