One of the major problems in the monitoring of tropical rainforests using satellite imagery is th... more One of the major problems in the monitoring of tropical rainforests using satellite imagery is their persistent cloud coverage. The use of daily observations derived from high temporal resolution sensors, such as Moderate Resolution Imaging Spectroradiometer (MODIS), could potentially help to mitigate this issue, increasing the number of clear-sky observations. However, the cloud contamination effect should be removed from these results in order to provide a reliable description of these forests. In this study the available MODIS Land Surface Temperature (LST) products have been reprocessed over the Amazon Basin (10 N–20 S, 80 W–45 W) by introducing different cloud masking schemes. The monthly LST datasets can be used for the monitoring of thermal anomalies over the Amazon forests and the analysis of spatial patterns of warming events at higher spatial resolutions than other climatic datasets.
En: XI Congreso Nacional de Teledetección, Teledetección, Avances en la Observación de la Tierra,... more En: XI Congreso Nacional de Teledetección, Teledetección, Avances en la Observación de la Tierra, M. Arbelo, A. González, J.C. Pérez (Eds.), pág.: 53-56, Tenerife, 21-23/9/2005. El sensor hiperespectral AHS (Airborrne Hyperspectal Scanner)fue utilizado para obtener imágenesde 2.5 m de resolución espacial en el espectro visible, infrarrojo cercano y térmico en una parcela de olivar en Córdoba (España) con el fin de estudiar la variabilidad espacial y temporal del estrés hídrico. Los datos térmicos del AHS permitieron obtener imágenes detemperatura de superficie de la parcela a las 7:30,9:30 y 12:30 GMTel 25 de julio de 2004. El diseño experimental en bloques aleatorios consistió en aplicar tres dosis diferentes de riego durante julio, agosto y septiembre, realizando medidas semanales de potencial hídrico, fotosíntesis y conductancia para estudiar los efectos del estrés hídrico en el cultivo. Los sensores de infrarrojo IRT permitieron la realización de medidas continuas de temperatura...
In this paper we present a LST product obtained from Advanced Along-Track Scanning Radiometer (AA... more In this paper we present a LST product obtained from Advanced Along-Track Scanning Radiometer (AATSR) data. The product has been validated with in situ measurements carried out in the framework of the CarboEurope-Flex-Sentinel-2 (CEFLES2) campaign. In addition the paper present a comparison between the proposed product and the LST retrieved from different
IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2003
Land surface temperature is an important key for environmental studies like energy balances and c... more Land surface temperature is an important key for environmental studies like energy balances and climate models. As is well-known, to retrieve land surface temperature from remotely sensed data, land surface emissivities are needed due to the non-deterministic nature of the temperature/emissivity separation from thermal infrared measurments: if the thermal radiation is measured in N spectral bands, there will be N+1 unknowns (N emissivities and a single surface temperature). In this paper, two methods to estimate land surface emissivity from the Digital Airborne Imaging Spectrometer (DAIS) sensor are considered: the Temperature/Emissivity Separation method (TES) developed by Gillespie et al.
Land surface temperature estimation and monitoring within the framework of CEOP-AEGIS project
The CEOP-AEGIS (Coordinated Asia-European long-term Observing system of Qinghai-Tibet Plateau hyd... more The CEOP-AEGIS (Coordinated Asia-European long-term Observing system of Qinghai-Tibet Plateau hydro-meteorological processes and the Asian-monsoon systEm with Ground satellite Image data and numerical Simulations) project focuses on the water cycle on the Tibet Plateau and its surroundings. This region provides water to half of the human kind, and the understanding of its water cycle is therefore of utmost importance in the light of global warming. A key element in the study of the water cycle is the Land Surface Temperature (LST) since it characterizes the evapo-transpiration regime of the vegetation. To that end, LST retrieval algorithms were developed and adapted for the estimation of LST from various sensors: ERS (European Remote Sensing satellite)/ATSR2 (Along Track Scanning Radiometer), ENVISAT (Environmental Satellite)/AATSR (Advanced Along-Track Scanning Radiometer), TERRA/MODIS (MODerate resolution Imaging Spectroradiometer), AQUA/MODIS, NOAA-07 (National Oceanic and Atmosp...
