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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 articulated in the Copernicus downstreaming services 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, informal discussion and "hands on" experience with RS data and resources.

Global Assessment and Monitoring Using Remote Sensing


1 Motivation & Applications of Remote Sensing: Introduction to image processing
How Remote Sensing Works:
Physics of Remote Sensing

2 Physics of ElectroMagnetic Radiation
Active & Passive Source Systems
LAB: Basic Concepts of Image Processing and Analysis
3 Satellites & Orbital Dynamics
Satellite missions, Agencies & Data Availability
LAB: Projections, Image Geolocation, Warping
4 Sensors and Imaging Systems
LAB: Spatial & Spectral Resolution of various Sensors

Image Processing & Analysis of Remotely Sensed Information
4 Resolution, Sampling and Contrast Enhancement
LAB: Contrast Enhancement, Stretching, Filtering
5 Transformations & Principal Component Analysis
LAB: Spectral Transformations & Principal Component Analysis
6 Image classification & Information Extraction
LAB: Supervised & Unsupervised Classification

Selected Applications of Remote Sensing:
Observations of Natural Systems

7 Gravity Field Measurements & Bathymetry from Satellite Altimetry LAB: Satellite gravity, Isostasy & Ocean Basin Structure
8 Physical Oceanographic Applications of Satellite Altimetry LAB: Sea Surface Temperature, Elevation & Ocean Circulation
9 Geomorphology & Erosion Dynamics from Synthetic Aperature Radar LAB: Hydrologic Modeling with Digital Elevation Models (DEM)

Natural Resource Exploration & Assessment
10 Water, Mineral and Petroleum Exploration LAB: Tectonic Basin Analysis with SAR-Interferometry, Landsat & DEMs

Environmental Monitoring & Assessment
11 Marine Biological Productivity & Pollution Monitoring LAB: Ocean Circulation and Coastal Productivity
12 Change Detection and Land Use Assessment LAB: Multitemporal Change Detection
13 Deforestation and Biomass Assessment LAB: Spatial Analysis


Remote Sensing of the Environment, J.R. Jensen


Il corso si svolgerà dal 30 marzo al 28 aprile 2017 presso Palazzo del Broletto.

Ambito: Scienze e Tecnologie

Semestre: Semestre II

Anno Accademico: 2016-2017