R
Rubén Ramo
Researcher at University of Alcalá
Publications - 12
Citations - 808
Rubén Ramo is an academic researcher from University of Alcalá. The author has contributed to research in topics: Remote sensing (archaeology) & Support vector machine. The author has an hindex of 8, co-authored 11 publications receiving 492 citations.
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Journal ArticleDOI
Comparing the accuracies of remote sensing global burned area products using stratified random sampling and estimation
Marc Padilla,Marc Padilla,Stephen V. Stehman,Rubén Ramo,Dante Corti,Stijn Hantson,Patricia Oliva,Itziar Alonso-Canas,Andrew V. Bradley,Andrew V. Bradley,Kevin Tansey,Bernardo Mota,Bernardo Mota,José M. C. Pereira,Emilio Chuvieco +14 more
TL;DR: In this article, the accuracies of six global burned area (BA) products for year 2008 were compared using the same validation methods and reference data to quantify accuracy of each product.
Journal ArticleDOI
Generation and analysis of a new global burned area product based on MODIS 250 m reflectance bands and thermal anomalies
Emilio Chuvieco,Joshua Lizundia-Loiola,M.L. Pettinari,Rubén Ramo,Marc Padilla,Kevin Tansey,Florent Mouillot,Pierre Laurent,Thomas Storm,Angelika Heil,S. Plummer +10 more
TL;DR: In this article, the authors presented a new global burned area (BA) product, generated from the Moderate Resolution Imaging Spectroradiometer (MODIS) red (R) and near-infrared (NIR) reflectances and thermal anomaly data, thus providing the highest spatial resolution (approx. 250m) among the existing global BA datasets.
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A spatio-temporal active-fire clustering approach for global burned area mapping at 250 m from MODIS data
TL;DR: In this article, the authors presented a hybrid approach that combines MODIS highest resolution (250m) near-infrared band and active fire information from thermal channels, which was used to obtain a time series of global burned area dataset (named FireCCI51), covering the 2001-2018 period.
Journal ArticleDOI
African burned area and fire carbon emissions are strongly impacted by small fires undetected by coarse resolution satellite data.
Rubén Ramo,Ekhi Roteta,Ioannis Bistinas,Ioannis Bistinas,Dave van Wees,Aitor Bastarrika,Emilio Chuvieco,Guido R. van der Werf +7 more
TL;DR: In this paper, the relevance of small fires was estimated by comparing a BA product generated from Sentinel-2 MSI images (20m spatial resolution) with a widely used global BA product based on MODIS images (500 m) focusing on sub-Saharan Africa.
Journal ArticleDOI
BAMS: A Tool for Supervised Burned Area Mapping Using Landsat Data
Aitor Bastarrika,Maite Alvarado,Karmele Artano,Maria Pilar Martinez,Amaia Mesanza,Leyre Torre,Rubén Ramo,Emilio Chuvieco +7 more
TL;DR: A new supervised burned area mapping software named BAMS (Burned Area Mapping Software) is presented in this paper, which computes several of the spectral indexes most commonly used in burned area detection and implements a two-phase supervised strategy to map areas burned between two Landsat multitemporal images.