Imágenes radar sentinel 1 en la diferenciación de áreas de cultivo de arroz en la cuenca baja del Río Guayas

Gustavo Fernando  Sevillano Vásquez; María  Yumbla Orbes; Sebastián Ricardo  Arico Ortiz; David Antonio  Vásquez Camacho

Authors

Gustavo Fernando Sevillano Vásquez
María Yumbla Orbes
Sebastián Ricardo Arico Ortiz
David Antonio Vásquez Camacho

Keywords:

geoinformation, image processing, multitemporal, radar, rice.

Abstract

This study was the result of the Phase 6 Seed research project of the Formative Research Commission (CIF), Unit of the Research Directorate of the Central University of Ecuador. It was carried out in the lower basin of the Guayas River in Ecuador. The use of a Synthetic Aperture Radar (SAR) of the Sentinel 1 images for the detection of phases and phenological states of the rice crop was evaluated. For this, space-time data cubes were generated from the satellite images between the dates 2019-06-01 and 2020-03-20 with the VV, VH and VV-VH polarizations. For radiometric generation and corrections, the Google Earth Engine API was used. Rice crop areas were monitored in situ with orthophotos. The phases and phenological stages of the rice crop were interpreted. Finally, the averages of the square root of the backscatter amplitude of the polarizations in the interpreted areas in the orthophoto were analyzed using the LSD mean differentiation test. With this, it was concluded that the VV-VH, VV and VH polarization of the Sentinel 1 radar images differentiate the phenological phases of rice cultivation in the lower basin of the Guayas River, but do not differentiate the phenological stages.

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