Aplicação de Sensoriamento Remoto na análise das mudanças da vegetação de campos de altitude no Pantanal usando dados multitemporais Landsat. e2321497

• Published in: Terr@ plural Vol. 17; p. e2321497
• Main Authors: Dhonatan Diego Pessi, Normandes Matos da Silva, Camila Leonardo Mioto, Domingos Sávio Barbosa, Rodrigo Martins Moreira, Mateus Antonio Gums Gomes, Alfredo Marcelo Grigio, Vinicius de Oliveira Ribeiro, Marco Antonio Diodato, Antonio Conceição Paranhos Filho
• Format: Journal Article
• Language: English
• Published: Universidade Estadual de Ponta Grossa 01.04.2023
• Subjects: conservation; ecosystem monitoring; mountainous vegetation; natural habitats
• ISSN: 1982-095X
• DOI: 10.5212/TerraPlural.v.17.2321497.003

Due to the cold climate and altitude, to identify trends in the dynamic vegetation and the main factors that contribute to changes in vegetation cover in grassland areas is essential to understand climate change in mountainous regions. Landsat-8 OLI and Landsat-1 MSS images from 1973 to 2022 of Morraria do Urucum and Serra do Amolar were pre-processed in the GEE cloud platform and QGIS. The resampling method per pixel in the scale of values defined for vegetation Campos de Altitude was used to show changes in vegetation cover and its dynamics through the NDVI index. In both study areas, a continuous trend of significant reduction of vegetation in highland grasslands was observed over 50 years. The average decrease was 49% for Urucum (less 2,164 hectares) and 43% for Amolar (less 3,959 hectares). The use of GHG to obtain remote sensing data combined with temporal image analysis offers the potential to quickly perceive trends in large-and small-scale vegetation cover change