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Article

Monitoring Landform Changes in a Mining Area in Mexico Using Geomatic Techniques

by
Saúl Dávila-Cisneros
1,*,
Ana G. Castañeda-Miranda
2,
Carlos Francisco Bautista-Capetillo
3,
Erick Dante Mattos-Villarroel
3,
Víktor Iván Rodríguez-Abdalá
2,
Cruz Octavio Robles Rovelo
3,
Laura Alejandra Pinedo-Torres
4,
Alejandro Rodríguez-Trejo
5 and
Salvador Ibarra-Delgado
2
1
Unidad Académica de Ingeniería I, Universidad Autónoma de Zacatecas, Av. Ramón López Velarde No. 801, Col. Centro, Zacatecas C.P. 98060, Mexico
2
Posgrado en Ingeniería para la Innovación Tecnológica, Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Zacatecas C.P. 98160, Mexico
3
Doctorado en Ciencias de la Ingeniería, Universidad Autónoma de Zacatecas, Campus UAZ Siglo XXI, Carretera Zacatecas-Guadalajara Km. 6, Ejido La Escondida C.P. 98160, Mexico
4
Unidad Profesional Interdisciplinaria de Ingeniería, Campus Zacatecas, Instituto Politécnico Nacional, Blvd. del Bote 202, Col. Ciudad Administrativa, Ejido La Escondida, Zacatecas C.P. 98160, Mexico
5
Laboratorio de Paleomagnetismo, Instituto de Geociencias, Universidad Nacional Autónoma de México (UNAM), Campus Juriquilla, Boulevard Juriquilla 3001, Juriquilla, Querétaro C.P. 76230, Mexico
*
Author to whom correspondence should be addressed.
Geomatics 2025, 5(4), 63; https://doi.org/10.3390/geomatics5040063 (registering DOI)
Submission received: 26 September 2025 / Revised: 5 November 2025 / Accepted: 11 November 2025 / Published: 13 November 2025

Abstract

Mining activities are conducted to extract valuable minerals from the Earth, which are used to manufacture many objects. However, these operations generate landform alterations, such as deep excavations, artificial embankments, and landscape reshaping. In this study, landform changes were monitored in a mining area in Mazapil, Zacatecas, Mexico, using geomatic techniques. Multitemporal Landsat satellite images and digital elevation models (DEMs) from different years were used to detect and quantify landform alterations and estimate the volumes of removed material. The results show ground depressions greater than −333 m and waste material accumulations greater than +152 m, with an average standard deviation of ±3.6 m. A total excavation volume of 413.524 million m3 and a total fill volume of 431.194 million m3 were quantified, with an estimated standard deviation of ±810 m3. The proposed methodology proved effective for the remote quantification of large-scale relief disturbances in open-pit mining areas. It can also be used for environmental monitoring and hydrological risk assessment in active and inactive mining areas.
Keywords: mining; landform; remote sensing; GIS; environmental monitoring mining; landform; remote sensing; GIS; environmental monitoring

Share and Cite

MDPI and ACS Style

Dávila-Cisneros, S.; Castañeda-Miranda, A.G.; Bautista-Capetillo, C.F.; Mattos-Villarroel, E.D.; Rodríguez-Abdalá, V.I.; Robles Rovelo, C.O.; Pinedo-Torres, L.A.; Rodríguez-Trejo, A.; Ibarra-Delgado, S. Monitoring Landform Changes in a Mining Area in Mexico Using Geomatic Techniques. Geomatics 2025, 5, 63. https://doi.org/10.3390/geomatics5040063

AMA Style

Dávila-Cisneros S, Castañeda-Miranda AG, Bautista-Capetillo CF, Mattos-Villarroel ED, Rodríguez-Abdalá VI, Robles Rovelo CO, Pinedo-Torres LA, Rodríguez-Trejo A, Ibarra-Delgado S. Monitoring Landform Changes in a Mining Area in Mexico Using Geomatic Techniques. Geomatics. 2025; 5(4):63. https://doi.org/10.3390/geomatics5040063

Chicago/Turabian Style

Dávila-Cisneros, Saúl, Ana G. Castañeda-Miranda, Carlos Francisco Bautista-Capetillo, Erick Dante Mattos-Villarroel, Víktor Iván Rodríguez-Abdalá, Cruz Octavio Robles Rovelo, Laura Alejandra Pinedo-Torres, Alejandro Rodríguez-Trejo, and Salvador Ibarra-Delgado. 2025. "Monitoring Landform Changes in a Mining Area in Mexico Using Geomatic Techniques" Geomatics 5, no. 4: 63. https://doi.org/10.3390/geomatics5040063

APA Style

Dávila-Cisneros, S., Castañeda-Miranda, A. G., Bautista-Capetillo, C. F., Mattos-Villarroel, E. D., Rodríguez-Abdalá, V. I., Robles Rovelo, C. O., Pinedo-Torres, L. A., Rodríguez-Trejo, A., & Ibarra-Delgado, S. (2025). Monitoring Landform Changes in a Mining Area in Mexico Using Geomatic Techniques. Geomatics, 5(4), 63. https://doi.org/10.3390/geomatics5040063

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