La teledetección térmica proporciona información de gran interés acerca de los procesos que ocurr... more La teledetección térmica proporciona información de gran interés acerca de los procesos que ocurren en la superficie de nuestro planeta. En concreto, las imágenes térmicas a media y alta resolución permiten realizar distintos estudios medioambientales, como por ejemplo la estimación de la evapotranspiración a partir de la ecuación de balance energético, de gran aplicación en una problemática tan actual como es la gestión de los recursos hídricos. En este sentido, el lanzamiento en 1982 del sensor Thematic Mapper (TM) a bordo de la plataforma Landsat-4 y su posterior continuación en 1984 con el lanzamiento de la plataforma Landsat-5, actualmente operativa, ha permitido a los usuarios disponer de una base histórica de más de 25 años de imágenes térmicas a 120 metros de resolución espacial. La plataforma Landsat-7, puesta en órbita en 1999 con el sensor Enhanced Thematic Mapper plus (ETM+), incrementó la resolución espacial de las imágenes térmicas a 60 metros, si bien debido a un fallo técnico del sensor su uso está muy limitado. El presente trabajo se centra en la estimación de la Temperatura de la Superficie Terrestre (TST), que es la principal variable a obtener cuando se trabaja con datos medidos en el infrarrojo térmico. El trabajo presenta los distintos algoritmos que ABSTRACT Thermal remote sensing provides useful information of surface processes occurring in our planet. In particular, thermal imagery at medium and high spatial resolution is useful in many environmental studies, such as evapotranspiration estimation from the energy balance equation, which is a key parameter when working in water resources management. In this sense, the launch in 1982 of the Thematic Mapper (TM) sensor on board the Landsat-4 platform and its continuity in 1984 with the launch of Landsat-5 platform, currently operative, have provided the users with thermal imagery at 120 meters spatial resolution for more than 25 years. In addition, the launch in 1999 of the Enhanced Thematic Mapper plus (ETM+) on board the platform Landsat-7 have provided thermal imagery at 60 meters spatial resolution, despite that its use is limited due to a technical failure in the sensor. This paper focuses on the Land Surface Temperature (LST) retrieval, which is the main variable to be extracted when working with thermal infrared data. The paper shows the different algorithms that can be used to retrieve this parameter from Landsat data, highlighting those ones which allow an operational retrieval using approaches of atmospheric parameters only versus water vapor content as well as water vapor and air temperature.
Different activities related to thermal remote sensing were carried out in April 2008 and May 201... more Different activities related to thermal remote sensing were carried out in April 2008 and May 2010 at the Doñana Biological Reserve (RBD) in the framework of the HYDRA project, focused on the study of marshals flooding dynamics. These activities included collection of in situ measurements with spectroradiometers working in the visible and near infrared spectral range and broadband (8-13 µm) and multiband thermal radiometers, as well as the acquisition of high resolution images from the Airborne Hyperspectral Scanner (AHS) sensor operated by the Instituto Nacional de Técnica Aeroespacial (INTA). During May 2010 two thermal radiometers were placed on fixed towers in order to continuously collect daily temperature values for imagery calibration and validation provided by medium and low resolution sensors onboard Earth Observation satellites. This work shows results obtained in the radiometric characterization of natural surfaces located in the RBD through reflectivity and emissivity spectra, as well as AHS derived products of Land Surface Temperature and Emissivity.
Land Surface Temperature retrieval from Sentinel 2 and 3 Missions: a conceptual framework
ABSTRACT Land Surface Temperature (LST) is one of the key parameters in the physics of land-surfa... more ABSTRACT Land Surface Temperature (LST) is one of the key parameters in the physics of land-surface processes on regional and global scales, combining the results of all the surface-atmosphere interactions and energy fluxes between the surface and the atmosphere. Because of the strong heterogeneity in land surface characteristics such as vegetation, topography and soil physical properties, LST changes rapidly in space as well as in time. An adequate characterization of LST distribution and its temporal evolution, therefore, requires measurements with detailed spatial and temporal frequencies. With the advent of the ESA's Sentinel 2 and 3 series of satellites a unique opportunity exists to go beyond the current state of the art of single instrument algorithms. In this work we explore the synergistic use of future MSI instrument on board Sentinel-2 platform and OLCI/SLSTR instruments on board Sentinel-3 platform in order to improve LST products currently derived from the single AATSR instrument on board the ENVISAT satellite. For this purpose, the high spatial resolution data from Sentinel2/MSI will be used for a good characterization of the land surface sub-pixel heterogeneity, in particular for a precise parameterization of surface emissivity using a land cover map and spectral mixture techniques. On the other hand, the high spectral resolution of OLCI instrument, suitable for a better characterization of the atmosphere, along with the dual-view available in the SLTSR instrument, will allow a better atmospheric correction through improved aerosol/water vapor content retrievals and the implementation of novel cloud screening procedures. Effective emissivity and atmospheric corrections will allow accurate LST retrievals using the SLTSR thermal bands by developing a synergistic split-window/dual-angle algorithm. ENVISAT MERIS and AATSR instruments and different high spatial resolution data (Landsat/TM, Proba/CHRIS, Terra/ASTER) will be used as a benchmark for the future OLCI, SLTSR and MSI instruments. Results will be validated using ground data collected in the framework of different field campaigns organized by ESA.
