Satellite evidence for persistent degradation in Brazil's desertification nuclei

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Authors: Alanderson Firmino de Lucas, Marcos Vinícius da Silva, Alexandre Maniçoba da Rosa Ferraz Jardim, Luciana Sandra Bastos de Souza, Gabriel Thales Barboza Marinho, Lady Daiane Costa de Sousa Martins, João Emanoel Ambrósio Gomes, Gledson Luiz Pontes de Almeida, Jhon Lennon Bezerra da Silva, Wilma Roberta dos Santos, Wagner Martins dos Santos, Elania Freire da Silva
+5 more Carlos André Alves de Souza, José Francisco da Cruz Neto, Ênio Farias de França e Silva, Xuguang Tang, Thieres George Freire da Silva
Cited by: 1
References: 72

Abstract

Desertification is a major global environmental challenge, driven by both human activities and climate variability, leading to the suppression of natural vegetation through agricultural and livestock expansion. This study aimed to (1) characterize desertification nuclei in Brazil using ecological indicators, (2) assess land use impacts, and (3) explore relationships with social and agrometeorological factors. Landsat imagery (1991, 2000, 2010, 2022) and TerraClimate data were examined alongside population and HDI statistics for six nuclei: Cabrobó, Gilbués, Inhamuns, Irauçuba, Jaguaribe, and Seridó. Results indicate that desertification advances even during rainiest years influenced by La Niña, and is intensified by droughts linked to El Niño. Exposed soils and pastures were consistently the most degraded land-use classes, particularly in Ceará, while agriculture and Caatinga areas were most affected in Cabrobó and Seridó. Gilbués and Seridó emerged as the most critical nuclei, with expansion driven by unsustainable agricultural frontiers and population pressure. Overall, findings highlight the urgent need for continuous monitoring and improved spectral indicators to better capture desertification dynamics and support mitigation strategies in Brazil’s semiarid region.

Fields of Study & Subjects

Remote Sensing in Agriculture Environmental and biological studies Geography and Environmental Studies

Publication details

Journal / source
Remote Sensing Applications Society and Environment
Publisher
Elsevier BV
Volume
41
Pages
101932–101932
Publication date
1 January 2026
Language
EN