Poplar Tree Index (PTI): A New Vegetation Index for Monitoring Poplar Cultivated Areas

Ismail Colkesen; Taskin Kavzoglu; Hasan Tonbul; Muhammed Yusuf Ozturk; Elif Ozlem Yilmaz

doi:10.1109/IGARSS46834.2022.9883085

Poplar Tree Index (PTI): A New Vegetation Index for Monitoring Poplar Cultivated Areas

Ismail Colkesen, Taskin Kavzoglu, Hasan Tonbul, Muhammed Yusuf Ozturk, Elif Ozlem Yilmaz

Gebze Technical University

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

1 Citation (Scopus)

Abstract

The issue of accurate identification of the Earth's surface features from the very high spatial resolution (VHSR) satellite imagery has been a major area of interest within the field of remote sensing. Vegetation indices obtained from the remotely sensed imagery have long been used as a simple but effective tool for quantitative and qualitative identification of land surface materials. In this study, a new vegetation index called Poplar Tree Index (PTI) was introduced for the identification of poplar (Populus) tree cultivated field from the WorldView-3 imagery having unique features including 31cm panchromatic resolution and super-spectral resolutions. To test its capability in distinguishing poplar cultivated fields from the other cultivated fields, four well-known vegetation indices were also utilized, and their performances were quantitatively analyzed based on the separability measures (i.e., Bhattacharyya Distance and M-Statistic). Results revealed that the use of PTI significantly increased the discrimination level of pixels representing poplar planted areas from maize and hazelnuts.

Original language	English
Title of host publication	IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5567-5570
Number of pages	4
ISBN (Electronic)	9781665427920
DOIs	https://doi.org/10.1109/IGARSS46834.2022.9883085
Publication status	Published - 2022
Externally published	Yes
Event	2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022 - Kuala Lumpur, Malaysia Duration: 17 Jul 2022 → 22 Jul 2022

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	2022-July

Conference

Conference	2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022
Country/Territory	Malaysia
City	Kuala Lumpur
Period	17/07/22 → 22/07/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

Poplar
Populus
Separability Index
Vegetation Index
WorldView-3

Access to Document

10.1109/IGARSS46834.2022.9883085

Cite this

Colkesen, I., Kavzoglu, T., Tonbul, H., Ozturk, M. Y., & Yilmaz, E. O. (2022). Poplar Tree Index (PTI): A New Vegetation Index for Monitoring Poplar Cultivated Areas. In IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (pp. 5567-5570). (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2022-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS46834.2022.9883085

Colkesen, Ismail ; Kavzoglu, Taskin ; Tonbul, Hasan et al. / Poplar Tree Index (PTI) : A New Vegetation Index for Monitoring Poplar Cultivated Areas. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 5567-5570 (International Geoscience and Remote Sensing Symposium (IGARSS)).

@inproceedings{8c0f203792ae4a9ca2af5b4a7a363865,

title = "Poplar Tree Index (PTI): A New Vegetation Index for Monitoring Poplar Cultivated Areas",

abstract = "The issue of accurate identification of the Earth's surface features from the very high spatial resolution (VHSR) satellite imagery has been a major area of interest within the field of remote sensing. Vegetation indices obtained from the remotely sensed imagery have long been used as a simple but effective tool for quantitative and qualitative identification of land surface materials. In this study, a new vegetation index called Poplar Tree Index (PTI) was introduced for the identification of poplar (Populus) tree cultivated field from the WorldView-3 imagery having unique features including 31cm panchromatic resolution and super-spectral resolutions. To test its capability in distinguishing poplar cultivated fields from the other cultivated fields, four well-known vegetation indices were also utilized, and their performances were quantitatively analyzed based on the separability measures (i.e., Bhattacharyya Distance and M-Statistic). Results revealed that the use of PTI significantly increased the discrimination level of pixels representing poplar planted areas from maize and hazelnuts.",