We present an analysis of the laboratory reflectance and emissivity spectra of 11 soil samples co... more We present an analysis of the laboratory reflectance and emissivity spectra of 11 soil samples collected on different field campaigns carried out over a diverse suite of test sites in Europe, North Africa, and South America from 2002 to 2008. Hemispherical reflectance spectra were measured from 2.0 to 14 microm with a Fourier transform infrared spectrometer, and x-ray diffraction analysis (XRD) was used to determine the mineralogical phases of the soil samples. Emissivity spectra were obtained from the hemispherical reflectance measurements using Kirchhoff's law and compared with in situ radiance measurements obtained with a CIMEL Electronique CE312-2 thermal radiometer and converted to emissivity using the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) temperature and emissivity separation algorithm. The CIMEL has five narrow bands at approximately the same positions as the ASTER. Results show a root mean square error typically below 0.015 between labora...
El objetivo principal de este artículo es desarrollar un algoritmo operacional para la estimación... more El objetivo principal de este artículo es desarrollar un algoritmo operacional para la estimación de la Temperatura de la Superficie Terrestre (TST) usando los canales del visible y del infrarrojo térmico del sensor Spinning Enhanced Visible and Infrared Imager (SEVIRI) instalado a bordo del segundo satélite de la serie Meteosat Second Generation (MSG2, también conocido como Meteosat 9). El algoritmo esta basado en el método Split-Window y utiliza dos canales del infrarrojo térmico (IR10.8 e IR12.0). Se ha utilizado el código de transferencia radiativa MODTRAN 4.0 para obtener los coeficientes numéricos del algoritmo propuesto. Los resultados muestran que el algoritmo es capaz de estimar la TST con una desviación estándar de 0.7 K y con un Error Cuadrático Medio (ECM) de 1.3 K, para un ángulo cenital de observación inferior a 50º. El algoritmo se ha aplicado a una serie de imágenes MSG2 adquiridas con un sistema de recepción de datos MSG instalado en el Laboratorio de Procesamiento de Imágenes (IPL: Imaging Processing Laboratory) de la Universidad de Valencia. El producto TST se ha validado a partir de datos in situ obtenidos durante la cam-
The VGT4Africa project (http://www.vgt4africa.org) is a FP6 Specific Support Action (three years,... more The VGT4Africa project (http://www.vgt4africa.org) is a FP6 Specific Support Action (three years, 2005-2007) coordinated by VITO and implemented with JRC/GVM and MEDIAS-France. Project partners are the VEGETATION Programme, EUMETSAT and the PUMA network. The general objective of VGT4Africa is to take benefit of the above-mentioned assets to ensure distribution in the framework of the GMES (Global Monitoring and Environmental Security), through the EUMETCAST system and the PUMA receiving stations, of advanced products beyond the standard VEGETATION catalogue to the user community in support to sustainable development policies in Africa, such as AMESD (African Monitoring of the Environment for Sustainable Development). One of the added value biophysical products that the VGT4Africa project will distribute is the fraction of vegetation cover (fCover), which is a key parameter for many environmental studies. EOLAB provides technical assistance to MEDIAS-France in the VGT4Africa project related to the prototyping of the fCover product based on the evaluation of existing surface reflectance (Level 3A) and fCover (Level 3B) algorithms applied to VEGETATION data. Two operational processing lines for fCover retrieval developed in the framework of the CYCLOPES and Geosuccess have been evaluated. First, a new temporal module developed for accomplishing the near real-time VGT4Africa requirements, the CYCLOPES Real-Time v1.0, is validated against the classical Level 3A CYCLOPES module. Secondly, the improvements in the fCover product when using the CYCLOPES Real-Time instead the S10 reflectance data in the Geosuccess processing line are demonstrated. Finally, the two Level 3B fCover algorithms are evaluated using the CYCLOPES Real-Time module and a final prototyping algorithm based on the combination of both operational algorithms is proposed.
