2026
Remote Sensors and Geotechnologies Applied to Agriculture
Name: Remote Sensors and Geotechnologies Applied to Agriculture
Code: ERU16242O
3 ECTS
Duration: 15 weeks/78 hours
Scientific Area:
Rural Engineering
Teaching languages: Portuguese
Languages of tutoring support: Portuguese
Sustainable Development Goals
Learning Goals
Generic goal ? acquisition of theoretical concepts and applications of remote sensor application (GNSS, GIS and DR) in agriculture.
The student shall acquire knowledge, skills and skills (at agricultural portion level): 1. In field handling of GNSS (Smart soil surges and sampling, plants, etc.); 2. In geographic information technologies and have the ability to integrate spatial data into different formats; 3. In the application of spatial analysis functions that a GIS provides, from the perspective of supporting agronomic decision-making; 4. In the use of structured and map-algebra search languages.
In the application of several remote sensing techniques to different scales for terrestrial surface analysis, namely to interpret and identify morphological and texture characteristics in the plant cover and estimate parameters at the vegetative vigour level.
The student shall acquire knowledge, skills and skills (at agricultural portion level): 1. In field handling of GNSS (Smart soil surges and sampling, plants, etc.); 2. In geographic information technologies and have the ability to integrate spatial data into different formats; 3. In the application of spatial analysis functions that a GIS provides, from the perspective of supporting agronomic decision-making; 4. In the use of structured and map-algebra search languages.
In the application of several remote sensing techniques to different scales for terrestrial surface analysis, namely to interpret and identify morphological and texture characteristics in the plant cover and estimate parameters at the vegetative vigour level.
Contents
1) Theoretical concepts of GNSS operation, positioning types, error correction, and agricultural applications. 2) GIS techniques: design and structuring of spatial databases as reality models; data models; database visualization and querying; reclassification, dissolving, merging; topological overlay; structured query languages; map algebra. 3) Satellite/UAV/drone image analysis and processing: classification; vegetation index calculation and analysis; multitemporal analysis. 4) Estimation of agricultural parameters using remote sensing, GIS, and digital image processing. 5) Practical work: creating a geographic database at plot level, deriving multiple variables for agronomic decision-making, and crop monitoring via a precision agriculture platform.
Teaching Methods
Distance work: Theoretical Component (T) - presentation of fundamental theoretical concepts through resources made available, Zoom platform or equivalent, Moodle platform (lessons, miscellaneous texts, PowerPoint presentations, Internet pages, etc). Student work will be guided by specific goals to be achieved in the different programmatic content. Collaborative work activities will also be developed in Moodle and on other platforms.
Face-person work: Theoretical-Practice Component (TP) ? these skills will be acquired in person in the classroom. The practical component will be based on the application of the theoretical concepts and techniques, through resolution of exercises using specific programs and technologies.
Face-person work: Theoretical-Practice Component (TP) ? these skills will be acquired in person in the classroom. The practical component will be based on the application of the theoretical concepts and techniques, through resolution of exercises using specific programs and technologies.
Assessment
Assessment: 60% theoretical+practical (T+P) assessment + 40% practice work (TP). The approval with a minimum grade of 9.5 (20-value scale) at each assessment time (T+P and TP). Evaluation by examination for students who did not obtain approval in the ongoing assessment.
Teaching Staff (2025/2026 )
- Adélia Maria Oliveira Sousa [responsible]
- José Rafael Marques da Silva
