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Uso do Google Earth engine para deteção de potenciais desmatamentos Lábrea/am
| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 21.88 MB | Adobe PDF |
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Abstract(s)
O geoprocessamento é uma ferramenta essencial na Engenharia Civil, desempenhando um papel crucial
na coleta, análise e interpretação de dados geoespaciais para o planeamento e execução de projetos. O
uso dessa ferramenta também pode contribuir para estudos de desmatação. O ano de 2022 teve um
aumento significativo de 22,3% no número de alertas de desmatação no Brasil em comparação com o ano
anterior, resultando na identificação, validação e refinados de um total de 76.193 alertas. Este aumento
alarmante destaca a urgência de um monitoramento ambiental eficaz e proactivo para promover ações
concretas no controle da desmatação, preservando os recursos naturais preciosos do país. Nesse
contexto, o presente trabalho almeja demonstrar o potencial do Google Earth Engine como uma
ferramenta fundamental para a coleta e análise de dados relacionados a desmatação. Foi desenvolvido
um script, por meio da plataforma do Google Earth Engine, com o intuito de extrair imagens provenientes
do satélite Landsat 8 e realizar a classificação supervisionada de áreas suscetíveis a desmatação na cidade
de Lábrea, situada no estado do Amazonas. Os resultados derivados da classificação supervisionada foram
submetidos a uma análise e comparados com os dados provenientes da plataforma Mapbiomas Alertas.
Essa abordagem permitiu constatar que o Google Earth Engine, empregando em grande parte algoritmos
de Inteligência Artificial, oferece resultados confiáveis, mesmo mostrando diferenças em sua comparação
com o Mapbiomas Alertas.
Geoprocessing is an essential tool in Civil Engineering, playing a crucial role in the collection, analysis and interpretation of geospatial data for project planning and execution. The use of this tool can also contribute to deforestation studies. The year 2022 had a significant 22.3% increase in the number of deforestation alerts in Brazil compared to the previous year, resulting in the identification, validation, and refined of a total of 76,193 alerts. This alarming increase highlights the urgency of effective and proactive environmental monitoring to promote concrete actions to control deforestation, preserving the country's precious natural resources. In this context, this work aims to demonstrate the potential of Google Earth Engine as a fundamental tool for collecting and analyzing data related to deforestation. A script was developed, using the Google Earth Engine platform, with the aim of extracting images from the Landsat 8 satellite and carrying out the supervised classification of areas susceptible to deforestation in the city of Lábrea, located in the state of Amazonas. The results derived from the supervised classification were subjected to an analysis and compared with data from the Mapbiomas Alertas platform. This approach allowed to verify that Google Earth Engine, largely employing Artificial Intelligence algorithms, offers reliable results, even showing differences in its comparison with Mapbiomas Alertas.
Geoprocessing is an essential tool in Civil Engineering, playing a crucial role in the collection, analysis and interpretation of geospatial data for project planning and execution. The use of this tool can also contribute to deforestation studies. The year 2022 had a significant 22.3% increase in the number of deforestation alerts in Brazil compared to the previous year, resulting in the identification, validation, and refined of a total of 76,193 alerts. This alarming increase highlights the urgency of effective and proactive environmental monitoring to promote concrete actions to control deforestation, preserving the country's precious natural resources. In this context, this work aims to demonstrate the potential of Google Earth Engine as a fundamental tool for collecting and analyzing data related to deforestation. A script was developed, using the Google Earth Engine platform, with the aim of extracting images from the Landsat 8 satellite and carrying out the supervised classification of areas susceptible to deforestation in the city of Lábrea, located in the state of Amazonas. The results derived from the supervised classification were subjected to an analysis and compared with data from the Mapbiomas Alertas platform. This approach allowed to verify that Google Earth Engine, largely employing Artificial Intelligence algorithms, offers reliable results, even showing differences in its comparison with Mapbiomas Alertas.
Description
Keywords
Google Earth engine Desmatação Classificação supervisionada Deforestation Supervised classification