Remote Sensing

(EG527-ABBAB)
Topics for the test, 2013/14/I. semester



  1. Remote Sensing: definition, definition of photogrammetry, most important properties, groupings, application fields.
  2. Electromagnetic radiation: EMR’s double features, Wave-formula, Planck-law, The EM spectrum, atmosphere, EMR-object interaction, reflectance.
  3. Central perspective: theories of central perspective, significant points and lines, distortions of aerial photographs, basic calculations.
  4. Photographic systems – films and metric cameras: Film build-up, film types, density and its curve, properties of metric cameras.
  5. Passive digital sensors: Digital sensors, resolutions, 0D and 1D scanners, Landsat.
  6. Active sensors: RADAR SAR, SRTM, LiDAR, different platforms, application fields.
  7. Digital image pre-processing: radiometric corrections, geometric corrections, orthorectification.
  8. Image enhancement: histograms and their transformations, filters, band ratios vegetation indexes.
  9. Image classifications: definition, units of classification, types of classifications, types of supervised classifications.
  10. Image post-processing: error matrix, error map, GIS-integration, vector-based analysis.
  11. Forestry properties of RS: forestry properties of RS, direct and indirect information retrieval, height measurements of single trees (normal stereogram), volume estimation methods, nDSM or CHM, global forest inventories, forest damages.

Preparation:
  1. Lectures (notes and presentations)
  2. Natural Resources Canada Tutorial: Fundamental of Remote Sensing
  3. Nicholas M. Short: The Remote Sensing Tutorial



Sopron, 4th of December, 2013.



Dr. Király, Géza
associate professor