Find below the classes i offer at the Department of Geography. Students should enroll to the eclass platform in order to have access to the slides, announcements, forum etc. However some teaching materials i.e. workbooks and tutorial videos can be found at the Teaching Material section.
Introduction to Remote SensingSyllabus
TOPIC LAB Introduction, objectives, definitions, requirements, grading - EM spectrum, interactions with matters, sensors Free web data sources, data structure, importing to ERDAS Imagine Geometry and radiometry, histograms, Visual interpretation, channel combination, metadata, histogram stretching Geometric Rectification, polynomials, RMS Image to image geometric rectification Radiometric corrections, image transformations Landsat radiometric correction Vegetation indicies, thermal remote sensing, convolution filtering Landsat NDVI, Tasseled Cap, Principal Component Analysis Remote Sensing applications Data fusion Unsupervised and supervised classification Unsupervised classification Supervised classification Supervised classification Accuracy assesment Accuracy assesment
Introduction to GIS (Lab)
Remote Sensing ApplicationsSyllabus
TOPIC Introduction, objectives, requirements, grading Intro rerun Hyperspectral remote sensing, airborne remote sensing, image mosaicing Spatial enhancement / filters Remote Sensing and wildfires Remote Sensing and urban areas Change detection / object recognition Remote sensing and agriculture / precision farming Remote Sensing and meteorology