Analysis Land Use and Land Cover of the Municipality of Itarema-Ceará- Brazil based on Landsat Multispectral Data

• Autor(a) principal: Nascimento Neto, Jose Nelson do
• Data de Publicação: 2023
• Outros Autores: Uchoa, Elenilton Bezerra
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Anuário do Instituto de Geociências (Online)
• Texto Completo: https://revistas.ufrj.br/index.php/aigeo/article/view/52684
• topic: Remote Sensing; Semiarid; Landscape

This work investigated the process of land use and land cover in the municipality of Itarema. It is located in the geographic coordinates of Latitude (S) 2º 55’ 13” and Longitude (W) 39º 54’ 54” in the northern region of the state of Ceará, with an area of 720.7 km² in the semi-arid region. The objective of this study was to analyze the changes in land use and land cover in the municipality of Itarema for the period from 2000 to 2020, from Landsat 5 and 8 series orbital remote sensing data to evaluate the evolutionary behavior of the landscape. The methodology used was the literary review in (Leite & Rosa 2012) and IBGE Land Use Technician Manual (2013). Technical procedures related to orbital images from the Landsat 5 and 8 series recorded respectively 2000 and 2020 were applied. Imaging treatment was performed with preprocessing and spectral bands, B5 - Medium infrared, B4 - Near infrared and B2 - Green was processed for Landsat 5 and B6 - SWIR-1, B5 - Near infrared and B4 - Red for Landsat 8 in ENVI 4.3. The classification supervised in the Semi-Automatic Plug-in was performed by the MAX-VER method and seven types of use were considered. The results point to a significant change in the typology of dense vegetation  from 52.84% in 2000 to a reduction of 25.71% in 2020, followed by the increase in degraded areas from 7.47% in 2000 to 16.03% in 2020. Final considerations, we highlight the importance of remote sensing in observations of landscape evolution and in the interpretation of the typology of use. We identified significant changes in the classes of degraded areas and dense vegetation, both associated supported by the change in the PIB  profile of the municipality.