Semestral Journal of Centro Argentino de Meteorólogos, which is published  since 1970 and serves on the Core of Argentine Scientific Journals since 2005. Meteorologica publishes original papers in the field of atmospheric sciences and oceanography.

Registration number of intellectual property: 2023-95212445-APN-DNDA#MJ

ISSN 1850-468X

Volume 47 N 2 (december 2022) MORE NOTES FROM THIS ISSUE

IDENTIFICATION AND MONITORING OF WATERLOGGED AREAS IN A PRODUCTIVE REGION OF ARGENTINA USING LANDSAT INFORMATION

Lucía Cappelletti et al.
https://doi.org/10.24215/1850468Xe014

ABSTRACT

The monitoring of flooded and waterlogged areas is essential for the Argentinean
Pampas, an extensive flat region of high agricultural, livestock and industrial
productivity. Areas within the Argentinean Pampas have experienced a rise of
Dirección Electrónica: lucia.cappelletti@cima.fcen.uba.ar
1Identification and monitoring of waterlogged areas the water table in recent years, a key factor contributing to the development and
persistence of flooding. The monitoring of these extreme environmental events
is essential for long-term objectives, e.g. increasing knowledge to model and
predict the occurrence and evolution of extreme events; as well as for short-term
objectives, e.g. to provide producers potential field management options in a flood
emergency. Therefore, the main objective of this work is to develop a simple
method for monitoring affected areas, using accessible tools. A 160 km 2 region of
southeastern Córdoba for which data on water table height and daily precipitation
are available, was chosen as a study site. To determine the flooded areas of the
site, 18 Landsat-8/OLI images from September 2019 – April 2021 were used. On
each of these images, pixels were labeled according to three categories: Open
Water, Mixed-Water and Non-Water by applying unsupervised classification of
the mNDWI and NDWI water indices. Despite the lack of scenes due to cloud
cover the scenes may suffer, the Open Water category, and to a lower degree the
Mixed-Water category, are able to capture the changes in the water table height
due to precipitation.