4 research outputs found

    Landsat and local land surface temperatures in a heterogeneous terrain compared to MODIS values

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    Land Surface Temperature (LST) as provided by remote sensing onboard satellites is a key parameter for a number of applications in Earth System studies, such as numerical modelling or regional estimation of surface energy and water fluxes. In the case of Moderate Resolution Imaging Spectroradiometer (MODIS) onboard Terra or Aqua, pixels have resolutions near 1 km2 , LST values being an average of the real subpixel variability of LST, which can be significant for heterogeneous terrain. Here, we use Landsat 7 LST decametre-scale fields to evaluate the temporal and spatial variability at the kilometre scale and compare the resulting average values to those provided by MODIS for the same observation time, for the very heterogeneous Campus of the University of the Balearic Islands (Mallorca, Western Mediterranean), with an area of about 1 km2 , for a period between 2014 and 2016. Variations of LST between 10 and 20 K are often found at the sub-kilometre scale. In addition, MODIS values are compared to the ground truth for one point in the Campus, as obtained from a four-component net radiometer, and a bias of 3.2 K was found in addition to a Root Mean Square Error (RMSE) of 4.2 K. An indication of a more elaborated local measurement strategy in the Campus is given, using an array of radiometers distributed in the area

    Landsat and Local Land Surface Temperatures in a Heterogeneous Terrain Compared to MODIS Values

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    Land Surface Temperature (LST) as provided by remote sensing onboard satellites is a key parameter for a number of applications in Earth System studies, such as numerical modelling or regional estimation of surface energy and water fluxes. In the case of Moderate Resolution Imaging Spectroradiometer (MODIS) onboard Terra or Aqua, pixels have resolutions near 1 km 2 , LST values being an average of the real subpixel variability of LST, which can be significant for heterogeneous terrain. Here, we use Landsat 7 LST decametre-scale fields to evaluate the temporal and spatial variability at the kilometre scale and compare the resulting average values to those provided by MODIS for the same observation time, for the very heterogeneous Campus of the University of the Balearic Islands (Mallorca, Western Mediterranean), with an area of about 1 km 2 , for a period between 2014 and 2016. Variations of LST between 10 and 20 K are often found at the sub-kilometre scale. In addition, MODIS values are compared to the ground truth for one point in the Campus, as obtained from a four-component net radiometer, and a bias of 3.2 K was found in addition to a Root Mean Square Error (RMSE) of 4.2 K. An indication of a more elaborated local measurement strategy in the Campus is given, using an array of radiometers distributed in the area

    Infrarrojo termal en la prospección de fuentes hidrotermales en la región de Paipa-Iza, Boyacá

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    El objetivo principal de esta investigación es el análisis del infrarrojo termal para la identificación de fuentes hidrotermales en la región de Paipa-Iza, Boyacá. Las dos áreas de investigación se evaluaron mediante imágenes termales, captadas por los satélites Landsat. Sin embargo, para determinar nuevos sitios para la extracción de fluidos hidrotermales, estas imágenes fueron integradas con información secundaria. En el caso de Paipa, se implementó una metodología con lo que se definieron prospectos exploratorios. Mientras que en Iza, no fue posible aplicarla, solamente se determinaron seis anomalías con posible influencia geotérmica mediante la repetición espacial multi-temporalmente.Abstract: The main objective of this research is the thermal infrared analysis for the identification of hydrothermal resources in the Paipa - Iza, Boyacá region. To meet this objective, the two research areas were evaluated using thermal images, captured by the Landsat satellites. However, for the determination of new sites for the extraction of hydrothermal fluids, these images were integrated with secondary information. In the case of Paipa, a methodology was implemented with which exploratory prospects were defined.Maestrí
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