Credit hours
In-class work per week |
Practice per week |
Credits |
Duration |
Total |
2 |
2 |
8 |
15 weeks |
120 hours |
Instructor
Ana Claudia dos Santos Luciano Vicente
Peterson Ricardo Fiorio
Objective
Present and discuss the technique of remote sensing through its physical foundations. Study the characteristics of different levels of collection of remote sensing data (laboratory, field, aircraft and satellite) as well as their integration. Improve the ability in getting radiometric measurements in the field and laboratory. Improve the ability of interpretation and remote sensing image analysis. Also present the potential of the application of remote sensing in survey and management of agricultural and forestry resources.
Content
1. Introduction to Remote Sensing and its importance in agricultural, forestry and environmental areas;
2. Concepts, brief history and literature;
3. Physical principles of remote sensing;
4. Sensors, products and data acquisition levels;
5. Introduction to the spectral optical radiometry;
6. Spectral behavior: vegetation; soil; and other targets;
7. Principles of aerial photography and photo-interpretation;
8. Landsat and CBERS systems: history, sensors and products;
9. Other remote sensing systems (SPOT, RADARSAT, RAPID EYE, IKONOS etc.);
10. Visual analysis (interpretation) of satellite images;
11. Digital analysis of satellite data;
12. Applications of remote sensing in (a) land use/land cover; (b) agriculture; and (c) forest sciences.
Bibliography
Os alunos serão qualificados nos seguintes conceitos: A (Excelente com direito a crédito), B (Bom com direito a crédito), C ( Regular com direito a crédito), R (Reprovado sem direito a crédito) ou T (Aprovado em disciplina fora da USP), conforme estabelecido no artigo 67 da Resolução 7493, de 27/03/2018.
A avaliação será realizada por meio de provas e trabalhos sobre o conteúdo programático.