Early Detection of Saline Soils by Using Satellite Images in the Peruvian Province of Huaura

Martin M. Soto-Cordova, Luis Santa-Cruz-Arones

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

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Resumen

In the coastal areas of the province of Huaura, it has been found that 75% of its areas have increasing levels of salinity, leading to a decrease in the fertility of farmland, which harms the region since its economy is based on agricultural activities. This paper evaluates and determines the distribution of salinity, through a processing of satellite images obtained from Landsat 8 based on the main parameters of the saline soil; the electrical conductivity (CE) and with this result obtain which areas are optimal for the crop. It has been found that the correlation coefficient shows a normal and almost linear distribution with minimal discrepancy for validation, which can be considered acceptable for the estimated time. Concluding that this is an effective and low cost method for monitoring salinity of the lands of that region under study. and determining the optimal areas for cultivation.

Idioma originalInglés
Título de la publicación alojada2019 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2019 - Conference Proceedings
EditoresMonica Andrea Rico Martinez
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781728147468
DOI
EstadoPublicada - oct. 2019
Publicado de forma externa
Evento2019 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2019 - 5th International Conference on Innovation and Trends in Engineering, CONIITI 2019 - Bogota, Colombia
Duración: 2 oct. 20194 oct. 2019

Serie de la publicación

Nombre2019 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2019 - Conference Proceedings

Conferencia

Conferencia2019 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2019 - 5th International Conference on Innovation and Trends in Engineering, CONIITI 2019
País/TerritorioColombia
CiudadBogota
Período2/10/194/10/19

Nota bibliográfica

Publisher Copyright:
© 2019 IEEE.

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