The Master in Remote Sensing was created under Decree number 1216-A dated January 7, 2011, has a professional orientation, with an academic, scientific and technological focus. It is accredited for the period 2019-2026 in the six criteria considered by the National Accreditation Commission (CNA): conceptual definition, institutional context, characteristics and results of the program, academic body, support resources and self-regulatory capacity.

Aimed at professionals in earth sciences linked to the planning, management and monitoring of natural resources and the environment, land-use planning, and who hold the academic degree or equivalent professional title in level. These include: geophysicists, geographers, geologists, geomensors, geomatics, topographers, photogrammetry specialists, biologists, cartographers, agronomists, forest engineers, environmental, systems and communications engineers.

The academic programs were designed to provide students the scientific understanding and let them acquire the technical skills necessary to process a wide range of remotely sensed data from airborne and satellite sensors.

The program has the following competitive advantages:

a). The only programme in the national environment.

b). Academics with national and international recognition.

c). It has an intermediate output that is "Diploma in Management of Satellite Images", which is granted to students of the program once approved the curriculum of the first and second semester.

d). The students who obtain the academic degree of Master in Remote Sensing will be able to opt for the research period of the Doctorate in Geomatic Engineering of the Universitat Politècnica de València (Spain), by means of a current agreement that both institutions have from 2015 to date.

e). Students with academic excellence have the possibility of doing internships with some of our international associates.

f). Students can carry out their research projects with public and private institutions, with which we have agreements in force.

Program Director: PhD© Idania Briceño /

Academic Coordinator: PhD© Waldo Pérez Martínez /

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Curricular Contents Master in Remote Sensing:

Peer-Review Journals - Postgraduate Thesis

Delsouc, A., Barber, M., Gallaud, A., Grings, F., Vidal-Páez, P., Pérez-Martínez, W. and Briceño-De-Urbaneja, I. (2020). Seasonality Analysis of Sentinel-1 and ALOS-2/PALSAR-2 Backscattered Power over Salar de Aguas Calientes Sur, Chile. Remote Sensing, 12(6), 941 [doi:10.3390/rs12060941].

Payacán, S., Alfaro, F.D., Pérez-Martínez, W., Briceño-de-Urbaneja, I. (2019). Potential distribution model of Leontochir ovallei using remote sensing data. Revista de Teledetección, 54, 59-69 [].

Briceño-De-Urbaneja, I., Pérez-Martínez, W., San Miguel, D. & Ramos, S. (2018). Determination of water quality Vichuquén Lake, using satellite images Landsat 8, sensor OLI, year 2016, Chile. Revista de Teledetección, (52), 67-78 [doi:10.4995/raet.2018. 10126].

Medina, N., Vidal-Páez, P., Cifuentes, R., Torralba, J. & Keusch, F. (2018). Evaluation of the health status of Araucaria araucana trees using hyperspectral images. Revista de Teledetección, (52), 41-53 [doi: 10.4995/raet.2018.10916].

Vidal-Páez, P., De Santis, Á., Pérez-Martínez, W. & Honeyman, P. (2017). Use of remote sensing tools for severity analysis and greenhouse gases estimation in large forest fires. Case study of La Rufina forest fire, VI Region of L. G. B. O´Higgins, Chile. Revista de Teledetección, (50), 59-69 [doi: 10.4995/raet.2017.8987].

Barrientos, C., Mattar, C., Nakos, T. & Pérez-Martínez, W. (2016). Radiometric Cross-Calibration of the Chilean Satellite FASat-C Using RapidEye and EO-1 Hyperion Data and a Simultaneous Nadir Overpass Approach. Remote Sensing, 8(7), 612. [doi: 10.3390/rs8070612].


Barrientos, C., Mattar, C., Nakos, T. & Pérez-Martínez, W. (2016). Update of the absolute calibration parameters of FASat-Charlie using RapidEye. GSICS Global Space-based Inter-Calibration System, 10(3), 3-5, Dec. [doi:10.7289/V5PC30DM].