Calculation of Salinity and Soil Moisture indices in south of Iraq Using Satellite Image Data

被引：1

作者：

Raheem, Mustafa A. ^{[1
]}

Hatem, Amal J. ^{[1
]}

机构：

[1] Univ Baghdad, Coll Educ Pure Sci, Baghdad, Iraq

来源：

TECHNOLOGIES AND MATERIALS FOR RENEWABLE ENERGY, ENVIRONMENT AND SUSTAINABILITY (TMREES) | 2019年 / 157卷

关键词：

Soil Indices; Landsat; 8; Iraq south soil; Supervised classification; Image segmentation;

D O I：

10.1016/j.egypro.2018.11.185

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

A band rationing method is applied to calculate the salinity index (SI) and Normalized Multi -Band Drought Index (NMDI) as pre-processing to take Agriculture decision in these areas is presented. To separate the land from other features that exist in the scene, the classical classification method (Maximum likelihood classification) is used by classified the study area to multi classes (Healthy vegetation (HV), Grasslands (GL), Water (W), Urban (U), Bare Soil (BS)). A Landsat 8 satellite image of an area in the south of Iraq are used, where the land cover is classified according to indicator ranges for each (SI) and (NMDI). (C) 2019 The Authors. Published by Elsevier Ltd.

引用

页码：228 / 233

页数：6

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