P. Illera’s research while affiliated with University of Valladolid and other places

... When drought exists, due to considerable reduction of the rainfall, the capacity to carry out the chlorophyllian function on the part of the vegetation is notably reduced. This occurrence is demonstrated by the spectral response; the affected vegetation covers provide the response of the green vegetation (in a good physiological and healthy state) that is characterized by a substantial absorption in the red region and a large reflection in the infrared region near the electromagnetic spectrum (Alonso et al. 1994). As we know, plant growth, photosynthesis, and stomatal aperture may be limited under water deficit. ...

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An investigation of drought prediction using various remote-sensing vegetation indices for different time spans

... Aboveground biomass also influences the potential emissions of carbon that could be released into the atmosphere by deforestation (Lu 2005). Aboveground biomass, known as 'fuel load' in wildfire research, is related to carbon emissions from wildfires (Palacios-Orueta et al. 2002) and essential to identify fuel models, which are used in fire propagation models (Fernández et al. 1997, French et al. 2000, Carlson and Burgan 2003 and as an input parameter for fire danger models (García et al. 2008). Finally, it is important to appraise this parameter for post-fire regeneration studies (Saura-Mas and Lloret, 2007). ...

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Estimation of dry matter content in leaves using normalized indexes and PROSPECT model inversion

... ont utilisé les données LANDSAT pour dériver une carte de risque feu des forêts de la côte méditerranéenne espagnole.López et al. (1991),Chuvieco et Martin (1994),Illera et al. (1996) etCalle et al. (1999) ont tous travaillé sur l'évaluation, l'estimation et la cartographie, à grande échelle, du risque feu de forêt en Espagne, au moyen d'images NOAA-AVHRR.Gabban et al. (2008) ont évalué le risque feu de forêt dans la région méditerranéenne européenne en comparant les indices satellitaires et météorologiques. L'analyse a été effectuée en tenant compte d'un ensemble de données de 10 ans d'incendie, de données satellitaires et de données météorologiques pour l'Espagne. ...

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Application du SIG et de la télédétection pour un outil cartographique d'aide à la gestion des feux de forêts dans la wilaya d’El Tarf

... With the development of satellite imagery, there was a major trend in the late 1990s toward using AVHRR data to calculate vegetation indices (i.e., NDVI, LAI, WDI, and CWSI) as indicators of water stress [138][139][140][141], in which NDVI was the most popular index for applications, appearing in 75% of publications. In this period, vegetation water stress assessments preferred using simultaneous reflectance in the VIS, NIR, and TIR wavelengths, as available with the NOAA-AVHRR sensor [142] due to the advantages of its high temporal resolution (four images per day captured by two satellites) and multispectral bands (VIS, NIR, MIR, and TIR). ...

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Application of Remote Sensing in Detecting and Monitoring Water Stress in Forests

... In the 1990s, many studies on forest fire risk simply focused on the role of weather factors and vegetation cover/condition by the application of remote sensing techniques [1][2][3]. Illera et al. [1] have studied the possibility of estimating forest fire danger by means of analyzing the temporal evolution of Normalized Difference Vegetation Index (NDVI) derived from NOAA/AVHRR. Results showed that the slope of the evolution curve of the NDVI could be used as an indicator to estimate the water stress of vegetation and then to assess its danger. ...

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Application of Remote Sensing Technology in Wildfire Research: Bibliometric Perspective

... The remote sensing images taken by satellite are easily affected by the atmosphere, which interfere with obtaining the actual surface reflectance (SR) of the target objects. Most remote sensing applications rely on SR products [1], but acquiring SR is still a challenge [2,3]. Therefore, in order to improve the quality of images and restore the actual SR of target objects, it is necessary to eliminate the top-of-atmosphere (TOA) contributions from atmospheric molecules, aerosols, and other atmospheric components on remote sensing images through atmospheric correction. ...

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QUantitative and Automatic Atmospheric Correction (QUAAC): Application and Validation

... Nigeria has a vast supply of solar energy all year round according to Osinowo et al. [26]. The enormous radiance available from the sun has been analyzed by Iqbal [16], Illera et al. [17] and Osinowo and Okogbue [25] and the seemingly harsh radiation and its effect on earth's surfaces has been enumerated by Radosavljevic and Dordevic [27] and Hussien [20]. The dependence of solar radiation maps for analyzing solar intensities have been investigated by Halouani et al. [14] and Linares-Rodríguez et al. [19] thus aiding designers of solar energy systems to more efficiently utilize solar irradiance for profitable uses. ...

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Sustainable solar power from wall mounted photovoltaics

... This information is obtained through the generation of several spectral indexes. In literature, the most used are the normalized difference vegetation index (NDVI) [2,[8][9][10][11][12] and normalized burned ratio (NBR) [2,6,13,14]). Such indexes allow to obtain in a rapid way a mapping of burnt areas useful to support fire management activities such as strategic planning, mitigation measures and rehabilitation of damaged areas [2,14,19]. ...

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Wildfires Induced by Volcanic Activity at Stromboli Island during the 2019 Summer through Satellite and Drone Data

... In the last decade, images from the Advanced Very High Resolution Radiometer (AVHRR) on board the National Oceanic and Atmospheric Administration (NOAA) series satellites were often employed to detect wild res (Robinson 1991, Arino and Mellnotte 1995, Illera et al. 1995. While NOAA-AVHRR instruments were designed mainly for weather surveillance and sea surface temperature management, their capability for detecting res has been exploited as well. ...

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Satellite-based detection of Canadian Boreal forest fires: Development and application of the algorithm

... High-resolution crop mapping over large areas is a major challenge in agricultural remote sensing [54]. The single satellite sensor has inherent observation limitations, which is the main reason for the current low accuracy of crop monitoring [55]. Therefore, in view of the shortcomings of the single satellite data source, it should be further strengthened for the collaborative inversion of different data sources, especially through combining optical remote sensing with radar and other sensors to generate high-quality crop monitoring data products in the future [56]. ...

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Integrating Sentinel-1/2 Data and Machine Learning to Map Cotton Fields in Northern Xinjiang, China