Geomatics in agriculture

A.Y. 2019/2020
Lesson for
8
Max ECTS
88
Overall hours
SSD
AGR/08 ICAR/06
Language
Italian
Learning objectives
Provide the basic knowledge on the methodologies to analyze, describe and model spatial data, in order to produce maps of soil and vegetation properties. To introduce through hand-on exercises and presentation of case studies, the mathematical and geostatistical tools necessary for describing the spatial variability and for validating the spatial correlation models.
To learn the fundamentals of physical principles of remote sensing and of vegetation spectral signatures. To know the available imageries for land monitoring and their application to support agro-practices.
To introduce to up-to-date methodologies in remote sensing to estimate vegetation parameters and the specific data handling in time-series analysis. To gain insight of possible use of remote sensed data in precision agriculture practice, through case studies and practical examples carried out with specific software tools.
Knowledge of the fundamental skills to describe, interpret and critically analyze spatial data, in order to produce thematic maps and to assess their accuracy. Ability to use of GIS and software for the analysis and the modeling of spatial data.
Basic knowledge on available platforms and relevant features of remote sensing systems. Ability to retrieve remote sensed data taken on agricultural areas, to identify the proper methodologies to get meaningful information to support agro-practices and to exploit them in decision support systems within precision agriculture workflows.

Course structure and Syllabus

Active edition
Yes
Responsible
Analisi della variabilità spaziale in agricoltura
AGR/08 - AGRICULTURAL HYDRAULICS AND WATERSHED PROTECTION - University credits: 0
ICAR/06 - SURVEYING AND MAPPING - University credits: 0
Computer room practicals: 16 hours
Practicals: 16 hours
Lessons: 16 hours
Telerilevamento per l'agricoltura
AGR/08 - AGRICULTURAL HYDRAULICS AND WATERSHED PROTECTION - University credits: 0
ICAR/06 - SURVEYING AND MAPPING - University credits: 0
Computer room practicals: 16 hours
Lessons: 24 hours
ATTENDING STUDENTS
Analisi della variabilità spaziale in agricoltura
Syllabus
The course consists of two parts, each of 2 CFU
The first introductory part presents the basic mathematical tools, useful in the second part of the course. In particular, the topics introduced in this first part are:
· brief summary of the main features for real functions of one real variable
· vectors, matrices: definitions, matrix algebra and its applications
· vector spaces and their applications: linear functions, time-varying vectors, vector fields, linear algebra and linear systems
· functions of two or more variables: definition, properties, possible display modes (graph, contour curves, chromatic maps), partial and directional derivatives and their use in applications, gradient and its applications, derivative test for unconstrained stationary points, Lagrange multiplier method for constrained maximum and minimum problems.
The second part of the course presents the tools of the statistical and geostatistical analysis to describe and model the spatial variability of quantities of agronomic interest (soil physical and hydrological parameters, crop parameters, etc.), and their applications to obtain the prescription maps for irrigation and fertilization. In particular, the following topics will be introduced:
· statistical and geostatistical analysis of a sample of spatially distributed data
· stationary properties of a quantity with spatial variability
· modeling the spatial variability using variograms
· interpolation of spatially distributed data to produce thematic maps and prescription maps
· applications in agriculture and presentation of some case studies
The theoretical concepts will be consolidated through activities carried out in the computer lab, during which dedicated software will be used to analyse and model spatial data (0.5 CFU).
NON-ATTENDING STUDENTS
Analisi della variabilità spaziale in agricoltura
Syllabus
The course consists of two parts, each of 2 CFU
The first introductory part presents the basic mathematical tools, useful in the second part of the course. In particular, the topics introduced in this first part are:
· brief summary of the main features for real functions of one real variable
· vectors, matrices: definitions, matrix algebra and its applications
· vector spaces and their applications: linear functions, time-varying vectors, vector fields, linear algebra and linear systems
· functions of two or more variables: definition, properties, possible display modes (graph, contour curves, chromatic maps), partial and directional derivatives and their use in applications, gradient and its applications, derivative test for unconstrained stationary points, Lagrange multiplier method for constrained maximum and minimum problems.
The second part of the course presents the tools of the statistical and geostatistical analysis to describe and model the spatial variability of quantities of agronomic interest (soil physical and hydrological parameters, crop parameters, etc.), and their applications to obtain the prescription maps for irrigation and fertilization. In particular, the following topics will be introduced:
· statistical and geostatistical analysis of a sample of spatially distributed data
· stationary properties of a quantity with spatial variability
· modeling the spatial variability using variograms
· interpolation of spatially distributed data to produce thematic maps and prescription maps
· applications in agriculture and presentation of some case studies
The theoretical concepts will be consolidated through activities carried out in the computer lab, during which dedicated software will be used to analyse and model spatial data (0.5 CFU).
Lesson period
year
Lesson period
year
Assessment methods
Esame
Assessment result
voto verbalizzato in trentesimi
Professor(s)
Reception:
friday, 10.30 am - 12.30 am
Hydraulics section