Model Assessment of Soil Organic Matter Content by Remote Sensing in Bayah, Indonesia

被引:0
|
作者
Kumala, A. [1 ]
Supriatna, S. [1 ]
Damayanti, A. [1 ]
机构
[1] Univ Indonesia, Fac Math & Nat Sci FMIPA, Dept Geog, Depok 16424, Indonesia
关键词
Landsat; 8; OLI; Linear Regression; NDSI algorithm; Organic Soil Matter Content; Remote Sensing; PREDICTION; LANDSCAPE; CARBON; MASS;
D O I
10.1063/1.5064189
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
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%.
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页数:6
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