Semantic analysis of deforestation soil effect using multispectral reflectance

Irene Erlyn Wina Rachmawan, Yasushi Kiyoki

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


In several last decades' deforestation as act of denudation and devastation has growing to critical levels. Although the effects of deforestation are hugely impactive, many people do not fully well understand the effects due to deforestation acts. To present deep knowledge about deforestation, after gaining knowledge about deforestation rates, it is necessary to understanding the deforestation impact on factual conditions. In this paper, we proposed a new method to represent semantic analysis for the deforestation soil in human interpretation. We proposed idea to interpret reflected 'substances (material)' of deforestation area in spectrum domain into human language. To portray the deforestation soil condition into meaningful words, we construct three-dimensional semantic spaces to analyze the soil condition in deforestation area, which are: (1) Soil Moisture Measurement, (2) soil thermal, and (3) soil salinity were used to interpreting the soil condition after deforestation activity. 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.

Original languageEnglish
Title of host publicationProceedings - 2016 International Electronics Symposium, IES 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781509016402
Publication statusPublished - 2017 Feb 21
Event18th International Electronics Symposium, IES 2016 - Bali, Indonesia
Duration: 2016 Sept 292016 Sept 30


Other18th International Electronics Symposium, IES 2016


  • deforestation
  • landsat
  • reflectance
  • semantic analysis

ASJC Scopus subject areas

  • Computer Science Applications
  • Algebra and Number Theory
  • Electrical and Electronic Engineering
  • Instrumentation


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