A5068371561- Fire effects on ecosystems
- Remote Sensing in Agriculture
- Fire Detection and Safety Systems
- Atmospheric and Environmental Gas Dynamics
- Remote Sensing and LiDAR Applications
- 3D Surveying and Cultural Heritage
- Flood Risk Assessment and Management
- Forest Biomass Utilization and Management
- Urban Heat Island Mitigation
- Phytochemical Studies and Bioactivities
- Fire dynamics and safety research
University of the Basque Country
2018-2023
Universidad de Alcalá
2022
Centro de Tecnologías Aeronauticas (Spain)
2020-2022
A locally-adapted multitemporal two-phase burned area (BA) algorithm has been developed using as inputs Sentinel-2 MSI reflectance measurements in the short and near infrared wavebands plus active fires detected by Terra Aqua MODIS sensors. An initial map is created first step, from which tile dependent statistics are extracted for second step. The whole Sub-Saharan Africa (around 25 M km2) was processed with this at a spatial resolution of 20 m, January to December 2016. This period covers...
Fires are a major contributor to atmospheric budgets of greenhouse gases and aerosols, affect soils vegetation properties, key driver land use change. Since the 1990s, global burned area (BA) estimates based on satellite observations have provided critical insights into patterns trends fire occurrence. However, these BA products coarse spatial-resolution sensors, which unsuitable for detecting small fires that burn only fraction pixel. We estimated relevance those by comparing product...
Four burned area tools were implemented in Google Earth Engine (GEE), to obtain regular processes related (BA) mapping, using medium spatial resolution sensors (Landsat and Sentinel-2). The four are (i) the BA Cartography tool for supervised over user-selected extent period, (ii) two implementing a stratified random sampling select scenes dates validation, (iii) Reference Perimeter highly accurate maps that focus on validating coarser products. Burned Area Mapping Tools (BAMTs) go beyond...
Coarse resolution sensors are not very sensitive at detecting small fire patches, making current estimations of global burned areas (BA) conservative. Using medium or high-resolution to generate BA products becomes then a priority, particularly in where fires tend be and frequent. Building on previous work that developed dataset (SFD) for Sub-Saharan Africa 2016, this paper presents new version the 2019 using two Sentinel-2 satellites (A B) VIIRS active fires. Total estimated was 4.8 Mkm2....
This study provides a comparative analysis of two Sentinel-1 and one Sentinel-2 burned area (BA) detection mapping algorithms over 10 test sites (100 × 100 km) in tropical sub-tropical Africa. Depending on the site, was mapped at different time points during 2015–2016 fire seasons. The relied diverse strategies regarding data used (i.e., surface reflectance, backscatter coefficient, interferometric coherence) method. Algorithm performance compared by evaluating detected BA agreement with...
Abstract. Over the past 2 decades, several global burned area products have been produced and released to public. However, accuracy assessment of such largely depends on availability reliable reference data that currently do not exist a scale or whose production require high level dedication project resources. The important lack for validation is addressed in this paper. We provide Burned Area Reference Database (BARD), first publicly available database created by compiling existing BA...
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 involves two main steps: initial burned candidates are identified by analyzing spectral changes around MODIS hotspots, and those then used to estimate the burn probability for each scene. burning dates temporal evolution probabilities. processed, its quality assessed globally using reference data...
In January 2017, 114 active fires burned throughout Chile at the same time. These spread quickly due to high temperatures, fast dry winds, and low vegetation water content. The fire events more than 570,000 ha, from which 20% of area was endangered native forest. Timely accurate mapping is crucial for evaluation damages management affected areas. As a diverse country with many types ecosystems vegetation, use novel spectral indices may improve accuracy satellite data-based algorithms. this...
Due to the high variability of biomes throughout country, classification burned areas is a challenge. We calibrated random forest classifier account for all this and ensure an accurate areas. The was optimized in three steps, generating version area product each step. According visual assessment, final BA more than perimeters created by Chilean National Forest Corporation, which overestimate large because it does not consider inner unburned and, omits some small total surface from January...
Abstract. Over the past two decades, several global burned area products have been produced and released to public. However, accuracy assessment of such largely depends on availability reliable reference data that currently does not exist a scale or whose production requires high level dedication project resources. The important lack for validation is addressed in this paper. We provide first Burned Area Reference Database (BARD) was created by compiling existing datasets from different...
The FireCCI project, as part of the ESA Climate Change Initiative (CCI), has developed and validated burned area (BA) algorithms products with objective to meet, far possible, GCOS (Global Observing System) Essential Variable requirements for global satellite data from multi-sensor archives.The current suite include FireCCI51, whose algorithm uses input MODIS NIR surface reflectance at 250 m 1-km-resolution active fires, currently covers a 20-year time series. An evolution this SWIR bands...
Abstract. Due to the high variability of biomes throughout country, classification burned areas is a challenge. We calibrated random forest classifier account for all this and ensure an accurate areas. The was optimized in three steps, generating version area product each step. According visual assessment, final BA more than perimeters created by Chilean National Forest Corporation, which overestimate large because it does not consider inner unburned and, omits some small total surface from...