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A spatio-temporal active-fire clustering approach for global burned area mapping at 250 m from MODIS data

A new research paper by Joshua Lizundia-Loiola et al. has been published in Remote Sensing of Environment, describing the FireCCI51 algorithm and product. This product detects more area than other MODIS-based datasets.

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Roser Majoral Moliné 2019 Award received for a FireCCI50 scientific article

 During the XXVI Congress of the Spanish Association of Geographers, held on 22-25 October 2019 at Valencia, Spain, the article "Generation and analysis of a new burned area product based on MODIS 250m reflectance bands and thermal anomalies" was awarded the Roser Majoral Moliné 2019 price for the best paper published in international journals.

Global Detection of Long-Term (1982–2017) Burned Area with AVHRR-LTDR Data

Remote Sensing has recently published this article by Gonzalo Otón et al., explaining the algorithm to produce the burned area product from AVHRR-LTDR. The article can be donwloaded from the Remote Sensing website, and the data from the download webpage.

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Burned area detection and mapping using Sentinel-1 backscatter coefficient and thermal anomalies

A new paper by Miguel Belenguer-Plomer et. al. has been published in Remote Sensing of Environment. You can download the full paper here.

Highlights:

FireCCI51 for 2018 released!

During the month of July, an extra year of the FireCCI51 burned area product has been released, based on 250m spatial resolution NIR data from the Terra MODIS sensor, and covering the year 2018. This data complements the existing 2001-2017 time series, for a total of 18 years of burned area information, both in pixel and grid format. You are invited to download the data from https://geogra.uah.es/fire_cci/.

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