Assessment of Landsat-8 and Sentinel-2 Water Indices: A Case Study in the Southwest of the Buenos Aires Province (Argentina)

Author:

Santecchia Guillermina Soledad12ORCID,Revollo Sarmiento Gisela Noelia34,Genchi Sibila Andrea56ORCID,Vitale Alejandro José567,Delrieux Claudio Augusto17ORCID

Affiliation:

1. Instituto de Ciencias e Ingeniería de la Computación, Universidad Nacional del Sur (UNS)-CONICET, San Andrés 800, Campus Altos del Palihue, Bahía Blanca 8000, Argentina

2. Departamento de Ingeniería, Universidad Nacional del Sur UNS, Av. Além 1253, Bahía Blanca 8000, Argentina

3. Instituto de Ecorregiones Andinas, Universidad Nacional de Jujuy (UNJU)-CONICET, Canónigo Gorriti 237, San Salvador de Jujuy 4600, Argentina

4. Facultad de Ingeniería, Universidad Nacional de Jujuy UNJU, Ítalo Palanca 10, San Salvador de Jujuy 4600, Argentina

5. Instituto Argentino de Oceanografía (UNS)-CONICET, Florida 8000, Bahía Blanca 8000, Argentina

6. Departamento de Geografía y Turismo, Universidad Nacional del Sur UNS, 12 de Octubre y San Juan, Bahía Blanca 8000, Argentina

7. Departamento de Ingeniería Eléctrica y de Computadoras, UNS, San Andrés 800, Campus Altos del Palihue, Bahía Blanca 8000, Argentina

Abstract

The accuracy assessment of three different Normalized Difference Water indices (NDWIs) was performed in La Salada, a typical lake in the Pampean region. Data were gathered during April 2019, a period in which floods occurred in a large area in the Southwest of the Buenos Aires Province (Argentina). The accuracy of the estimations using spaceborne medium-resolution multi-spectral imaging and the reliability of three NDWIs to highlight shallow water features in satellite images were evaluated using a high-resolution airbone imagery as ground truth. We show that these indices computed using Landsat-8 and Sentinel-2 imagery are only loosely correlated to the actual flooded area in shallow waters. Indeed, NDWI values vary significantly depending on the satellite mission used and the type of index computed.

Funder

CONICET

Universidad Nacional del Sur

Agencia Nacional de Promoción Científica y Tecnológica

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging

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