SciELO - Scientific Electronic Library Online

vol.30 número4Evaluation of the Main Physical and Chemical Water Quality Parameters for Tilapia Production índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados




  • No hay articulos citadosCitado por SciELO

Links relacionados

  • No hay articulos similaresSimilares en SciELO


Revista Ciencias Técnicas Agropecuarias

versión On-line ISSN 2071-0054


GARCIA-REYES, Roberto Alejandro; GONZALEZ POSADA-DACOSTA, Mario Damian; VILLAZON-GOMEZ, Juan Alejandro  y  RODRIGUEZ-RODRIGUEZ, Sergio. Estimation of the electrical conductivity of the soil from spectral information in the cultivation of rice (Oryza sativa L.). Rev Cie Téc Agr [online]. 2021, vol.30, n.4, e01.  Epub 01-Dic-2021. ISSN 2071-0054.

The salinity of the soil constitutes today one of the main degradation processes that affects the lands under irrigation; and especially the production of rice. The objective of the research was to estimate the electrical conductivity of the soil by means of spectral information in the cultivation of rice in the Mayarí municipality, Holguín. The research was developed on a Chromic Vertisol, which are the most prone in the territory to trigger degradation processes such as salinity, given by management practices in rice cultivation. Two semi-empirical models proposed from different spectral indices were used, the NDSI and the IS, which were calculated in the QGis 3.10 software with multispectral images from the Landsat 8 OLI / TIRS sensor. The NDSI and the SI-ASTER showed the lowest determination and negative correlation in both models. The SI and the SI-ASTER produce an overestimation of the electrical conductivity values ​​of the soil (EC ≥ 100%), the NDSI, SSSI.1 and SSSI.2 indicate a moderate content of salts in the soil (EC 20% ˂ EC ≤ 40%). Although the use of spectral salinity indices yielded a high determination, the SI and the SI-ASTER indicated an overestimation of the electrical conductivity existing in the soil, which could be due to the presence of a saturation of the signal captured by the sensor and reflected in the indices obtained, which exceeded the values ​​in which the saline index oscillates.

Palabras clave : Saline Index; Salinity; Remote Sensing.

        · resumen en Español     · texto en Español | Inglés     · Inglés ( pdf )