A cause-based methodology for semantic analysis of deforestation using multispectral reflectance

Irene Erlyn Wina Rachmawan, Yasushi Kiyoki, Shiori Sasaki

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Nowadays, deforestation activity still occurs despite having huge impact for human being. The different causes of deforestation are relatively brings different effect on nature, while forest fire and illegal logging are two major deforestation activities. In this paper, we proposed a new method to represent semantic analysis of deforestation effect based on its cause. We proposed idea to interpret reflected 'substances (material)' of deforestation area in spectrum domain into human language. The objectives of this paper are to (1) Detect deforestation area, (2) Detect the type activity that cause deforestation (whether it is logging or forest fire), (3) measuring the degree of deforestation effect for soil by considering the soil properties, (4) identify and present important nature changes occurring in soils that affect post deforestation management. Riau has been selected as the study area, where the data was acquired by using Landsat Satellite images between 2013 and 2014; where there is a big forest fire occurs. The experimental result produces new semantic analysis matrices to determining the soil condition after deforestation in different context.

本文言語English
ホスト出版物のタイトル2016 International Conference on Knowledge Creation and Intelligent Computing, KCIC 2016
出版社Institute of Electrical and Electronics Engineers Inc.
ページ134-140
ページ数7
ISBN(電子版)9781509052318
DOI
出版ステータスPublished - 2017 3 20
イベント5th International Conference on Knowledge Creation and Intelligent Computing, KCIC 2016 - Manado, Indonesia
継続期間: 2016 11 152016 11 17

Other

Other5th International Conference on Knowledge Creation and Intelligent Computing, KCIC 2016
国/地域Indonesia
CityManado
Period16/11/1516/11/17

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 人工知能

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