Inferring soil's dynamic parameters using Electromagnetic instrument and time-lapse inversion algorithm

Autor: Mohammad Farzamian (1), Fernando A. Monteiro Santos (1), Maria Catarina Paz (1), Maria C. Gonçalves (2), Angelo Basil (3), Fethi Bouksila (4), Tarek Salim (5), Ana M. Paz (2), Nádia Castanheira (2), Antonio Coppola (6), Yaser Hamed (5), Roberto De mascellis (3), Giovanna Dragonetti (7), Ben Slimane A (4)

Publikováno v: EGU General Assembly 2018, Vienna, 08-13/04/2018
info:cnr-pdr/source/autori:Mohammad Farzamian (1), Fernando A. Monteiro Santos (1), Maria Catarina Paz (1), Maria C. Gonçalves (2), Angelo Basil (3), Fethi Bouksila (4), Tarek Salim (5), Ana M. Paz (2), Nádia Castanheira (2), Antonio Coppola (6), Yaser Hamed (5), Roberto De mascellis (3), Giovanna Dragonetti (7), and Ben Slimane A (4)/congresso_nome:EGU General Assembly 2018/congresso_luogo:Vienna/congresso_data:08-13%2F04%2F2018/anno:2018/pagina_da:/pagina_a:/intervallo_pagine

Recent research shows how soil information can be generated quickly and cheaply, by using a state-of-the-art electromagnetic (EM) instrument and the inversion method to generate high-resolution EM conductivity images (EMCI). EM instruments have the a

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https://publications.cnr.it/doc/396235