Extracting spatial information from aerial video imagery for monitoring riparian areas

Boitshoko, Daniel (2007) Extracting spatial information from aerial video imagery for monitoring riparian areas. [USQ Project]


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[Abstract]: There are many different techniques being used in remote sensing to capture data for natural resource management. Aerial video mapping is a relatively new technique that is gaining popularity because of its non invasiveness, relative cost-effectiveness
and timeliness.

The Queensland Murray Darling Committee (QMDC) has collected video footage of rivers within its catchment area to facilitate their river management activities. It
endeavours to ascertain the usefulness and reliability of information provided by aerial video mapping technology for riparian management. The aim of this project was to develop object-oriented image processing techniques and GIS based techniques for extracting riparian area parameters from aerial video imagery. Specifically, the objectives were to a) use traditional image processing techniques to extract the identified riparian parameters; b) identify and test objectoriented image processing techniques that may be suitable for mapping the selected riparian variables; and c) assess the accuracy of the results generated from both the traditional per-pixel and object-oriented image processing techniques.

Four images were extracted from the aerial video footage. Each image represented a dominant land cover/use type (i.e. agriculture, urban, pasture and forest). For each
image, a set of classes representing various riparian parameters were created. These were then used for classifying the images using the maximum likelihood algorithm in ERDAS IMAGINE 9.1, and the object-oriented classification techniques in Definiens Professional 5.
The object-oriented approach achieved results with accuracies ranging from 90% up to 97% while the pixel-based approach managed accuracies ranging from 69% up to
82%. The data was found to have two major limitations. It had only three spectral bands, red, green and blue. Accurate measurements could not be made from the
imagery because it was collected at an oblique angle.

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Item Type: USQ Project
Refereed: No
Item Status: Live Archive
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - No Department (Up to 30 Jun 2013)
Date Deposited: 25 Feb 2008 04:46
Last Modified: 02 Jul 2013 22:58
Uncontrolled Keywords: spatial; aerial video mapping; riparian; remote sensing; Queensland; Murray Darling; river; rivers; catchment
Fields of Research (2008): 09 Engineering > 0909 Geomatic Engineering > 090903 Geospatial Information Systems
09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
09 Engineering > 0907 Environmental Engineering > 090799 Environmental Engineering not elsewhere classified
Fields of Research (2020): 40 ENGINEERING > 4013 Geomatic engineering > 401302 Geospatial information systems and geospatial data modelling
40 ENGINEERING > 4013 Geomatic engineering > 401304 Photogrammetry and remote sensing
40 ENGINEERING > 4011 Environmental engineering > 401199 Environmental engineering not elsewhere classified
URI: https://sear.unisq.edu.au/id/eprint/3889

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