Application Of Remote Sensing In Environmental Studies: A Theoretical Review

Authors

  • Johnny Félix Farfán- PIMENTEL Universidad César Vallejo, Peru
  • Raul Delgado- ARENAS Universidad César Vallejo, Peru
  • Shigueki Martín Shimizu SANTILLÁN Universidad Nacional de Cajamarca, Peru
  • Patricia Edith Guillén APARICIO Universidad de San Martin de Porres, Peru
  • Diana Eulogia Farfán PIMENTEL Universidad Nacional Federico Villarreal, Peru

DOI:

https://doi.org/10.38142/ijesss.v3i1.198

Keywords:

Remote sensing, sensor systems, technological applications, environmental sustainability

Abstract

The present research aims to perform a descriptive analysis of remote sensing and its applications in the various fields of human knowledge; although scientific and technological progress has indeed shown to reach an important development in the dynamics of natural and anthropic processes, which allows understanding their effects fully; thus, on that basis, multiple studies are conducted in the fields of spatial sciences, agriculture, geology, edaphology, oceanography, risk and disaster prevention, mining exploration, among others. Thus, this area of knowledge offers great potential for strategic planning, decision-making, and the development of environmental projects considering biodiversity and environmental sustainability. Consequently, remote sensing offers many possibilities for scientists and researchers to broaden their field of action and become familiar with the photo-interpretation of satellite images, which is very necessary for scientific work today. In the methodological part, documentary information, research works, scientific articles and environmental development projects supported the research developed. he research is of non-experimental design, descriptive design; in which a literature review was carried out in terms of remote sensing and its applications in environmental studies. The research results allowed us to obtain information on Remote Sensing in: Agriculture and soil conservation. Remote sensing has enormous potential for its application through concurrent disciplines that serve as a basis for decision making, as in the case of the agricultural sector.

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References

Aguilar-Rivera, N. (2015). Remote sensing as a tool for agricultural competitiveness. Mexican Journal of Agricultural Sciences. 6(2), 399-405. Retrieved from: http://www.scielo.org.mx/pdf/remexca/v6n2/v6n2a14.pdf

Ancira-Sánchez, L. and E.J. Treviño G. 2015. Use of satellite imagery in forest management in northeastern Mexico. Madera y Bosques 21(1):77-91. Retrieved from: https://myb.ojs.inecol.mx/index.php/myb/article/download/434/593?inline=1

Calzada-Iglesias, E.O. (2016). Application of remote sensing for the Study of Areas with Geothermal Potential. La Soledad (Jalisco) and Los Negritos (Michoacán). (Master's thesis in Geomatics). Jorge L. Tamayo" Center for Research in Geography and Geomatics. Retrieved from: https://centrogeo.repositorioinstitucional.mx/jspui/bitstream/1012/149/1/05-2016-Tesis-

Edgar%20Omar%20Calzada%20Iglesias-Maestro%20en%20Geom%C3%A1tica.pdf

Caneleo-Perez, P.A.. (2010). Remote sensing of satellite images. Universidad de Magallanes. The Republic of Chile. Retrieved from: http://www.umag.cl/biblioteca/tesis/caneleo_perez_2010.pdf

Chuvieco, E. (1995). Fundamentals of spatial remote sensing. Madrid, Spain: Ed.

Chuvieco, E. (2008). Teledetección ambiental. Barcelona: Ariel S. A

Cosme-Felix, M.M.. (2020). Satellite image processing to characterize mining soil behavior in Peru. (Master's thesis). Universidad Nacional Mayor de San Marcos. Retrieved from: https://cybertesis.unmsm.edu.pe/bitstream/handle/20.500.12672/15383/Cosme_fm.pdf?sequence= 1&isAllowed=y

Doña, C., Sánchez, J., Caselles, V., Domínguez, J. and Camacho A. (2014). Empirical Relationships for Monitoring Water Quality of Lakes and Reservoirs Through Multispectral Images. IEEE Journal of selected topics in applied earth observation and remote sensing, 7(5), 1632-1641. https://ieeexplore.ieee.org/document/6730928

Lara-Peña, C.C. (2009). Spatio-temporal variability of phytoplankton in the Chiloé Inland Sea: an approach based on spatial statistics. Universidad Austral de Chile. Retrieved from: http://cybertesis.uach.cl/tesis/uach/2009/fcl318v/doc/fcl318v.pdf

Lillesand T, R Kiefer. 2000. Remote sensing and image interpretation. Editorial Mexico, D.F.

Lira-Chávez, J. (2021). Remote sensing. National Autonomous University of Mexico. ISBN: 9798701138160.

Marzialetti, P.A. (2012). Monitoring of oil spills in water bodies using remote sensing techniques. National University of Córdoba. Retrieved from:https://ig.conae.unc.edu.ar/wp- content/uploads/sites/68/2017/08/2009_Marzialetti-Pablo.pdf

Murillo-Sandoval, P.J. and Carbonell-Gonzalez, J.A.. (2012). Principles and applications of remote sensing in sugarcane cultivation in Colombia. Colciencias. Republic of Colombia. Retrieved from:https://www.cenicana.org/pdf_privado/documentos_no_seriados/libro_percepcion_remota/principios-y-aplicaciones_percepcion-remota.pdf

Organization for Economic Cooperation and Development. (1982). Eutrophisation des Eaux. Methodes de surveillance, d'evaluation et de lute.

Ormeño-Villajos, S. (1993). Fundamental remote sensing. Universidad Politécnica de Madrid. Spain

Pineda-Pastrana, O. (2011). Analysis of land-use change by remote sensing in the municipality of Valle de Santiago. Retrieved from: https://centrogeo.repositorioinstitucional.mx/jspui/bitstream/1012/41/1/21-2011-Tesis- Pineda%20Pastrana%2C%20Oliva-Maestra%20en%20Geom%C3%A1tica.pdf

Rivas E., Díaz, Y., Borruel, G. and Perovan, J. (2009). Principles and components of a phytosanitary surveillance system. Temas de Ciencia y Tecnología; 13(38), 39-48.

Staub, G. & Bähr, H.P. (2014). Potential of remote sensing - study based on natural disasters occurred during the last 5 years in Chile. BCG - Boletim de Ciências Geodésicas. 20(1), 204-221 http://dx.doi.org/10.1590/S1982-21702014000100013 Retrieved from: https://www.scielo.br/j/bcg/a/QbpJbMWrKPGdwzXMmySKVSS/?lang=es

Veneros, J., García, L., Morales, E., Gómez, V., Torres, M. and López-Morales, F. (2020). Application of remote sensing for the analysis of vegetation cover and water bodies. IDESIA 38 (4); 99-107. Retrieved from: https://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718- 34292020000400099&lng=pt&nrm=i.p

Villegas-Vega, H. (2008). Introduction to remote sensing and its geological applications. Colombian Institute of Geology and Mining. Recuperado de:https://recordcenter.sgc.gov.co/B12/23008002524448/documento/pdf/2105244481102000.pdf

Yoder, B. J. & Pettigrew-Crosby, R. E. (1995). Predicting nitrogen and chlorophyll content and concentrations from reflectance spectra (400- 2500 nm) at leaf and canopy scales. Remote Sens. Environ. 53(3): 199- 211.

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Published

2022-03-31