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
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...
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...
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
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...
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...
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