Multi-Temporal Analysis Using Noaa-Pathfinder Avhrr Land Imagery for the Study of the Land Cover Dynamic in the Mediterranean Basin
Analysis of Multi-Temporal Remote Sensing Images - Proceedings of the First International Workshop on Multitemp 2001, 2002
... LAND COVER DYNAMIC IN THE MEDITERRANEAN BASIN JA SOBRINO, J. CUENCA, J. EL KHARRAZ, M. GOMEZ,... more ... LAND COVER DYNAMIC IN THE MEDITERRANEAN BASIN JA SOBRINO, J. CUENCA, J. EL KHARRAZ, M. GOMEZ, JC JIMENEZ, N. RAISSOUNI, and ... In order to estimate the Q parameter, different types of vegetated structures: legume, vineyard, orange grove and forest have ...
– In this work we show the GEA prototype (an environmental information manager) in order to asses... more – In this work we show the GEA prototype (an environmental information manager) in order to assess water deficits over the irrigated crops of large areas. The proposed solution consists of evapotranspiration and water deficit estimations from remote sensing and agrometeorological information. The designed prototype is composed of three modules: (i) a geostatistical module, which generates precipitation and reference evapotranspiration maps from measurements collected in agrometeorological stations; (ii) an image processing module, which processes remote sensing images (Landsat) in order to derive canopy parameters and real evapotranspiration following the "two-steps" FAO method, where the crop coefficient is obtained from remote sensing data and an empirical relationship proposed by the Instituto de Desarrollo Regional IDR of the Universidad de Castilla-La Mancha; and (iii) a module which uses information technologies to develop the GEA on-line application, which allows th...
One of the major problems in the monitoring of tropical rainforests using satellite imagery is th... more One of the major problems in the monitoring of tropical rainforests using satellite imagery is their persistent cloud coverage. The use of daily observations derived from high temporal resolution sensors, such as Moderate Resolution Imaging Spectroradiometer (MODIS), could potentially help to mitigate this issue, increasing the number of clear-sky observations. However, the cloud contamination effect should be removed from these results in order to provide a reliable description of these forests. In this study the available MODIS Land Surface Temperature (LST) products have been reprocessed over the Amazon Basin (10 N–20 S, 80 W–45 W) by introducing different cloud masking schemes. The monthly LST datasets can be used for the monitoring of thermal anomalies over the Amazon forests and the analysis of spatial patterns of warming events at higher spatial resolutions than other climatic datasets.
En: XI Congreso Nacional de Teledetección, Teledetección, Avances en la Observación de la Tierra,... more En: XI Congreso Nacional de Teledetección, Teledetección, Avances en la Observación de la Tierra, M. Arbelo, A. González, J.C. Pérez (Eds.), pág.: 53-56, Tenerife, 21-23/9/2005. El sensor hiperespectral AHS (Airborrne Hyperspectal Scanner)fue utilizado para obtener imágenesde 2.5 m de resolución espacial en el espectro visible, infrarrojo cercano y térmico en una parcela de olivar en Córdoba (España) con el fin de estudiar la variabilidad espacial y temporal del estrés hídrico. Los datos térmicos del AHS permitieron obtener imágenes detemperatura de superficie de la parcela a las 7:30,9:30 y 12:30 GMTel 25 de julio de 2004. El diseño experimental en bloques aleatorios consistió en aplicar tres dosis diferentes de riego durante julio, agosto y septiembre, realizando medidas semanales de potencial hídrico, fotosíntesis y conductancia para estudiar los efectos del estrés hídrico en el cultivo. Los sensores de infrarrojo IRT permitieron la realización de medidas continuas de temperatura...
