Lectures

Lecture1_1_TiFII_2012.pdf

Lecture2_1_TiFII_2012.ppt

Lecture3_1_TiFII_2012.pdf

Lecture4_1_TiFII_2012.pdf

Lecture5_1_TiFII_2012.pdf

Lecture6_1_TiFII_2012.pdf

test_image.rar - ILWIS data for mmanual image classification

test_xls.rar - corresponding xls file

Lecture7_1_TiFII_2012.ppt

Lecture8_1_TiFII_2012.pdf

_______________________________________________________

IN 2016 STOP HERE!!!!


collinearity equation xls

Riegl TLS

Introduction to Terrestrial Laser Scanning

Details_concerning_exam_2013_01.tif

__________________________________________________________________________

LABORATORIES

Laboratory1 - Introduction to ILWIS – Chapter01 (3h)

https://twiki.fotogrametria.agh.edu.pl/pub/Dydaktyka/RemoteSensingDocumentsforStudents/Chapter_01.pdf

data1

HOMEWORK - Main concepts of ILWIS – Chapter02 (pages: 27- 70)

Chapter02

data_2

Laboratory2 - Landsat satellite image – initial analysis (3h)

Chapter06 content

Chapter_06.pdf

Laboratory 2.doc

Laboratory3 - Landsat satellite image – supervised classification

Laboratory 3.doc

Laboratory4 - Landsat satellite image – quantitative analysis

Laboratory 4.doc

___________________________________________________________________

IN 2016 STOP HERE!!!!

Laboratory5 - Photomap creation

Laboratory 5.doc

Laboratory6 - Orthophotomap creation 5

Laboratory 6.doc

Laboratory7 - Airborne model orientation, 3D - e-foto http://www.efoto.eng.uerj.br/en

__________________________________________________________________________________

EXAM – theoretical questions:

1. Digital image – definition, DN, mininum metadata, formats
2. Histogram – definition, graphic presentation, statistics
3. Histogram stretching, linear, with saturation, color composition
4. Landsat system, resolution: spatial, radiometric, spectral and temporal
5. Bilans of the electromagnetic energy on the earth ( coefficients: reflection, scattering, transmition, absorbtion, emissivity)
6. Interaction of EM radiation in the atmosphere (atmospheric windows)
7. Spectral curve: definition, exapmples: water, vegetaion, soil
8. Automatic image classification: steps, argorithms (box, mindist, maxlike), accuracy assessment
9. Albedo calculation for Landsat images
10. Temperature calculation from Landsat image: Planck's, Wien's, Stefan-Boltzman's law, radiant and kinetic temperature


EXAM – practical excercises (ILWIS):
1. Image histogram, stretching, color composite
2. Supervised classification (also manually)
3. Accuracy analysis


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Topic revision: r35 - 2016-06-06 - BeataHejmanowska
 
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