Remote Sensing - a tool for environmental observation

Remote Sensing - a tool for environmental observation -...

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Lecture Notes Remote Sensing Course GEO3-4309 Remote Sensing - a Tool for Environmental Observations - Department of Physical Geography Steven M. de Jong (Ed.) Faculty of Geosciences Raymond Sluiter Utrecht University, The Netherlands Maarten Zeijlmans Elisabeth Addink January 2005
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1 Preface These lecture notes are part of the course Remote Sensing for students in physical geography, environmental sciences, biogeology, geochemistry, geology, geophysics, hydrology at the Faculty of Geographical Sciences, Utrecht University. Students from outside the faculty or university are also welcome to attend to the course. Basic knowledge of surveying techniques in geography, basic knowledge of physics and mathematics is expected from the students and some computer skills. The course is an introductory course to the concepts, physics and basic processing of earth observation images. Emphasis is put land use and land cover mapping, soils, geology and geomorphology. We will use images acquired by satellite sensors such as IKONOS, SPOT-XS, Landsat TM and ETM, ASTER and airborne sensors such as DAIS7915 and HyMap. Remote sensing techniques are increasingly used in environmental studies for data acquisition e.g. land cover mapping, water quality control, water balance studies, soil erosion studies, climate change etc. Consequently, it is important for students in disciplines concerned with the environment to have some basic knowledge of Remote Sensing. The objective of these lecture notes is to provide an overview of Remote Sensing techniques as a tool for environmental studies for students with a limited knowledge and little experience with Remote Sensing. The course provides an overview of currently available sensors aboard satellites and/or aircrafts (space borne and airborne sensors), it presents image pre-processing and image correction methods, procedures for image analysis and image interpretation techniques using a wide range of examples. Furthermore, it gives practical directions, literature sources and internet links for students who wish to enlarge their knowledge in the field of Remote Sensing and related topics. The course comprise next to a series of lectures a number of practical computer exercises. The exercises range from the interpretation of analogue photos to the processing of satellite images in optical and microwave wavelengths (Landsat Thematic Mapper, ERS imagery, Landsat MSS images, Radar images acquired by ERS and SeaSAT etc.). The software used during the practical exercises is Erdas/Imagine (www.erdas.com). The exercises introduce general image analysis methods, procedures for land cover classification, image ratioing, digital filtering, multivariate analysis of imagery etc. The lecture notes should be used as a reference during the practical exercises of the course and are helpful for the students to prepare for the final exam.
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