Laia Nuñez-Casillas

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The turn of the new millennium was accompanied by a particularly diverse group of burned area datasets from different sensors in the Canadian boreal forests, brought together in a year of low global fire activity. This paper provides an assessment of spatial and temporal accuracy, by means of a fire-by-fire comparison of the following: two burned area(More)
The forcing of human activity on climate has greatly increased over the last two decades the effort of scientists to deal with the processes involved in global system in depth. Remote sensing plays an increasingly important role in global monitoring, providing an excellent way to obtain, not only continuous in time but global scale information. In this(More)
The forest temperature is one key parameter in the models developed for providing early fire risk alerts. The satellite remote sensing data are the best way to obtain this parameter both regionally and globally. This study proposes an approach to obtain Forest Surface Temperature (FST) by means of Terra-ASTER (Advanced Spaceborne Thermal Emission and(More)
Among the diversity of Sea Surface Temperature (SST) analysis products which are now being processed under the GODAE (Global Ocean Data Assimilation Experiment) High-Resolution SST Pilot Project (GHRSST-PP) guidelines, the OISST v.2 product presents the most suitable technical characteristics for this study, which are: a daily SST and SST anomalies dataset,(More)
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