David Cocero's research while affiliated with National Distance Education University and other places

Publications (9)

Article
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Knowledge of fuel load and composition is critical in fighting, preventing, and understanding wildfires. Commonly, the generation of fuel maps from remotely sensed imagery has made use of medium-resolution sensors such as Landsat. This paper presents a methodology to generate fuel type maps from high spatial resolution satellite data through object...
Article
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This paper presents an empirical method for deriving fuel moisture content (FMC) for Mediterranean grasslands and shrub species based on multitemporal analysis of NOAA–AVHRR data. The results are based on 6 years of field measurements of FMC. The empirical function was derived from a 4-year series and includes multitemporal composites of AVHRR's no...
Article
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The assessment of burning efficiency (BE) is a critical parameter for estimating gas emissions derived from biomass burning. Several authors have proven a strong dependence of BE on moisture conditions of the fuel. This paper presents an empirical study where the relationships between fuel moisture content (FMC) and satellite-derived variables are...
Chapter
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Departamento de Geografía, Universidad de Alcalá. C/ Colegios, 2. 28801, Alcalá de Henares. RESUMEN Se presentan en este trabajo las relaciones observadas entre la humedad de las hojas de varias especies vegetales de ámbito mediterráneo, medida sobre el terreno e imágenes de satélite (NOAA-AVHRR y Landsat-TM). Se observa que los índices basados en...
Chapter
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A description of methods used to determine short-term changes in fire danger is reviewed, mainly those based on the estimation of foliage moisture content (FMC). Applications of low-resolution data, acquired by the Advanced Very High Resolution Radiometer (AVHRR) on board the NOAA satellites, as well those based on high-resolution data, are examine...
Article
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Fuel moisture content (FMC) for Mediterranean spe- cies was measured and correlated with NOAA-AVHRR and Landsat-T M images. The best variable related to FMC was the quotient between the Normalized Dif- ference Vegetation Index and Surface Temperature (NDVI/ST). Two other indices derived from Landsat's SWIR bands also showed good correlation. Two mu...
Article
Full-text available
Time series data from the Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) have been used to derive georeferenced inventories of human settlements for Europe, North and South America, and Asia. The visible band of the OLS is intensified at night, permitting detection of nocturnal visible-near infrared emissions from...
Article
Resumen: Se presentan en este trabajo las relaciones observadas entre la hu-medad de las hojas de varias especies vegetales de ámbito mediten^neo, medida sobre el ten'eno, los índices meteorológicos de peligro de incendios. Y las imágenes de satélite (NOAA-AVHRR y Landsat-TM). Se observa que el DC (Drought Code), subíndice meteorológico del sistema...

Citations

... El uso de sistemas de información geográfica (SIG) y de teledetección permite evidenciar cambios en los ecosistemas (Lowry, 2007;Flores et al., 2020). El análisis de los índices espectrales más comunes, conocidos como índices de vegetación, resalta las diferencias en la cobertura vegetal (Chuvieco et al., 1999). Uno de ellos, el índice de vegetación normalizada (Normalized Difference Vegetation Index, NDVI), determina tanto la presencia como el estado de la vegetación mediante la diferencia en la reflectividad entre bandas espectrales (Hernández et al., 2014); este índice arroja valores del verdor y proporciona la cantidad de vegetación presente en una superficie midiendo las relaciones entre la energía absorbida y la emitida por los objetos terrestres (Tovar, 2012), con lo cual se puede calcular el área de la cobertura vegetal para una determinada zona, así como sus variaciones en el tiempo. ...
... Pág. 11 utilizados en la prevención del peligro (Cocero et al., 2000). De acuerdo con ello, la información espectral medida por teledetección presenta correlaciones intensas con el estado hídrico de algunas especies vegetales, sobre todo las que presentan doseles simples, pues son las más sensibles a los cambios meteorológicos del verano. ...
... No obstante, el empleo de índices meteorológicos también presenta dificultades operativas, puesto que las estaciones meteorológicas habitualmente no están próximas a áreas forestales, ni tienen la densidad adecuada (Chuvieco et al., 2003). Considerando además que el contenido en agua de las plantas no sólo depende de las condiciones atmosféricas, sino también de las características fisiológicas de la vegetación (Cocero et al., 1998), resulta muy probable que sea necesario adaptarlos a cada especie. Finalmente, la humedad del combustible puede estimarse también a partir de imágenes satélite, que proporcionan una observación espacial completa y repetitiva del territorio (Chuvieco et al., 2003). ...
... A análise de regressão múltipla é um importante modelo para analisar dados empíricos e sua possível relação com outras variáveis. A questão principal levantada pelos autores, reside em saber se as variações na refletância ou temperatura da planta causadas pela mudança do conteúdo de água podem ser explicadas por outros fatores, como por exemplo, índice de área foliar, geometria da copa, ângulos de observação, condições atmosféricas, e características físico-químicas do solo (Chuvieco et al., 2004;Yebra et al., 2013;Adab et al., 2016). Neste estudo, tais fatores podem ter influenciado na reflectância dos ambientes, o que explica a baixa correlação pelas faixas NIR e SWIR. ...
... FMC is difficult to obtain over large scales. Limited success has been reported to estimate FMC by means of remote sensing using shortwave (SW) reflective, thermal and microwave data (Bowman, 1989;Carter, 1991;Gogineni et al., 1991;Chuvieco et al., 2004). The basic information content for optical remote sensing of MFC comes from the SW infrared (SWIR) reflectance around 1.6 m (Tucker, 1980;Hunt and Rock, 1989), that is available from many common sensors such as MODIS, AVHRR and VGT (Fraser and Li, 2002). ...
... Fuel types have been usually mapped through fieldwork, aerial photointerpretation, ecological modelling, existing datasets and/or remote sensing (Arroyo et al., 2008). Remote sensing methods previously applied to fuel 85 type mapping include a wide range of techniques and input data, from medium (Palaiologou et al., 2013;Alonso-Benito et al., 2013;Marino et al., 2016;Aragoneses and Chuvieco, 2021) to high spatial resolutions (Arroyo et al., 2006;Mallinis et al., 2008). Both passive (Alonso-Benito et al., 2013;Aragoneses and Chuvieco, 2021) and active (Riaño et al., 2003;González-Olabarria et al., 2012) sensors have been used, as well as a combination of sensors (Mutlu et al., 2008;García et al., 2011;Palaiologou et al., 2013;Marino et al., 2016). ...
... The raw values are fit into 30 arcsecond grid-cells and are then averaged to construct an annual mean value, which is normalized, converted to a digital number from 0 to 63, and made publicly available by the U.S.'s National Oceanic and Atmospheric Administration (NOAA). We use the stable, cloud-free series for the years 1992-2013 described in Elvidge et al. (1997). 20 ...
... Several tools have been used for forest fire susceptibility analysis and mapping, including satellite imaging technology (Hernandez-Leal et al. 2006, Prosper-Laget et al. 1995, geographic information systems technology (Jaiswal et al. 2002, Teodoro andDuarte 2013), fire area simulators with probabilistic models (Krasnow et al. 2009), fuel moisture content (Chuvieco et al. 2004), multivariate logistic regression , and generalized additive models (Pourtaghi et al. 2016). In addition, multi-criteria decision-making has been applied to the analytic hierarchy process , and step-wise weight assessment ratio analysis has been performed (Pourghasemi et al. 2019). ...