Precicción de sismos a través de información remótamente percibida: Posible?
There is research which suggest that earthquakes could be predicted by non-traditional methods. For such purposes, the alternatives being explored range from, the monitoring of the behavior of some sensitive terrestrial and aquatic animal species, to the monitoring of regional changes in the electromagnetic spectrum through advanced remote sensing techniques. In the case of animal species, the approaches vary from the relatively simple, yet interesting, investigation of the higher sensitivity of domestic species to minor ground vibrations (e.g., browse for Prof. Mitsuaki Ota, Azabu University), to more advanced approaches that suggest that stressed rocks release electrical charges that alter the chemistry of water (e.g., Grant et al., 2011). The use of remote sensing techniques is related to the latter suggestion, based on the idea that the amount of energy released during tectonic displacements should alter the electromagnetic spectrum for some days before the occurrence of a major event (see the review by Alvan et al., 2011).
There is research which suggest that earthquakes could be predicted by non-traditional methods. For such purposes, the alternatives being explored range from, the monitoring of the behavior of some sensitive terrestrial and aquatic animal species, to the monitoring of regional changes in the electromagnetic spectrum through advanced remote sensing techniques. In the case of animal species, the approaches vary from the relatively simple, yet interesting, investigation of the higher sensitivity of domestic species to minor ground vibrations (e.g., browse for Prof. Mitsuaki Ota, Azabu University), to more advanced approaches that suggest that stressed rocks release electrical charges that alter the chemistry of water (e.g., Grant et al., 2011). The use of remote sensing techniques is related to the latter suggestion, based on the idea that the amount of energy released during tectonic displacements should alter the electromagnetic spectrum for some days before the occurrence of a major event (see the review by Alvan et al., 2011).