keywords = "Poplar, Populus, Separability Index, Vegetation Index, WorldView-3",

author = "Ismail Colkesen and Taskin Kavzoglu and Hasan Tonbul and Ozturk, \{Muhammed Yusuf\} and Yilmaz, \{Elif Ozlem\}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022 ; Conference date: 17-07-2022 Through 22-07-2022",

year = "2022",

doi = "10.1109/IGARSS46834.2022.9883085",

language = "English",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "5567--5570",

booktitle = "IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium",

address = "United States",

}

Colkesen, I, Kavzoglu, T, Tonbul, H, Ozturk, MY & Yilmaz, EO 2022, Poplar Tree Index (PTI): A New Vegetation Index for Monitoring Poplar Cultivated Areas. in IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2022-July, Institute of Electrical and Electronics Engineers Inc., pp. 5567-5570, 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022, Kuala Lumpur, Malaysia, 17/07/22. https://doi.org/10.1109/IGARSS46834.2022.9883085

Poplar Tree Index (PTI): A New Vegetation Index for Monitoring Poplar Cultivated Areas. / Colkesen, Ismail; Kavzoglu, Taskin; Tonbul, Hasan et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. Institute of Electrical and Electronics Engineers Inc., 2022. p. 5567-5570 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2022-July).

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

TY - GEN

T1 - Poplar Tree Index (PTI)

T2 - 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022

AU - Colkesen, Ismail

AU - Kavzoglu, Taskin

AU - Tonbul, Hasan

AU - Ozturk, Muhammed Yusuf

AU - Yilmaz, Elif Ozlem

PY - 2022

Y1 - 2022

N2 - The issue of accurate identification of the Earth's surface features from the very high spatial resolution (VHSR) satellite imagery has been a major area of interest within the field of remote sensing. Vegetation indices obtained from the remotely sensed imagery have long been used as a simple but effective tool for quantitative and qualitative identification of land surface materials. In this study, a new vegetation index called Poplar Tree Index (PTI) was introduced for the identification of poplar (Populus) tree cultivated field from the WorldView-3 imagery having unique features including 31cm panchromatic resolution and super-spectral resolutions. To test its capability in distinguishing poplar cultivated fields from the other cultivated fields, four well-known vegetation indices were also utilized, and their performances were quantitatively analyzed based on the separability measures (i.e., Bhattacharyya Distance and M-Statistic). Results revealed that the use of PTI significantly increased the discrimination level of pixels representing poplar planted areas from maize and hazelnuts.

AB - The issue of accurate identification of the Earth's surface features from the very high spatial resolution (VHSR) satellite imagery has been a major area of interest within the field of remote sensing. Vegetation indices obtained from the remotely sensed imagery have long been used as a simple but effective tool for quantitative and qualitative identification of land surface materials. In this study, a new vegetation index called Poplar Tree Index (PTI) was introduced for the identification of poplar (Populus) tree cultivated field from the WorldView-3 imagery having unique features including 31cm panchromatic resolution and super-spectral resolutions. To test its capability in distinguishing poplar cultivated fields from the other cultivated fields, four well-known vegetation indices were also utilized, and their performances were quantitatively analyzed based on the separability measures (i.e., Bhattacharyya Distance and M-Statistic). Results revealed that the use of PTI significantly increased the discrimination level of pixels representing poplar planted areas from maize and hazelnuts.

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KW - Vegetation Index

KW - WorldView-3

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M3 - Conference contribution

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PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Colkesen I, Kavzoglu T, Tonbul H, Ozturk MY, Yilmaz EO. Poplar Tree Index (PTI): A New Vegetation Index for Monitoring Poplar Cultivated Areas. In IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. Institute of Electrical and Electronics Engineers Inc. 2022. p. 5567-5570. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS46834.2022.9883085

Poplar Tree Index (PTI): A New Vegetation Index for Monitoring Poplar Cultivated Areas

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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