Land-Use and Land-Cover Change Analysis
A.Y. 2024/2025
Learning objectives
The analysis of land-use and land-cover changes is one of the fundamental phases in the design, monitoring and evaluation of agro-environmental interventions at landscape-scale. In the design phase, this analysis is essential to understand the socio-ecological context and the landscape history, to plan the acquisition of qualitative and quantitative data in the field, and to develop scenario and decision support models. In the monitoring and evaluation phase, it is a valuable approach to understand the level of implementation of interventions and their medium to long term effectiveness.
The Laboratory aims to introduce the principles of land-use and land-cover change analysis and its applications in land planning and management, as well as to support students in acquiring practical skills and competencies on the management and processing of geospatial data (remotely sensed and from other sources) to conduct the analysis independently. The class includes the development and the discussion of practical case studies.
The Laboratory aims to introduce the principles of land-use and land-cover change analysis and its applications in land planning and management, as well as to support students in acquiring practical skills and competencies on the management and processing of geospatial data (remotely sensed and from other sources) to conduct the analysis independently. The class includes the development and the discussion of practical case studies.
Expected learning outcomes
At the end of the course, the student will be able to:
1. Evaluate which tools and methods to use for land-use and land-cover analysis according to the objectives of the study.
2. Identify data sources (remote sensing satellite data, geospatial data, literature) to conduct the analyses.
3. Process the data in an open-source GIS environment and/or on cloud platforms such as Google Earth Engine.
4. Interpret and discuss analytical results in relation to their usefulness in spatial planning and development cooperation projects
1. Evaluate which tools and methods to use for land-use and land-cover analysis according to the objectives of the study.
2. Identify data sources (remote sensing satellite data, geospatial data, literature) to conduct the analyses.
3. Process the data in an open-source GIS environment and/or on cloud platforms such as Google Earth Engine.
4. Interpret and discuss analytical results in relation to their usefulness in spatial planning and development cooperation projects
Lesson period: Second semester
Assessment methods: Giudizio di approvazione
Assessment result: superato/non superato
Single course
This course can be attended as a single course.
Course syllabus and organization
Single session
Responsible
Lesson period
Second semester
Course syllabus
Unit 1: principles and applications of land-use and land-cover analysis. Global relevance and practical applications in the context of cooperation for development projects.
Unit 2: remote sensing (satellite) and geospatial data sources. Image processing and classification methods, change detection methods, accuracy assessment.
Unit 3: guided case studies selected by students.
Unit 2: remote sensing (satellite) and geospatial data sources. Image processing and classification methods, change detection methods, accuracy assessment.
Unit 3: guided case studies selected by students.
Prerequisites for admission
Basic knowledge of Geographic Information Systems (GIS) and Remote Sensing.
Teaching methods
The class combines a limited number of hours of passive teaching with active learning, practicals and project/group-based learning.
Teaching Resources
Slides, readings/videos/websites and bibliography that will be regularly shared during the course
Assessment methods and Criteria
Written report describing the student's practical project (context and objectives, methods, results and discussion). The report will be discussed orally.
Students with SLD or disability certifications are kindly requested to contact the teacher at least 15 days before the date of the exam session to agree on individual exam requirements. In the email please make sure to add in cc the competent offices: [email protected] (for students with SLD) o [email protected] (for students with disability).
Students with SLD or disability certifications are kindly requested to contact the teacher at least 15 days before the date of the exam session to agree on individual exam requirements. In the email please make sure to add in cc the competent offices: [email protected] (for students with SLD) o [email protected] (for students with disability).
AGR/02 - AGRONOMY AND FIELD CROPS - University credits: 3
Lessons: 24 hours
Professor:
Fava Francesco Pietro
Professor(s)
Reception:
please send me an e-mail
Department of Environmental Science and Policy (ESP), Via Celoria 10, Milano