Integration of hyperspectral and polarimetric radar remote sensing techniques for monitoring invasive weeds

Hsing Chung Chang; Annette Burke

doi:10.1109/IGARSS.2014.6947095

Integration of hyperspectral and polarimetric radar remote sensing techniques for monitoring invasive weeds

Hsing Chung Chang, Annette Burke

Faculty of Science and Engineering

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

3 Citations (Scopus)

Abstract

Invasive plant species have been identified as major threats to biodiversity and the survival of native species and ecosystems. This study is to effectively identify the invasive weed, namely African Olives, within the Hawkesbury Nepean catchment in Sydney's west. Spectral analysis using airborne hyperspectral imagery and polarimetric COSMO-SKYMED X-band data are utilized in this study to monitor the occurrence of an invasive weed species, African Olive. Field surveys, as well as, the vegetation subgroup maps were used to validate the results.

Original language	English
Title of host publication	International Geoscience and Remote Sensing Symposium (IGARSS)
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	2950-2952
Number of pages	3
ISBN (Electronic)	9781479957750
DOIs	https://doi.org/10.1109/IGARSS.2014.6947095
Publication status	Published - 4 Nov 2014
Event	Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014 - Quebec City, Canada Duration: 13 Jul 2014 → 18 Jul 2014

Other

Other	Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014
Country	Canada
City	Quebec City
Period	13/07/14 → 18/07/14

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10.1109/IGARSS.2014.6947095

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Cite this

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title = "Integration of hyperspectral and polarimetric radar remote sensing techniques for monitoring invasive weeds",

abstract = "Invasive plant species have been identified as major threats to biodiversity and the survival of native species and ecosystems. This study is to effectively identify the invasive weed, namely African Olives, within the Hawkesbury Nepean catchment in Sydney's west. Spectral analysis using airborne hyperspectral imagery and polarimetric COSMO-SKYMED X-band data are utilized in this study to monitor the occurrence of an invasive weed species, African Olive. Field surveys, as well as, the vegetation subgroup maps were used to validate the results.",

author = "Chang, {Hsing Chung} and Annette Burke",

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Chang, HC & Burke, A 2014, Integration of hyperspectral and polarimetric radar remote sensing techniques for monitoring invasive weeds. in International Geoscience and Remote Sensing Symposium (IGARSS)., 6947095, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 2950-2952, Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014, Quebec City, Canada, 13/07/14. https://doi.org/10.1109/IGARSS.2014.6947095

Integration of hyperspectral and polarimetric radar remote sensing techniques for monitoring invasive weeds. / Chang, Hsing Chung; Burke, Annette.

International Geoscience and Remote Sensing Symposium (IGARSS). Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2014. p. 2950-2952 6947095.

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

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AB - Invasive plant species have been identified as major threats to biodiversity and the survival of native species and ecosystems. This study is to effectively identify the invasive weed, namely African Olives, within the Hawkesbury Nepean catchment in Sydney's west. Spectral analysis using airborne hyperspectral imagery and polarimetric COSMO-SKYMED X-band data are utilized in this study to monitor the occurrence of an invasive weed species, African Olive. Field surveys, as well as, the vegetation subgroup maps were used to validate the results.

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Integration of hyperspectral and polarimetric radar remote sensing techniques for monitoring invasive weeds

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