Scheda Insegnamento: Principles of remote sensing and modeling in forestry A.A. 2017/2018
  • Corso di Laurea: SCIENZE FORESTALI E AMBIENTALI (LM-73)
  • Codice: 16341
  • Crediti: 6
  • Anno Off. Formativa: 2017/2018
  • Anno di Corso: 2
  • Erogazione: I semestre
  • Docente: DARIO PAPALE

Programma

OBJECTIVES OF THE COURSE:
The aim of the course is to give an introduction to the concepts of remote sensing and modeling with particular emphasis on the applications in forestry and environmental studies using also a number of practical cases.

EXPECTED RESULTS AND KNOWLEDGE:
The course will introduce the basis of remote sensing and all the technical aspects needed in order to apply the technique in practical studies in the forest and environmental domain. Students are expected to gain knowledge and understanding of the fundamental principles of the data used and methods and applying knowledge and understanding needed for the practical application, in particular for the data collection, preparation and corrections. The applications and examples will give also the needed background to develop their own judgment capacity in relation to the applicability of the methods in their specific cases.

PROGRAM:
1) Introduction to the Remote Sensing concept
2) The electromagnetic energy and most important equations
3) Reflectance curves
- water and snow
- soils
- vegetation
4) Effect of the vegetation characteristics on the reflectance
5) Remote sensing platforms and sensors
- characteristics of the platforms
- BRDF
- orbits
- main missions (Landsat, Spot, ...)
6) Digital images processing
- structure of the digital data (raster and vector)
- file formats and headers
- data types
7) Digital images visualization
- color visualization
- palette
8) Enhancement of RS images
- false and true color images
- stretch
- filters
- RGB-HSL and pan-sharp
9) Radiometric corrections
- Radiometric calibration
- stripping and other errors correction
10) Geometric corrections
- georeferencing
- orthorectification
- geometric distortions
11) Atmospheric corrections
- effect of the atmosphere on radiation
- path radiance
- image based methods to correct or minimize the atmosphere effect
12) Vegetation indexes and their use, fluorescence
- NDVI
- Soil line based VIs
- PRI
- fluorescence
13) Remote sensing and modeling
- RUE models
- concept of radiative transfer models
14) Model optimization and validation
- model definition and components
- strategy for model validation and optimization
- empirical and process-based models
- multiple constrain in models parameterization
15) Supervised and Unsupervised classifications
- hard and soft classification
- minimum distance and maximum likelihood
- unsupervised clustering
16) Artificial Neural Networks
- principles
- FFBP Neural Networks
- concepts of validation
- applications as soft classification
17) Practical applications
- exercises on the practical tasks
- example of multi-temporal analysis

Testi consigliati

In English:
- Remote Sensing and Image Interpretation - T.M. Lillesand, R.W. Kiefer, J.W. Chipman, Wiley Interational Edition
- Remote Sensing of the Environment: An Earth Resource Perspective - John R. Jensen, Prentice Hall
- Forest Ecosystems - R. H. Waring, S. W. Running, Academic Press
- Introductory Digital Image Processing: A Remote Sensing Perspective, John R. Jensen, Prentice Hall

In Italian:
- Telerilevamento : manuale teorico pratico per l'elaborazione delle immagini digitali - Niccolò Dainelli, Flaccovio Editore
- Principi e metodi di Telerilevamento - P.A. Brivio, G. Lechi, E. Zilioli, Edizioni CittaStudi
- Telerilevamento: Informazione territoriale mediante immagini da satellite, A. Dermanis, L. Biagi, Casa Editrice Ambrosiana

All the books are available in the university library.. Material will be also distributed during the course and made available on the web though specific google drive links.

Propedeuticità

nessuna

Frequenza

Facoltativa

Metodologia didattica

Ore lezione: 40

Valutazione del profitto

Prova scritta, prova orale

Descrizione dei metodi di accertamento

English:
Knowledge of the theory and ability to apply the methods learned will be evaluated trough the solution of complex practical cases, where a clear knowledge of remote sensing basis, concepts and tools available is needed. The exam can be given in written or oral forms and the choice is left to the student.


Italiano:
Verrà accertata la conoscenza delle basi teoriche e la capacità dello studente di applicare le metodologie apprese fornendo casi pratici complessi per la cui soluzione è necessario avere chiare sia la teoria del telerilevamento che gli strumenti a disposizione. L'esame può essere sia orale che scritto e lo studente può scegliere in quale forma sostenerlo.

Luogo lezioni

nd nd nd

Orario lezioni

Wed 11-13; Thr 14-17

Comunicazioni

Students are received the two hours after each lecture. It is always possible to have specific appointment durign the year writing an email to the teacher. The teacher office is on Blocco D of the Riello Campus, last floor.

Il ricevimento degli studenti avviene nelle due ore dopo le lezioni. E' sempre possibile avere appuntamenti fuori orario scrivendo una email al docente. Lo studio si trova al Blocco D, terzo piano