Assessment of airborne LiDAR data for instream flow type classification

Yu Li Lin; Chi-Kuei Wang

doi:10.1109/IGARSS.2010.5653502

Assessment of airborne LiDAR data for instream flow type classification

Yu Li Lin, Chi-Kuei Wang

Department of Geomatics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

The information of instream biotype, i.e., types, location, distribution, etc, are important for estuary environment management. Field observations carry out by ecology surveyor is the standard procedure to gather that information, which is time consuming and difficult to be applied to a large spatial extend. In this research, we propose using airborne for instream biotype classification. Texture of point clouds is the key to distinguish between flow types, and semi-variogram was employed for texture measurement of different flow types. The principle component analysis is then used for classification and data compression. The results show that the first principle components are closely related to the flow types considered in this study.

Original language	English
Title of host publication	2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010
Pages	930-933
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2010.5653502
Publication status	Published - 2010 Dec 1
Event	2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010 - Honolulu, HI, United States Duration: 2010 Jul 25 → 2010 Jul 30

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Other

Other	2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010
Country	United States
City	Honolulu, HI
Period	10-07-25 → 10-07-30

All Science Journal Classification (ASJC) codes

Computer Science Applications
Earth and Planetary Sciences(all)

Access to Document

10.1109/IGARSS.2010.5653502

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Cite this

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title = "Assessment of airborne LiDAR data for instream flow type classification",

abstract = "The information of instream biotype, i.e., types, location, distribution, etc, are important for estuary environment management. Field observations carry out by ecology surveyor is the standard procedure to gather that information, which is time consuming and difficult to be applied to a large spatial extend. In this research, we propose using airborne for instream biotype classification. Texture of point clouds is the key to distinguish between flow types, and semi-variogram was employed for texture measurement of different flow types. The principle component analysis is then used for classification and data compression. The results show that the first principle components are closely related to the flow types considered in this study.",

author = "Lin, {Yu Li} and Chi-Kuei Wang",

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note = "2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010 ; Conference date: 25-07-2010 Through 30-07-2010",

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Lin, YL & Wang, C-K 2010, Assessment of airborne LiDAR data for instream flow type classification. in 2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010., 5653502, International Geoscience and Remote Sensing Symposium (IGARSS), pp. 930-933, 2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010, Honolulu, HI, United States, 10-07-25. https://doi.org/10.1109/IGARSS.2010.5653502

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AB - The information of instream biotype, i.e., types, location, distribution, etc, are important for estuary environment management. Field observations carry out by ecology surveyor is the standard procedure to gather that information, which is time consuming and difficult to be applied to a large spatial extend. In this research, we propose using airborne for instream biotype classification. Texture of point clouds is the key to distinguish between flow types, and semi-variogram was employed for texture measurement of different flow types. The principle component analysis is then used for classification and data compression. The results show that the first principle components are closely related to the flow types considered in this study.

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