In this paper we present a LST product obtained from Advanced Along-Track Scanning Radiometer (AA... more In this paper we present a LST product obtained from Advanced Along-Track Scanning Radiometer (AATSR) data. The product has been validated with in situ measurements carried out in the framework of the CarboEurope-Flex-Sentinel-2 (CEFLES2) campaign. In addition the paper present a comparison between the proposed product and the LST retrieved from different
IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2003
Land surface temperature is an important key for environmental studies like energy balances and c... more Land surface temperature is an important key for environmental studies like energy balances and climate models. As is well-known, to retrieve land surface temperature from remotely sensed data, land surface emissivities are needed due to the non-deterministic nature of the temperature/emissivity separation from thermal infrared measurments: if the thermal radiation is measured in N spectral bands, there will be N+1 unknowns (N emissivities and a single surface temperature). In this paper, two methods to estimate land surface emissivity from the Digital Airborne Imaging Spectrometer (DAIS) sensor are considered: the Temperature/Emissivity Separation method (TES) developed by Gillespie et al.
Land surface temperature estimation and monitoring within the framework of CEOP-AEGIS project
The CEOP-AEGIS (Coordinated Asia-European long-term Observing system of Qinghai-Tibet Plateau hyd... more The CEOP-AEGIS (Coordinated Asia-European long-term Observing system of Qinghai-Tibet Plateau hydro-meteorological processes and the Asian-monsoon systEm with Ground satellite Image data and numerical Simulations) project focuses on the water cycle on the Tibet Plateau and its surroundings. This region provides water to half of the human kind, and the understanding of its water cycle is therefore of utmost importance in the light of global warming. A key element in the study of the water cycle is the Land Surface Temperature (LST) since it characterizes the evapo-transpiration regime of the vegetation. To that end, LST retrieval algorithms were developed and adapted for the estimation of LST from various sensors: ERS (European Remote Sensing satellite)/ATSR2 (Along Track Scanning Radiometer), ENVISAT (Environmental Satellite)/AATSR (Advanced Along-Track Scanning Radiometer), TERRA/MODIS (MODerate resolution Imaging Spectroradiometer), AQUA/MODIS, NOAA-07 (National Oceanic and Atmosp...
La teledetección térmica proporciona información de gran interés acerca de los procesos que ocurr... more La teledetección térmica proporciona información de gran interés acerca de los procesos que ocurren en la superficie de nuestro planeta. En concreto, las imágenes térmicas a media y alta resolución permiten realizar distintos estudios medioambientales, como por ejemplo la estimación de la evapotranspiración a partir de la ecuación de balance energético, de gran aplicación en una problemática tan actual como es la gestión de los recursos hídricos. En este sentido, el lanzamiento en 1982 del sensor Thematic Mapper (TM) a bordo de la plataforma Landsat-4 y su posterior continuación en 1984 con el lanzamiento de la plataforma Landsat-5, actualmente operativa, ha permitido a los usuarios disponer de una base histórica de más de 25 años de imágenes térmicas a 120 metros de resolución espacial. La plataforma Landsat-7, puesta en órbita en 1999 con el sensor Enhanced Thematic Mapper plus (ETM+), incrementó la resolución espacial de las imágenes térmicas a 60 metros, si bien debido a un fallo técnico del sensor su uso está muy limitado. El presente trabajo se centra en la estimación de la Temperatura de la Superficie Terrestre (TST), que es la principal variable a obtener cuando se trabaja con datos medidos en el infrarrojo térmico. El trabajo presenta los distintos algoritmos que ABSTRACT Thermal remote sensing provides useful information of surface processes occurring in our planet. In particular, thermal imagery at medium and high spatial resolution is useful in many environmental studies, such as evapotranspiration estimation from the energy balance equation, which is a key parameter when working in water resources management. In this sense, the launch in 1982 of the Thematic Mapper (TM) sensor on board the Landsat-4 platform and its continuity in 1984 with the launch of Landsat-5 platform, currently operative, have provided the users with thermal imagery at 120 meters spatial resolution for more than 25 years. In addition, the launch in 1999 of the Enhanced Thematic Mapper plus (ETM+) on board the platform Landsat-7 have provided thermal imagery at 60 meters spatial resolution, despite that its use is limited due to a technical failure in the sensor. This paper focuses on the Land Surface Temperature (LST) retrieval, which is the main variable to be extracted when working with thermal infrared data. The paper shows the different algorithms that can be used to retrieve this parameter from Landsat data, highlighting those ones which allow an operational retrieval using approaches of atmospheric parameters only versus water vapor content as well as water vapor and air temperature.
