Aitor Bastarrika
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View article: The Paramo Fire Atlas: quantifying burned area and trends across the Tropical Andes
The Paramo Fire Atlas: quantifying burned area and trends across the Tropical Andes Open
The paramo ecosystem is vital for biodiversity conservation and water regulation. Despite fire being a known disturbance agent in this ecosystem, little is known about the frequency and trends in these high-elevation landscapes. To address…
View article: An automatic procedure for mapping burned areas globally using Sentinel-2 and VIIRS/MODIS active fires in Google Earth Engine
An automatic procedure for mapping burned areas globally using Sentinel-2 and VIIRS/MODIS active fires in Google Earth Engine Open
Understanding the spatial and temporal trends of burned areas (BA) on a global scale offers a comprehensive view of the underlying mechanisms driving fire incidence and its influence on ecosystems and vegetation recovery patterns over exte…
View article: Sentinel-2 Reference Fire Perimeters for the Assessment of Burned Area Products over Latin America and the Caribbean for the Year 2019
Sentinel-2 Reference Fire Perimeters for the Assessment of Burned Area Products over Latin America and the Caribbean for the Year 2019 Open
The increasing availability of products generating burned area (BA) maps in recent years necessitates the creation of more accurate reference perimeters to validate these products and provide users with information about their accuracy. Fo…
View article: Above-ground biomass estimation from LiDAR data using random forest algorithms
Above-ground biomass estimation from LiDAR data using random forest algorithms Open
Random forest (RF) models were developed to estimate the biomass for the Pinus radiata species in a region of the Basque Autonomous Community where this species has high cover, using the National Forest Inventory, allometric equations and …
View article: A Preliminary Global Automatic Burned-Area Algorithm at Medium Resolution in Google Earth Engine
A Preliminary Global Automatic Burned-Area Algorithm at Medium Resolution in Google Earth Engine Open
A preliminary version of a global automatic burned-area (BA) algorithm at medium spatial resolution was developed in Google Earth Engine (GEE), based on Landsat or Sentinel-2 reflectance images. The algorithm involves two main steps: initi…
View article: Landsat and Sentinel-2 Based Burned Area Mapping Tools in Google Earth Engine
Landsat and Sentinel-2 Based Burned Area Mapping Tools in Google Earth Engine Open
Four burned area tools were implemented in Google Earth Engine (GEE), to obtain regular processes related to burned area (BA) mapping, using medium spatial resolution sensors (Landsat and Sentinel-2). The four tools are (i) the BA Cartogra…
View article: African burned area and fire carbon emissions are strongly impacted by small fires undetected by coarse resolution satellite data
African burned area and fire carbon emissions are strongly impacted by small fires undetected by coarse resolution satellite data Open
Significance Fires burn an area comparable to Europe each year, emitting greenhouse gases and aerosols. We compared burned area (BA) based on 20-m resolution images with a BA derived from 500-m data. It represents an 80% increase in BA in …
View article: Burned Area Detection and Mapping: Intercomparison of Sentinel-1 and Sentinel-2 Based Algorithms over Tropical Africa
Burned Area Detection and Mapping: Intercomparison of Sentinel-1 and Sentinel-2 Based Algorithms over Tropical Africa Open
This study provides a comparative analysis of two Sentinel-1 and one Sentinel-2 burned area (BA) detection and mapping algorithms over 10 test sites (100 × 100 km) in tropical and sub-tropical Africa. Depending on the site, the burned area…
View article: Prediction of Aboveground Biomass from Low-Density LiDAR Data: Validation over P. radiata Data from a Region North of Spain
Prediction of Aboveground Biomass from Low-Density LiDAR Data: Validation over P. radiata Data from a Region North of Spain Open
Estimation of forestry aboveground biomass (AGB) by means of aerial Light Detection and Ranging (LiDAR) data uses high-density point sampling data obtained in dedicated flights, which are often too costly for available research budgets. In…