Model assessment of soil organic matter content by remote sensing in Bayah, Indonesia

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Abstract

Bayah is an area that is well known to have the composition of the soil of mostly limestone which may influence the organic matter content. The land use and slope gradient also influence the organic matter content of the soil. This study aims to determine the distribution of organic matter content by using Landsat 8 and linear regression of statistical analysis which is associated with land use, type of soil, rock type, and slope as the factors that are influencing it. This study uses the normalized difference soil index (NDSI) algorithm to see the soil organic matter content and also using Landsat 8 OLI as a reference for the determination of soil sampling. Spatial analysis and descriptive analysis will be done by creating classifications of soil organic matter content, using the methods of multi-criteria analysis (MCA). Overall the organic matter content in Bayah soil is comparatively low. The distribution of the soil organic matter with the classification of medium and low there was almost total throughout in Bayah and dominated by land use mixed plantation and paddy fields that were located on a slope of 15-25% and 25-40%.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Symposium on Current Progress in Mathematics and Sciences 2017, ISCPMS 2017
EditorsRatna Yuniati, Terry Mart, Ivandini T. Anggraningrum, Djoko Triyono, Kiki A. Sugeng
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735417410
DOIs
Publication statusPublished - 22 Oct 2018
Event3rd International Symposium on Current Progress in Mathematics and Sciences 2017, ISCPMS 2017 - Bali, Indonesia
Duration: 26 Jul 201727 Jul 2017

Publication series

NameAIP Conference Proceedings
Volume2023
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference3rd International Symposium on Current Progress in Mathematics and Sciences 2017, ISCPMS 2017
CountryIndonesia
CityBali
Period26/07/1727/07/17

Keywords

  • Landsat 8 OLI
  • Linear Regression
  • NDSI algorithm
  • Organic Soil Matter Content
  • Remote Sensing

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