Different activities related to thermal remote sensing were carried out in April 2008 and May 201... more Different activities related to thermal remote sensing were carried out in April 2008 and May 2010 at the Doñana Biological Reserve (RBD) in the framework of the HYDRA project, focused on the study of marshals flooding dynamics. These activities included collection of in situ measurements with spectroradiometers working in the visible and near infrared spectral range and broadband (8-13 µm) and multiband thermal radiometers, as well as the acquisition of high resolution images from the Airborne Hyperspectral Scanner (AHS) sensor operated by the Instituto Nacional de Técnica Aeroespacial (INTA). During May 2010 two thermal radiometers were placed on fixed towers in order to continuously collect daily temperature values for imagery calibration and validation provided by medium and low resolution sensors onboard Earth Observation satellites. This work shows results obtained in the radiometric characterization of natural surfaces located in the RBD through reflectivity and emissivity spectra, as well as AHS derived products of Land Surface Temperature and Emissivity.
Land Surface Temperature retrieval from Sentinel 2 and 3 Missions: a conceptual framework
ABSTRACT Land Surface Temperature (LST) is one of the key parameters in the physics of land-surfa... more ABSTRACT Land Surface Temperature (LST) is one of the key parameters in the physics of land-surface processes on regional and global scales, combining the results of all the surface-atmosphere interactions and energy fluxes between the surface and the atmosphere. Because of the strong heterogeneity in land surface characteristics such as vegetation, topography and soil physical properties, LST changes rapidly in space as well as in time. An adequate characterization of LST distribution and its temporal evolution, therefore, requires measurements with detailed spatial and temporal frequencies. With the advent of the ESA's Sentinel 2 and 3 series of satellites a unique opportunity exists to go beyond the current state of the art of single instrument algorithms. In this work we explore the synergistic use of future MSI instrument on board Sentinel-2 platform and OLCI/SLSTR instruments on board Sentinel-3 platform in order to improve LST products currently derived from the single AATSR instrument on board the ENVISAT satellite. For this purpose, the high spatial resolution data from Sentinel2/MSI will be used for a good characterization of the land surface sub-pixel heterogeneity, in particular for a precise parameterization of surface emissivity using a land cover map and spectral mixture techniques. On the other hand, the high spectral resolution of OLCI instrument, suitable for a better characterization of the atmosphere, along with the dual-view available in the SLTSR instrument, will allow a better atmospheric correction through improved aerosol/water vapor content retrievals and the implementation of novel cloud screening procedures. Effective emissivity and atmospheric corrections will allow accurate LST retrievals using the SLTSR thermal bands by developing a synergistic split-window/dual-angle algorithm. ENVISAT MERIS and AATSR instruments and different high spatial resolution data (Landsat/TM, Proba/CHRIS, Terra/ASTER) will be used as a benchmark for the future OLCI, SLTSR and MSI instruments. Results will be validated using ground data collected in the framework of different field campaigns organized by ESA.
We present an analysis of the laboratory reflectance and emissivity spectra of 11 soil samples co... more We present an analysis of the laboratory reflectance and emissivity spectra of 11 soil samples collected on different field campaigns carried out over a diverse suite of test sites in Europe, North Africa, and South America from 2002 to 2008. Hemispherical reflectance spectra were measured from 2.0 to 14 microm with a Fourier transform infrared spectrometer, and x-ray diffraction analysis (XRD) was used to determine the mineralogical phases of the soil samples. Emissivity spectra were obtained from the hemispherical reflectance measurements using Kirchhoff's law and compared with in situ radiance measurements obtained with a CIMEL Electronique CE312-2 thermal radiometer and converted to emissivity using the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) temperature and emissivity separation algorithm. The CIMEL has five narrow bands at approximately the same positions as the ASTER. Results show a root mean square error typically below 0.015 between labora...
