Semantic spatial weighted regression for realizing spatial correlation of deforestation effect on soil degradation

Irene Erlyn Wina Rachmawan, Yasushi Kiyoki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Tackling Deforestation activity is not an easy task. Many approached on mapping and monitoring the change of forest cover has been actively introduced and yet the deforestation activity is still largely happens. In order to observe the deforestation activity and its natural impact on environment, a new way to serve knowledge is good approach to make more understandable information regarding on how deforestation activity effects on our environment. We proposed semantic spatial-weighted regression to create a system that able to presenting the distribution of deforestation effect on soil degradation based on human language regression. Our system is able to visualize the desire observed are based on the location given by user impression. We use Landsat satellite images as our input data. Our system calculates the band parameters value using semantic orthogonality for producing a new semantic regression model of deforestation area effect to capturing user intention.

Original languageEnglish
Title of host publicationProceedings - International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages71-76
Number of pages6
Volume2017-January
ISBN (Electronic)9781538607169
DOIs
Publication statusPublished - 2017 Dec 19
Event6th International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2017 - Surabaya, Indonesia
Duration: 2017 Sep 262017 Sep 27

Other

Other6th International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2017
CountryIndonesia
CitySurabaya
Period17/9/2617/9/27

Keywords

  • Deforestation
  • remote sensing
  • semantic computing

ASJC Scopus subject areas

  • Artificial Intelligence
  • Signal Processing

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  • Cite this

    Rachmawan, I. E. W., & Kiyoki, Y. (2017). Semantic spatial weighted regression for realizing spatial correlation of deforestation effect on soil degradation. In Proceedings - International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2017 (Vol. 2017-January, pp. 71-76). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/KCIC.2017.8228566