哈蒂库尼流域土壤、水和植被的识别与绘图

Akasha Deepa P U, Anilkumar T. Dandekar
{"title":"哈蒂库尼流域土壤、水和植被的识别与绘图","authors":"Akasha Deepa P U, Anilkumar T. Dandekar","doi":"10.9734/ijecc/2024/v14i74287","DOIUrl":null,"url":null,"abstract":"A study on identification and mapping of soil, water and vegetation of Hattikuni watershed in Yadagiri district was carried out using Google Earth and QGIS open-source software. The study area was located in North-Eastern dry Sone of Karnataka at 16˚ 51' 45\" to 16˚ 59' 14\" N latitude and 77˚ 9' 3\" to 77˚ 20' 14\" E longitude and elevation ranges from 436m to 622m above amsl. The study area falls under the Survey of India toposheet of E43X1 and E43X5 with an area of 138sq.km. Various Thematic maps were developed using Google Earth and QGIS such as DEM, slope, drainage, waterbodies, flow direction, aspect, hillshade, contour, vegetation and soil maps. From the study we found that there were in total of eleven waterbodies as per SOI toposheets (1960-61) and when compared with Google Earth, only eight waterbodies were found having that too with lesser water spread area as compared with toposheet. The soils in the area were classified into seven classes out of which the fine, mixed and lithic ustropepts occupies the maximum area followed by the rock/scrub land. By mapping of vegetation, we found that the total area coverage was 3456.95 ha which accounts to 24.99% of the total area. This study made a conclusion that Google Earth, QGIS and Toposheet can be used in combination for the mapping, identification and change detection of primary resources.","PeriodicalId":506431,"journal":{"name":"International Journal of Environment and Climate Change","volume":"94 4","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identification and Mapping of Soil, Water and Vegetation of Hattikuni Watershed\",\"authors\":\"Akasha Deepa P U, Anilkumar T. Dandekar\",\"doi\":\"10.9734/ijecc/2024/v14i74287\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A study on identification and mapping of soil, water and vegetation of Hattikuni watershed in Yadagiri district was carried out using Google Earth and QGIS open-source software. The study area was located in North-Eastern dry Sone of Karnataka at 16˚ 51' 45\\\" to 16˚ 59' 14\\\" N latitude and 77˚ 9' 3\\\" to 77˚ 20' 14\\\" E longitude and elevation ranges from 436m to 622m above amsl. The study area falls under the Survey of India toposheet of E43X1 and E43X5 with an area of 138sq.km. Various Thematic maps were developed using Google Earth and QGIS such as DEM, slope, drainage, waterbodies, flow direction, aspect, hillshade, contour, vegetation and soil maps. From the study we found that there were in total of eleven waterbodies as per SOI toposheets (1960-61) and when compared with Google Earth, only eight waterbodies were found having that too with lesser water spread area as compared with toposheet. The soils in the area were classified into seven classes out of which the fine, mixed and lithic ustropepts occupies the maximum area followed by the rock/scrub land. By mapping of vegetation, we found that the total area coverage was 3456.95 ha which accounts to 24.99% of the total area. This study made a conclusion that Google Earth, QGIS and Toposheet can be used in combination for the mapping, identification and change detection of primary resources.\",\"PeriodicalId\":506431,\"journal\":{\"name\":\"International Journal of Environment and Climate Change\",\"volume\":\"94 4\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Environment and Climate Change\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.9734/ijecc/2024/v14i74287\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Environment and Climate Change","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9734/ijecc/2024/v14i74287","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

使用谷歌地球和 QGIS 开放源码软件对 Yadagiri 地区 Hattikuni 流域的土壤、水和植被进行了识别和绘图研究。研究区域位于卡纳塔克邦东北部干燥的索尼地区,北纬 16˚ 51' 45" 至 16˚ 59' 14",东经 77˚ 9' 3" 至 77˚ 20' 14",海拔高度为 436 米至 622 米。研究区域属于印度测量局 E43X1 和 E43X5 地形图范围,面积为 138 平方公里。使用谷歌地球和 QGIS 绘制了各种专题地图,如 DEM、坡度、排水系统、水体、流向、坡度、山影、等高线、植被和土壤图。研究发现,根据 SOI 地形图(1960-61 年),该地区共有 11 个水体,而与谷歌地球相比,只有 8 个水体的水域面积小于地形图。该地区的土壤分为七类,其中细粒土壤、混合土壤和石质土壤占地面积最大,其次是岩石/灌木林地。通过绘制植被图,我们发现总面积为 3456.95 公顷,占总面积的 24.99%。这项研究得出结论,谷歌地球、QGIS 和地形图可结合使用,用于原始资源的绘图、识别和变化检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Identification and Mapping of Soil, Water and Vegetation of Hattikuni Watershed
A study on identification and mapping of soil, water and vegetation of Hattikuni watershed in Yadagiri district was carried out using Google Earth and QGIS open-source software. The study area was located in North-Eastern dry Sone of Karnataka at 16˚ 51' 45" to 16˚ 59' 14" N latitude and 77˚ 9' 3" to 77˚ 20' 14" E longitude and elevation ranges from 436m to 622m above amsl. The study area falls under the Survey of India toposheet of E43X1 and E43X5 with an area of 138sq.km. Various Thematic maps were developed using Google Earth and QGIS such as DEM, slope, drainage, waterbodies, flow direction, aspect, hillshade, contour, vegetation and soil maps. From the study we found that there were in total of eleven waterbodies as per SOI toposheets (1960-61) and when compared with Google Earth, only eight waterbodies were found having that too with lesser water spread area as compared with toposheet. The soils in the area were classified into seven classes out of which the fine, mixed and lithic ustropepts occupies the maximum area followed by the rock/scrub land. By mapping of vegetation, we found that the total area coverage was 3456.95 ha which accounts to 24.99% of the total area. This study made a conclusion that Google Earth, QGIS and Toposheet can be used in combination for the mapping, identification and change detection of primary resources.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Study on Soil Particle Distribution and Nutrient Availability in Maize-productive Zones of Jagtial District, Telangana, India A Study on Soil Particle Distribution and Nutrient Availability in Maize-productive Zones of Jagtial District, Telangana, India Agro-ecological Alternatives for Fall Armyworm Management in Maize: A Review Identification of Groundwater Potential Zones in Wakawali Watershed Using Remote Sensing and Geographic Information System (GIS) Influence of Varieties and Sowing Dates on Growth, Yield Attributes and Yield of Chickpea (Cicer arietinum L.) under Delayed Sowing
×
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