A semantic multispectral images analysis retrieval method for interpreting deforestation effects in soil degradation

Irene Erlyn Wina Rachmawan, Yasushi Kiyoki

研究成果: Conference contribution

抄録

Deforestation is still a major nature phenomenon in our society. For assessing deforestation effect, satellites remote sensing provides a fundamental data for observation. While new remote-sensing technologies are able to represent high-resolution forest mapping, the application is still limited only for detecting and mapping the deforestation area. In this paper, we proposed a new method for retrieve the information contained on Satellite Multispectral images in order to interpreting deforestation effect in the context of soil degradation. We proposed an idea to interpret reflected “substances (material)” of bare soil in deforested area in spectrum domain into human language. The objectives of this paper are to (1) recognize the deforestation activity automatically. (2) Identify deforestation causes and examines the deforestation effect based on deforestation causes. (3) Scrutinize deforestation effects on soil degradation. (4) Representing nature knowledge of deforestation effect by performing calculation for semantic retrieval, to bring the clear comprehensible knowledge even for people who are not familiar with forestry. Semantic retrieval formed by understanding queries and showing queries result based on semantic calculation. As for experimental study, Riau Tropical Forest has been selected as the study area, where the multispectral data was acquired by using Landsat 8 Satellite between 2013 and 2014; Where forest fire and logging activities are reported, and detected.

元の言語English
ホスト出版物のタイトルInformation Modelling and Knowledge Bases XXIX
編集者Naofumi Yoshida, Chawan Koopipat, Yasushi Kiyoki, Petchporn Chawakitchareon, Aran Hansuebsai, Virach Sornlertlamvanich, Bernhard Thalheim, Hannu Jaakkola
出版者IOS Press
ページ90-109
ページ数20
ISBN(電子版)9781614998334
DOI
出版物ステータスPublished - 2018 1 1
イベント27th International Conference on Information Modelling and Knowledge Bases, EJC 2017 - Krabi, Thailand
継続期間: 2017 6 52017 6 9

出版物シリーズ

名前Frontiers in Artificial Intelligence and Applications
301
ISSN(印刷物)0922-6389

Conference

Conference27th International Conference on Information Modelling and Knowledge Bases, EJC 2017
Thailand
Krabi
期間17/6/517/6/9

Fingerprint

Deforestation
Image analysis
Semantics
Soils
Degradation
Satellites
Remote sensing
Forestry
Fires

ASJC Scopus subject areas

  • Artificial Intelligence

これを引用

Rachmawan, I. E. W., & Kiyoki, Y. (2018). A semantic multispectral images analysis retrieval method for interpreting deforestation effects in soil degradation. : N. Yoshida, C. Koopipat, Y. Kiyoki, P. Chawakitchareon, A. Hansuebsai, V. Sornlertlamvanich, B. Thalheim, ... H. Jaakkola (版), Information Modelling and Knowledge Bases XXIX (pp. 90-109). (Frontiers in Artificial Intelligence and Applications; 巻数 301). IOS Press. https://doi.org/10.3233/978-1-61499-834-1-90

A semantic multispectral images analysis retrieval method for interpreting deforestation effects in soil degradation. / Rachmawan, Irene Erlyn Wina; Kiyoki, Yasushi.

Information Modelling and Knowledge Bases XXIX. 版 / Naofumi Yoshida; Chawan Koopipat; Yasushi Kiyoki; Petchporn Chawakitchareon; Aran Hansuebsai; Virach Sornlertlamvanich; Bernhard Thalheim; Hannu Jaakkola. IOS Press, 2018. p. 90-109 (Frontiers in Artificial Intelligence and Applications; 巻 301).

研究成果: Conference contribution

Rachmawan, IEW & Kiyoki, Y 2018, A semantic multispectral images analysis retrieval method for interpreting deforestation effects in soil degradation. : N Yoshida, C Koopipat, Y Kiyoki, P Chawakitchareon, A Hansuebsai, V Sornlertlamvanich, B Thalheim & H Jaakkola (版), Information Modelling and Knowledge Bases XXIX. Frontiers in Artificial Intelligence and Applications, 巻. 301, IOS Press, pp. 90-109, 27th International Conference on Information Modelling and Knowledge Bases, EJC 2017, Krabi, Thailand, 17/6/5. https://doi.org/10.3233/978-1-61499-834-1-90
Rachmawan IEW, Kiyoki Y. A semantic multispectral images analysis retrieval method for interpreting deforestation effects in soil degradation. : Yoshida N, Koopipat C, Kiyoki Y, Chawakitchareon P, Hansuebsai A, Sornlertlamvanich V, Thalheim B, Jaakkola H, 編集者, Information Modelling and Knowledge Bases XXIX. IOS Press. 2018. p. 90-109. (Frontiers in Artificial Intelligence and Applications). https://doi.org/10.3233/978-1-61499-834-1-90
Rachmawan, Irene Erlyn Wina ; Kiyoki, Yasushi. / A semantic multispectral images analysis retrieval method for interpreting deforestation effects in soil degradation. Information Modelling and Knowledge Bases XXIX. 編集者 / Naofumi Yoshida ; Chawan Koopipat ; Yasushi Kiyoki ; Petchporn Chawakitchareon ; Aran Hansuebsai ; Virach Sornlertlamvanich ; Bernhard Thalheim ; Hannu Jaakkola. IOS Press, 2018. pp. 90-109 (Frontiers in Artificial Intelligence and Applications).
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