{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,6]],"date-time":"2026-09-06T05:15:32Z","timestamp":1788671732870,"version":"build-2803163510"},"reference-count":45,"publisher":"MDPI AG","issue":"17","license":[{"start":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T00:00:00Z","timestamp":1788480000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100015594","name":"Swiss Polar Institute","doi-asserted-by":"crossref","award":["SPI Technogrant TEG-2021-003: ERT-PERM"],"award-info":[{"award-number":["SPI Technogrant TEG-2021-003: ERT-PERM"]}],"id":[{"id":"10.13039\/501100015594","id-type":"DOI","asserted-by":"crossref"}]},{"award":["SPI Technogrant TEG-2021-003: ERT-PERM"],"award-info":[{"award-number":["SPI Technogrant TEG-2021-003: ERT-PERM"]}],"id":[{"id":"https:\/\/ror.org\/02z9ca723","id-type":"ROR","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009131","name":"Swiss Agency for Development and Cooperation","doi-asserted-by":"publisher","award":["81072443"],"award-info":[{"award-number":["81072443"]}],"id":[{"id":"10.13039\/100009131","id-type":"DOI","asserted-by":"publisher"}]},{"award":["81072443"],"award-info":[{"award-number":["81072443"]}],"id":[{"id":"https:\/\/ror.org\/02e5d6q93","id-type":"ROR","asserted-by":"publisher"}]},{"DOI":"10.13039\/100011150","name":"Global Environment Facility","doi-asserted-by":"crossref","award":["4500484501"],"award-info":[{"award-number":["4500484501"]}],"id":[{"id":"10.13039\/100011150","id-type":"DOI","asserted-by":"crossref"}]},{"award":["4500484501"],"award-info":[{"award-number":["4500484501"]}],"id":[{"id":"https:\/\/ror.org\/006xm7s91","id-type":"ROR","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Continuous monitoring of permafrost dynamics remains challenging in remote high-mountain environments due to logistical constraints, harsh climatic conditions, and the limited availability of spatially distributed observations. In addition to direct temperature observations in boreholes, Autonomous Electrical Resistivity Tomography (A-ERT) offers significant potential for long-term monitoring by providing high temporal resolution observations of subsurface electrical properties, which are highly sensitive to freeze\/thaw processes. This study presents the field validation of a low-power A-ERT system designed for long-term autonomous operation in extreme environments. The system was deployed at a high-altitude permafrost site near the Kumtor gold mine in the Central Tien Shan, Kyrgyzstan, representing the first application of continuous A-ERT monitoring in the Central Asian mountain ranges. The system operated continuously under harsh environmental conditions with air temperatures as low as \u221230 \u00b0C. Data quality remained consistently high throughout the monitoring period, with less than 1% of measurements removed during filtering, and inversion results with root-mean-square errors generally ranging between 3% and 4%. Time-lapse resistivity observations revealed strong seasonal freeze\u2013thaw dynamics within the active layer and continued seasonal resistivity variations within the underlying permafrost despite permanently frozen conditions. Analysis of depth-dependent resistivity\u2013temperature relationships revealed increasingly pronounced hysteresis behavior below the active layer, indicating that subsurface electrical properties were not controlled solely by temperature. This behavior likely reflects variations in unfrozen water content and pore connectivity within the fine-grained permafrost, where liquid water can persist at sub-zero temperatures. The results demonstrate the capability of the A-ERT system for reliable long-term autonomous monitoring in remote permafrost environments and investigation of coupled thermal and hydrological processes in permafrost systems.<\/jats:p>","DOI":"10.3390\/s26175621","type":"journal-article","created":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T17:25:56Z","timestamp":1788542756000},"page":"5621","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Automated Electrical Resistivity Tomography for Continuous Monitoring of Permafrost Dynamics: First Field Application and Validation in Central Asia"],"prefix":"10.3390","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9549-7344","authenticated-orcid":false,"given":"Mohammad","family":"Farzamian","sequence":"first","affiliation":[{"name":"Instituto Nacional de Investiga\u00e7\u00e3o Agr\u00e1ria e Veterin\u00e1ria, 2780-157 Oeiras, 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