| Grant number: | 14/05033-7 |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| Effective date (Start): | November 01, 2014 |
| Effective date (End): | October 31, 2017 |
| Field of knowledge: | Physical Sciences and Mathematics - Geosciences - Geodesy |
| Principal Investigator: | Antonio Maria Garcia Tommaselli |
| Grantee: | Adilson Berveglieri |
| Host Institution: | Faculdade de Ciências e Tecnologia (FCT). Universidade Estadual Paulista (UNESP). Campus de Presidente Prudente. Presidente Prudente , SP, Brazil |
Abstract In recent years, the reduction of biodiversity is one of the most important issues. There is the need for mapping information in large scale and monitoring of environmental change to conduct conservation actions. For this project, the study sites are reforestation areas of the Atlantic Forest in the west region of São Paulo. Radiometric and geometric information should be acquired from these areas to generate time series. Hyperspectral and LASER sensors connected with GPS and inertial systems will be mounted on lightweight Unmanned Aerial Vehicle (UAV). The hyperspectral frame camera system will collected multiple images of the objects to be used in photogrammetric block triangulation. To ensure the quality of direct orientation data and to generate accurate products, the project proposes an approach of integrated sensor orientation for data treatment provided by direct georeferencing. Various problems encompassing internal and external geometry of the images should be overcome, such as the use and integration of new types of sensors, instability of the imaging system as well as the radiometric response of the vegetation, which is typically a homogeneous surface that complicates the image matching. Experiments will be conducted in reforestation ecological corridors. The assessment of the integrated orientation will be performed based on analyses of discrepancies from check points, which should be surveyed in field with GPS receiver. As a result, photogrammetric products will be generated for aerial monitoring and decision making, e.g., orthomosaics, surface digital models and thematic maps. | |
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