El objetivo principal de este artículo es desarrollar un algoritmo operacional para la estimación... more El objetivo principal de este artículo es desarrollar un algoritmo operacional para la estimación de la Temperatura de la Superficie Terrestre (TST) usando los canales del visible y del infrarrojo térmico del sensor Spinning Enhanced Visible and Infrared Imager (SEVIRI) instalado a bordo del segundo satélite de la serie Meteosat Second Generation (MSG2, también conocido como Meteosat 9). El algoritmo esta basado en el método Split-Window y utiliza dos canales del infrarrojo térmico (IR10.8 e IR12.0). Se ha utilizado el código de transferencia radiativa MODTRAN 4.0 para obtener los coeficientes numéricos del algoritmo propuesto. Los resultados muestran que el algoritmo es capaz de estimar la TST con una desviación estándar de 0.7 K y con un Error Cuadrático Medio (ECM) de 1.3 K, para un ángulo cenital de observación inferior a 50º. El algoritmo se ha aplicado a una serie de imágenes MSG2 adquiridas con un sistema de recepción de datos MSG instalado en el Laboratorio de Procesamiento de Imágenes (IPL: Imaging Processing Laboratory) de la Universidad de Valencia. El producto TST se ha validado a partir de datos in situ obtenidos durante la cam-
The VGT4Africa project (http://www.vgt4africa.org) is a FP6 Specific Support Action (three years,... more The VGT4Africa project (http://www.vgt4africa.org) is a FP6 Specific Support Action (three years, 2005-2007) coordinated by VITO and implemented with JRC/GVM and MEDIAS-France. Project partners are the VEGETATION Programme, EUMETSAT and the PUMA network. The general objective of VGT4Africa is to take benefit of the above-mentioned assets to ensure distribution in the framework of the GMES (Global Monitoring and Environmental Security), through the EUMETCAST system and the PUMA receiving stations, of advanced products beyond the standard VEGETATION catalogue to the user community in support to sustainable development policies in Africa, such as AMESD (African Monitoring of the Environment for Sustainable Development). One of the added value biophysical products that the VGT4Africa project will distribute is the fraction of vegetation cover (fCover), which is a key parameter for many environmental studies. EOLAB provides technical assistance to MEDIAS-France in the VGT4Africa project related to the prototyping of the fCover product based on the evaluation of existing surface reflectance (Level 3A) and fCover (Level 3B) algorithms applied to VEGETATION data. Two operational processing lines for fCover retrieval developed in the framework of the CYCLOPES and Geosuccess have been evaluated. First, a new temporal module developed for accomplishing the near real-time VGT4Africa requirements, the CYCLOPES Real-Time v1.0, is validated against the classical Level 3A CYCLOPES module. Secondly, the improvements in the fCover product when using the CYCLOPES Real-Time instead the S10 reflectance data in the Geosuccess processing line are demonstrated. Finally, the two Level 3B fCover algorithms are evaluated using the CYCLOPES Real-Time module and a final prototyping algorithm based on the combination of both operational algorithms is proposed.
Multi-Temporal Analysis Using Noaa-Pathfinder Avhrr Land Imagery for the Study of the Land Cover Dynamic in the Mediterranean Basin
Analysis of Multi-Temporal Remote Sensing Images - Proceedings of the First International Workshop on Multitemp 2001, 2002
... LAND COVER DYNAMIC IN THE MEDITERRANEAN BASIN JA SOBRINO, J. CUENCA, J. EL KHARRAZ, M. GOMEZ,... more ... LAND COVER DYNAMIC IN THE MEDITERRANEAN BASIN JA SOBRINO, J. CUENCA, J. EL KHARRAZ, M. GOMEZ, JC JIMENEZ, N. RAISSOUNI, and ... In order to estimate the Q parameter, different types of vegetated structures: legume, vineyard, orange grove and forest have ...
– In this work we show the GEA prototype (an environmental information manager) in order to asses... more – In this work we show the GEA prototype (an environmental information manager) in order to assess water deficits over the irrigated crops of large areas. The proposed solution consists of evapotranspiration and water deficit estimations from remote sensing and agrometeorological information. The designed prototype is composed of three modules: (i) a geostatistical module, which generates precipitation and reference evapotranspiration maps from measurements collected in agrometeorological stations; (ii) an image processing module, which processes remote sensing images (Landsat) in order to derive canopy parameters and real evapotranspiration following the "two-steps" FAO method, where the crop coefficient is obtained from remote sensing data and an empirical relationship proposed by the Instituto de Desarrollo Regional IDR of the Universidad de Castilla-La Mancha; and (iii) a module which uses information technologies to develop the GEA on-line application, which allows th...
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Papers by Juan-Carlos Jimenez-Munoz