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Derived from
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17931 Principles of remote sensing and modeling in forestry in Forestry and Environmental Sciences LM-73 0 PAPALE Dario
(syllabus)
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
(reference books)
- 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
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