Supervised geoprocessing and classification of satellite images acquired via Google Earth Engine

• Grant number: 25/07955-3
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: September 01, 2025
• End date: August 31, 2026
• Field of knowledge: Interdisciplinary Subjects
• Principal Investigator: Camila Lorenz
• Grantee: Amanda Gonçalves de Jesus
• Host Institution: Instituto Butantan. Secretaria da Saúde (São Paulo - Estado). São Paulo , SP, Brazil
• Associated research grant: 22/13367-9 - Spatial relationships among mosquitoes (Diptera: Culicidae), arboviruses and communities in the State of São Paulo: an analysis from the One Health perspective, AP.JP

Abstract

Google Earth Engine is a multi-petabyte catalog of satellite images and geospatial data sets that allows users to quickly and easily view, manipulate, edit, and create spatial data. This study aims to use geoprocessing techniques and spatial algorithms to supervisedly classify images obtained for rural, urban, and wild areas of ten selected municipalities in the state of São Paulo. Images from different satellites and sensors will be used free of charge and available through Google Earth Engine. High-resolution images such as those from the LandSat-8 and Sentinel-3 satellites, which are suitable for identifying targets in urban areas, will be prioritized. Once the images have been classified using a cluster sampling scheme (each object in the image is a cluster), visits will be made to the study areas to collect samples in order to validate the classification process. (AU)