Bibliographic citations
Julcamoro, P., Julcamoro, V. (2018). Teledetección de áreas de interés prospectivo metálico usando imágenes aster y landsat oli-tirs en el distrito de Namora, Cajamarca [Tesis, Universidad Privada del Norte]. https://hdl.handle.net/11537/13780
Julcamoro, P., Julcamoro, V. Teledetección de áreas de interés prospectivo metálico usando imágenes aster y landsat oli-tirs en el distrito de Namora, Cajamarca [Tesis]. PE: Universidad Privada del Norte; 2018. https://hdl.handle.net/11537/13780
@misc{renati/519990,
title = "Teledetección de áreas de interés prospectivo metálico usando imágenes aster y landsat oli-tirs en el distrito de Namora, Cajamarca",
author = "Julcamoro Alcantara, Victor",
publisher = "Universidad Privada del Norte",
year = "2018"
}
ABSTRACT Peru is a country of ancient and rich mining tradition, therefore, it is of great importance the implementation of new prospecting techniques in order to obtain results in an objective and simplified manner, such as remote sensing, which is a technique economically profitable and covering large extensions of space-time, a technique that will be implemented in this research which has as main objective to identify areas of prospective interest from economically profitable sites, using remote sensing, using satellite images Aster and Landsat OLI - TIRS. In order to carry out the present investigation, the ASTER and Landsat satellite images of the study area with favorable atmospheric characteristics must be acquired, the atmospheric and radiometric correction is carried out in order to process all the reflectance information that the image has, then a resampling to homogenize spatial resolution at 15 meters pixel, consequently masking is done to filter all information that is unnecessary in the study and finally to perform the spectral analysis of the pure pixels of information that has both the ASTER image and the Landsat image. Obtaining thus areas with prospective interest with the presence of minerals such as: Calcite, Chaosmectite, Corundum, Quartz, Diasporum, Epidote, Illita, Muscovite, Tremolite-Actinolite, Tourmaline, evidencing the occurrence of mineral alterations such as propylitic, potassium and argillic according to the classification Leach mineral, 1998. Concluding that it is possible to identify areas of prospective interest from economically profitable fields, using remote sensing, using Aster and Landsat OLI - TIRS satellite images.
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