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17931 Principles of remote sensing and modeling in forestry in SCIENZE FORESTALI E AMBIENTALI (LM-73) LM-73 0 PAPALE Dario
(programma)
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)
- 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 - 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
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