A5040667284- Fire effects on ecosystems
- Remote Sensing in Agriculture
- Atmospheric and Environmental Gas Dynamics
- Remote Sensing and LiDAR Applications
- Fire Detection and Safety Systems
- Remote-Sensing Image Classification
- Fire dynamics and safety research
- Laser Applications in Dentistry and Medicine
- Marine Biology and Ecology Research
- Cerebrovascular and Carotid Artery Diseases
- Soil and Land Suitability Analysis
- Atmospheric chemistry and aerosols
- Coral and Marine Ecosystems Studies
- Impact of Light on Environment and Health
- Marine and fisheries research
Centro Nacional de Información Geográfica
2021-2025
Universidad de Alcalá
2012-2021
This paper presents the generation of a global burned area mapping algorithm using MODIS hotspots and near-infrared reflectance within ESA's Fire_cci project. The is based on hybrid approach that combines highest resolution (250 m) band active fire information from thermal channels. detected in two phases. In first step, pixels with high probability being are selected order to reduce commission errors. To do that, spatio-temporal active-fire clusters created determine adaptive thresholds....
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...
Abstract. This paper presents a new global burned area (BA) product, generated from the Moderate Resolution Imaging Spectroradiometer (MODIS) red (R) and near-infrared (NIR) reflectances thermal anomaly data, thus providing highest spatial resolution (approx. 250 m) among existing BA datasets. The product includes full times series (2001–2016) of Terra-MODIS archive. detection algorithm was based on monthly composites daily images, using temporal distance to active fires. has two steps,...
This paper aims to develop a global burned area (BA) algorithm for MODIS BRDF-corrected images based on the Random Forest (RF) classifier. Two RF models were generated, including: (1) all reflective bands; and (2) only red (R) near infrared (NIR) bands. Active fire information, vegetation indices auxiliary variables taken into account as well. Both trained using statistically designed sample of 130 reference sites, which took diversity conditions. For each site, perimeters obtained from...
A new supervised burned area mapping software named BAMS (Burned Area Mapping Software) is presented in this paper. The tool was built from standard ArcGISTM libraries. It computes several of the spectral indexes most commonly used detection and implements a two-phase strategy to map areas between two Landsat multitemporal images. only input required user visual delimitation few areas, which perimeters are extracted. After discrimination patches, can visually assess results, iteratively...
This paper presents the first global burned area (BA) product derived from land long term data record (LTDR), a long-term 0.05-degree resolution dataset generated advanced very high radiometer (AVHRR) images. Daily images were combined in monthly composites using maximum temperature criterion to enhance signal and eliminate clouds artifacts. A synthetic BA index was created improve detection of signal. included red near infrared reflectance, surface temperature, two spectral indices, their...
Abstract This study presents an innovative approach to high-resolution land cover classification using deep learning, tackling the challenge of working with exceptionally small dataset. Manual annotation data is both time-consuming and labor-intensive, making augmentation crucial for enhancing model performance. While a well-established technique, there has not been comprehensive comparative evaluation wide range methods specifically applied until now. Our work fills this gap by...
Gorgonians play a fundamental role in the deep sea (below 200 m depth), composing three-dimensional habitats that are characterized by high associated biodiversity and playing an important part biogeochemical cycles. Here we describe use of benthic lander to monitoring polyps activity, used as proxy gorgonian feeding activity three colonies Placogorgia sp. Images cover period 22 days with temporal resolution 30 min. In addition, this seafloor observatory is instrumented oceanographic sensors...
Abstract. This paper presents a new global burned area (BA) product, generated from the MODIS red (R) and near infrared (NIR) reflectances thermal anomalies data, thus providing highest spatial resolution (approx. 250 m) among existing BA datasets. The product includes full times series (2001–2016) of archive. detection 20 algorithm was based on temporal composites daily images, using distance to active fires. has two steps, first one aiming reduce commission errors by selecting most clearly...
This paper proposes a validation-comparison method for burned area (BA) products. The technique considers: (1) bootstrapping of scenes and (2) permutation tests validation. research focuses on the tropical regions Northern Hemisphere South America Africa studies accuracy BA products: MCD45, MCD64C5.1, MCD64C6, Fire CCI C4.1, C5.0. first second parts consider methods based random matrix theory zone differentiation multiple ancillary variables such as BA, number fragments, ecosystem type, land...
Current global burned area products are available at coarse spatial resolutions (300-500 m), what leads to large amounts of errors, hindering an accurate understanding fire-related processes. This study proposes a calibration method for sensor-independent algorithm, previously used with 300 m Sentinel-3 Synergy data, and here implemented 20 Sentinel-2 MSI imagery. A binomial model that combines reflectance-based predictions constrained by spatio-temporal densities derived from VIIRS active...
The authors wish to make the following corrections this paper [...]