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

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2019 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2019 - Conference Proceedings
EditorsMonica Andrea Rico Martinez
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728147468
DOIs
StatePublished - Oct 2019
Event2019 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2019 - 5th International Conference on Innovation and Trends in Engineering, CONIITI 2019 - Bogota, Colombia
Duration: 2 Oct 20194 Oct 2019

Publication series

Name2019 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2019 - Conference Proceedings

Conference

Conference2019 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2019 - 5th International Conference on Innovation and Trends in Engineering, CONIITI 2019
CountryColombia
CityBogota
Period2/10/194/10/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

  • ENVI
  • electric conductivity
  • salinity
  • satellite images

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