Miguel A. Belenguer-Plomer

Indra

This paper presents a burned area mapping algorithm based on change detection of Sentinel-1 backscatter data guided by thermal anomalies. The algorithm self-adapts to the local scattering conditions and it is robust to variations of input data availability. The algorithm applies the Reed-Xiaoli detector (RXD) to distinguish anomalous changes of the...

Burned area algorithms from radar images are often based on temporal differences between pre- and post-fire backscatter values. However, such differences may occur long past the fire event, an effect known as temporal decorrelation. Improvements in radar-based burned areas monitoring depend on a better understanding of the temporal decorrelation ef...

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 was mapped at different time points during the 2015–2016 fire seasons. The algorithms relied on diverse burned...

In this paper, we present an in-depth analysis of the use of convolutional neural networks (CNN), a deep learning method widely applied in remote sensing-based studies in recent years, for burned area (BA) mapping combining radar and optical datasets acquired by Sentinel-1 and Sentinel-2 on-board sensors, respectively. Combining active and passive...

Fire has a vast influence on the climatic balance, and the Global Climate Observing System (GCOS) considers it an Essential Climate Variable (ECV). Remote sensing data is a powerful source of information for burned area detection and thus for estimating greenhouse gases (GHGs) emissions from fires. Currently, most burned area products are based on...

Prescribed burning is a technique applied to control fire risk, and it has been used in the forests of Western Australia since the 1960s. Synthetic Aperture Radar (SAR) data are sensitive to vegetation structural changes and may detect changes in understory vegetation particularly when the upper forest canopy remains largely unaffected, as it is of...

Fire is considered an essential climate variable (ECV) by the Global Climate Observing System (GCOS). Remote sensing is often used to detect the burned areas and subsequently estimate CO2 emissions from wildfires. Most burned area mapping approaches are based on optical images. However, cloud cover independent radar datasets are increasingly employ...

Worldwide, about 2.1 PgC are released every year from biomass burning. Due to its importance for climate modelling, several products were developed to map burned areas (BA) at global levels. Most of these products are based on medium or low-resolution optical sensors which are rather insensitive to small size fires. Moreover, frequent cloud cover a...

The study of fires has a high environmental interest, because fires can make changes in some ecosystems. Also fires are an important source of aerosols and gases of greenhouse effect. This study develops an automatic detection algorithm for burned areas using time series of Sentinel-1 radar images, which allow the detection of burned areas where th...

Recent estimates show that about 2.1 PgC are released every year due to biomass burning. Because of its importance, numerous approaches have been developed to estimate fire affected area globally with most of them using low to medium resolution optical and thermal wavelengths. However, there is an increasing evidence of burned area underestimation...

RESUMEN Los cambios en los usos del suelo en ocasiones se producen sin tener en cuenta las características del territorio, lo que puede generar impactos medioambientales. En este artículo se han detectado los problemas en la localización de los usos del suelo del término municipal de Riba-roja de Túria (Valencia). Para tal fin se han calculado los...

p align="justify">The Horn of Africa is one of the most food-insecure locations around the world due to the continuous increase of its population and the practice of the subsistence agriculture. This causes that much of the population cannot take the minimum nutritional needs for a healthy life. Moreover, this situation of food vulnerability may be...

This master thesis addresses the problem of the automatic detection of anomalous changes occurring on the Earth's surface using satellite imagery of the Earth. These changes imply any variation outside of what is typically expected to occur in a particular area of the planet. Their detection is very important in geo-sciences, because in the current...