Article 3: 3S Technology Application on Biodiversity Monitoring and Assessment/3S 技术在生物多样性监测与评价领域的应用研究(英文) Author: Liu Huan, Master of Science (First Class Honours), The University of Auckland Abstract
This article presents an improved method for the object-oriented classification of high-resolution remote sensing imagines, with Quickbirds imagines selected as an example of illustrating this methods, in combination with the application of GIS and GPS.
1.Introduction The application of the object-oriented classification of high-resolution remote sensing imagines on biodiversity monitoring was summarized previously by Liu et al., (2014)[1]. However, the limitation of these cases was not discussed in article. This article aims to point out the main limitations of these cases and illustrate the improved methods for object-oriented classification of high-resolution remote sensing imagines, with further development on the GIS.
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This is the revised materials in book “Proceedings for Degree of Postgraduate Diploma in Environmental Science (3rd Edition).” Published in 2016. Revised on 28/12/2020; Secondly Revised on 07/01/2022; Thirdly Revised on 28/02/2022.
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