Mapping of Total Lime Using Remote Sensing and GIS Technology, Case Study: Garmian District, Kurdistan Region-Iraq

S. Azeez
{"title":"Mapping of Total Lime Using Remote Sensing and GIS Technology, Case Study: Garmian District, Kurdistan Region-Iraq","authors":"S. Azeez","doi":"10.24271/psr.2023.387488.1266","DOIUrl":null,"url":null,"abstract":"Calcium carbonate, lime, is a major component of the regolith, especially in arid and semi-arid regions. Lime affects soil characteristics, is a substantial store of earthly carbon, and is used in mineral investigation. Total lime is functioning component in the cultivation of Calcium carbonate and it is formed when calcium ions in hard water interact with carbonate ions to make limescale. Remote Sensing (RS) data and techniques integrated with Geographical Information System (GIS) play an important and prominent role in studying soil properties and how they are distributed by introducing the proportions and concentrations of chemical elements in the soil into GIS programs and then mapping the density of these elements and linking them spatially to the study area, and thus the spatial analysis of these elements. The study aims to map the distribution of the lime-rich regions utilizing remote sensing and geographical information system data and techniques integrated with field data observations in the Garmian region, Sulaimaniyah Province, Kurdistan Region, Iraq. Total of 80 well-distributed samples were tested precisely in the laboratory. Twelve samples were used as training samples in the classification, and the rest were used for checking the accuracy of the produced maps. The results also showed that Maximum likelihood classification is a reliable method that can be used on Landsat images to extract viable information on lime-rich regions and can predict the attendance and distribution of the lime-rich regions. It is clear that the amounts of calcium carbonate increase towards the study area south because the parent material is limestone and sandstone, which are rich in calcium carbonate, and also because of the low rates of rainfall in that area, which is not sufficient to dissolve the lime and wash it from the soil section.","PeriodicalId":33835,"journal":{"name":"Passer Journal","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Passer Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24271/psr.2023.387488.1266","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Calcium carbonate, lime, is a major component of the regolith, especially in arid and semi-arid regions. Lime affects soil characteristics, is a substantial store of earthly carbon, and is used in mineral investigation. Total lime is functioning component in the cultivation of Calcium carbonate and it is formed when calcium ions in hard water interact with carbonate ions to make limescale. Remote Sensing (RS) data and techniques integrated with Geographical Information System (GIS) play an important and prominent role in studying soil properties and how they are distributed by introducing the proportions and concentrations of chemical elements in the soil into GIS programs and then mapping the density of these elements and linking them spatially to the study area, and thus the spatial analysis of these elements. The study aims to map the distribution of the lime-rich regions utilizing remote sensing and geographical information system data and techniques integrated with field data observations in the Garmian region, Sulaimaniyah Province, Kurdistan Region, Iraq. Total of 80 well-distributed samples were tested precisely in the laboratory. Twelve samples were used as training samples in the classification, and the rest were used for checking the accuracy of the produced maps. The results also showed that Maximum likelihood classification is a reliable method that can be used on Landsat images to extract viable information on lime-rich regions and can predict the attendance and distribution of the lime-rich regions. It is clear that the amounts of calcium carbonate increase towards the study area south because the parent material is limestone and sandstone, which are rich in calcium carbonate, and also because of the low rates of rainfall in that area, which is not sufficient to dissolve the lime and wash it from the soil section.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用遥感和GIS技术绘制总石灰图,案例研究:伊拉克库尔德斯坦地区Garmian区
碳酸钙,石灰,是风化层的主要成分,特别是在干旱和半干旱地区。石灰影响土壤特性,是地球碳的大量储存,并用于矿物调查。总石灰是培养碳酸钙的功能组分,是硬水中钙离子与碳酸盐离子相互作用生成水垢的产物。遥感(RS)数据和技术与地理信息系统(GIS)相结合,通过将土壤中化学元素的比例和浓度引入GIS程序,然后绘制这些元素的密度并将其空间连接到研究区域,从而对这些元素进行空间分析,在研究土壤性质及其分布方面发挥着重要而突出的作用。这项研究的目的是利用遥感和地理信息系统数据和技术,结合伊拉克库尔德斯坦地区苏莱曼尼亚省加尔米安地区的实地数据观测,绘制富石灰地区的分布图。总共80个分布均匀的样品在实验室进行了精确测试。12个样本作为分类中的训练样本,其余样本用于检查生成的地图的准确性。结果还表明,最大似然分类是一种可靠的方法,可用于Landsat图像提取富灰区的可行信息,并能预测富灰区的出席率和分布。很明显,在研究区域的南部,碳酸钙的含量增加,因为母质是石灰石和砂岩,它们富含碳酸钙,也因为该地区的降雨量低,不足以溶解石灰并将其从土壤部分冲走。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
0.50
自引率
0.00%
发文量
23
审稿时长
12 weeks
期刊最新文献
Study of Algal Diatoms in some water resources in Shaglawa District. Erbil, Kurdistan Region of Iraq Antibacterial Efficacy of Extraction of Salvia palaestina Bentham Characterization of biochemical compounds in different accessions of pomegranate (Punica granatum L.) peels in Iraq Lavender Essential Oil in Sanitation on Fertile Egg Exploring efficient techniques to decrease phosphorus levels in previously farmed land to promote the revival of indigenous grassland
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1