Aggregatore Risorse Aggregatore Risorse

Il corso sarà offerto in lingua inglese se richiesto

Global Assessment and Monitoring Using Remote Sensing

Programma

Modern RS and datastreams provide the synoptic, time-sequential views of the Earth that these research activities require. I propose here to offer a comprehensive course of instruction through which both science students as well as students in related disciplines in other departments at IUSS may benefit from the intellectual activity and technological resources currently available. The basis of this program would be a course in Remote Sensing (RS) theory and application. I envision a highly interactive environment in which students will be taught the technical basis for RS and then be introduced to a wide range of applications employing the data and methodologies currently available. The course will be focusing finally on main research and life questions like Climate Change or CO2 monitoring that rely on an understanding of natural and anthropogenic phenomena on different spatial scales. For this reason, the approach would be to provide a firm background in the scientific principles of RS also to considering the more far-reaching applications related to social and economic issues that may benefit from a more global perspective. An important aspect of this course would be a strong interconnection among classroom instruction and informal discussion.

Introduction:

  • 1 Motivation & Applications of Remote Sensing: Introduction to image processing

 

How Remote Sensing Works:

Physics of Remote Sensing

  • 2       Physics of Electro Magnetic Radiation

Active & Passive Source Systems

Basic Concepts of Image Processing and Analysis

  • 3       Satellites & Orbital Dynamics

Satellite missions, Agencies & Data Availability

Projections, Image Geolocation, Warping

  • 4       Sensors and Imaging Systems

Spatial & Spectral Resolution of various Sensors

 

Image Processing & Analysis of Remotely Sensed Information

  • 4  Resolution, Sampling and Contrast Enhancement

Contrast Enhancement, Stretching, Filtering

  • 5  Transformations & Principal Component Analysis

Spectral Transformations & Principal Component Analysis

  • 6  Image classification & Information Extraction

Supervised & Unsupervised Classification

 

Selected Applications of Remote Sensing:

Observations of Natural Systems

  • 7  Physical Oceanographic Applications of Satellite Altimetry


 Sea Surface Temperature, Elevation & Ocean Circulation

  • 8 Geomorphology & Erosion Dynamics from Synthetic Aperature Radar


 Hydrologic Modeling with Digital Elevation Models (DEM)

Environmental Monitoring & Assessment

  • 9  Marine Biological Productivity & Pollution Monitoring

Ocean Circulation and Coastal Productivity

  • 10  Climate Change Detection and C02 Assessment

Data assimilation and modelling

Prerequisiti

non è richiesta nessuna conoscenza preliminare.

Svolgimento

Il corso si svolgerà dal 26 marzo al 17 aprile 2020 e si terrà presso le Aule della Sede dello IUSS (Palazzo del Broletto, Piazza della Vittoria n. 15).

Calendario: 

1. Giovedì 26 marzo, ore 17-20;
2. Venerdì 27 marzo, ore 17-30;

3. Giovedì 2 aprile, ore 17-20;
4. Venerdì 3 aprile, ore 17-20;

5. Sabato 4 aprile, ore 9-12

6. giovedì 9 aprile, ore 17-20

7. venerdì 10 aprile, ore 17-19

8. giovedì 16 aprile, ore 17-20

9 venerdì 17 aprile, ore 18-20

Bibliografia

Libro di testo

Autore: Crawford, Melba M.
Titolo: Comprehensive remote sensing / Shunlin Liang

Volume 2: Data processing and analysis methodology / Melba M. Crawford

https://www.elsevier.com/books/comprehensive-remote-sensing/liang/978-0-12-803220-6

Tutti i volumi sono disponibili per la consultazione presso la biblioteca di Eucentre

 

Articoli di riferimento

Taramelli, A., Lissoni, M., Piedelobo, L., Schiavon, E., Valentini, E., Xuan, A. N., & González-Aguilera, D. (2019). Monitoring Green Infrastructure for Natural Water Retention Using Copernicus Global Land Products. Remote Sensing, 11(13), 1583.

Taramelli, A.; Valentini, E.; Cornacchia, L.; Monbaliu, J.; Sabbe, K. (2018), Self-organized processes between salt marsh vegetation patterns and channel network in a tidal landscape, JGR - Earth Surface, 123, 10, 2714-2731, https://doi.org/10.1029/2017JF004540.

Taramelli, A.; Manzo C., Valentini, E.; Cornacchia, L., (2018), Coastal Subsidence: Causes, Mapping, and Monitoring, in Singh, Ramesh, and Darius Bartlett, eds. Natural Hazards: Earthquakes, Volcanoes, and Landslides. CRC Press, 253-290, Book Chapter

Andrea Taramelli

Professore Associato di Geografia fisica e Geomorfologia

Classe : Scienze Tecnologie e Società

Ambito : Scienze e Tecnologie

Periodo: Semestre II

Anno accademico: 2019-2020

Luogo : Pavia - Sede Iuss Palazzo del Broletto Piazza della Vittoria 15

Durata : 25 ore