SciELO - Scientific Electronic Library Online

 
vol.45 número4Estudio de la influencia del uso del suelo en las relaciones entre variables físico-químicas a través de análisis de redesEstudio de las comunidades microbianas de suelos agrícolas orgánicos y convencionales lusitanos mediante análisis de ácidos grasos fosfolípidos índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

  • No hay articulos similaresSimilares en SciELO

Compartir


Revista de Ciências Agrárias

versión impresa ISSN 0871-018Xversión On-line ISSN 2183-041X

Resumen

RAMOS, Mario et al. Assessing soil salinity with electrical conductivity and NDVI in the B-XII irrigation district, Lebrija (Sevilla). Rev. de Ciências Agrárias [online]. 2022, vol.45, n.4, pp.61-70.  Epub 01-Dic-2022. ISSN 0871-018X.  https://doi.org/10.19084/rca.28377.

A method is proposed to estimate soil salinity and its relationship with NDVI at the plot scale. Soil apparent electrical conductivity (ECa) was measured with an electromagnetic induction sensor (EMI) at a commercial plot in the B-XII irrigation district, Lebrija (Seville). Bi- and three-dimensional images of soil electrical conductivity (EC) were obtained using inversion. Estimated EC showed strong relationships with soil salinity indicators (R2>70%), allowing the estimation of these indicators from the EC images. The methodology and the obtained results were evaluated using historical NDVI imagery obtained during 7 cropping seasons and allowed us to monitor the effect of soil salinity on crop development. The identification of areas where sudden soil salinization occurs, with negative effects on crop development, is relevant for informing soil, water and the crop management decision-making.

Palabras clave : electrical conductivity; soil moisture; salinity; spectral response of crops; remote sensing.

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