Delimitação da área de reservatório de água utilizando técnicas de sensoriamento remoto no semiárido do Brasil

Debora Natália Oliveira de Almeida; Diêgo Cezar dos Santos Araújo; Débora Rodrigues Soares; Francisco Marcelo de Alencar Maia; Suzana Maria Gico Lima Montenegro; Sylvana Melo dos Santos; Leidjane Maria Maciel de Oliveira

doi:10.5327/Z2176-94781524

Authors

Debora Natália Oliveira de Almeida Universidade Federal de Pernambuco (UFPE) - Brazil https://orcid.org/0000-0001-6000-6138
Diêgo Cezar dos Santos Araújo Universidade Federal de Pernambuco (UFPE) - Brazil https://orcid.org/0000-0002-8969-260X
Débora Rodrigues Soares Universidade Federal de Pernambuco (UFPE) - Brazil https://orcid.org/0000-0003-1287-9297
Francisco Marcelo de Alencar Maia Universidade Federal de Pernambuco (UFPE) - Brazil https://orcid.org/0000-0001-5217-1555
Suzana Maria Gico Lima Montenegro Universidade Federal de Pernambuco (UFPE) - Brazil https://orcid.org/0000-0002-2520-5761
Sylvana Melo dos Santos Universidade Federal de Pernambuco (UFPE) - Brazil https://orcid.org/0000-0003-3106-5301
Leidjane Maria Maciel de Oliveira Universidade Federal de Pernambuco (UFPE) - Brazil https://orcid.org/0000-0003-1251-6998

DOI:

https://doi.org/10.5327/Z2176-94781524

Keywords:

geoprocessing; multispectral images; modified normalized difference water index.

Abstract

Remote sensing techniques are of fundamental importance to investigate the changes occurred in the terrestrial mosaic over the years and contribute to the decision-making by increasing efficient environmental and water management. This article aimed to detect, demarcate and quantify the hydric area of Poço da Cruz reservoir, located in Ibimirim, Pernambuco, semiarid region of Brazil, with modeling based on Landsat 8/OLI satellite multispectral images from 2015 to 2020, and to relate it with data from the Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) satellites average rainfall. For this purpose, the Modified Normalized Difference Water Index (MNDWI) was modeled, being produced georeferenced theme maps and extracted only the pixels represented by positive spectral values, which represent water targets. The open-access software Quantum Geographic Information System (QGIS, version 2.18.16) was used for all stages of digital image processing and connection with complementary databases on the theme maps elaboration. In the results, changes in the spatial distribution of Poço da Cruz were evidenced and analyzed using precipitation data from the CHIRPS product, allowing a better understanding of the rainfall behavior in the region and its influence. The MNDWI was lined with the CHIRPS product, in which the spatial correlation between the rainy event and the water area’s delimitation is documented, especially in October 2017 (minimum values) and October 2020 (maximum values).

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