植被供水指数快速提取方法:利用HJ-1B卫星数据

Zhuowei Hu, Meichen Guo, Minbin Jiang, Lai Wei, Shuo Zhang
{"title":"植被供水指数快速提取方法:利用HJ-1B卫星数据","authors":"Zhuowei Hu, Meichen Guo, Minbin Jiang, Lai Wei, Shuo Zhang","doi":"10.1109/Geoinformatics.2012.6270259","DOIUrl":null,"url":null,"abstract":"Featured by high resolution and broad bandwidth, HJ-1B satellite data have great potential and wide application in the research of surface temperature inversion. However, in China products generated from remote sensing index data are rare, and how to quickly make remote sensing data products is an important issue. In this study we designed a processing method for calculating the vegetation water supplying index data with ERDAS. The results showed that this model can work very well in many researches as it has high accuracy and efficiency.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The method for rapid extraction of vegetation supply water index: Using HJ-1B satellite data\",\"authors\":\"Zhuowei Hu, Meichen Guo, Minbin Jiang, Lai Wei, Shuo Zhang\",\"doi\":\"10.1109/Geoinformatics.2012.6270259\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Featured by high resolution and broad bandwidth, HJ-1B satellite data have great potential and wide application in the research of surface temperature inversion. However, in China products generated from remote sensing index data are rare, and how to quickly make remote sensing data products is an important issue. In this study we designed a processing method for calculating the vegetation water supplying index data with ERDAS. The results showed that this model can work very well in many researches as it has high accuracy and efficiency.\",\"PeriodicalId\":259976,\"journal\":{\"name\":\"2012 20th International Conference on Geoinformatics\",\"volume\":\"78 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 20th International Conference on Geoinformatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/Geoinformatics.2012.6270259\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 20th International Conference on Geoinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Geoinformatics.2012.6270259","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

HJ-1B卫星数据具有高分辨率、宽带宽的特点,在地表温度反演研究中具有巨大的潜力和广泛的应用前景。然而,在中国,由遥感指数数据生成的产品很少,如何快速制作遥感数据产品是一个重要的问题。本文设计了一种利用ERDAS计算植被供水指数数据的处理方法。结果表明,该模型具有较高的精度和效率,可以很好地应用于许多研究中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The method for rapid extraction of vegetation supply water index: Using HJ-1B satellite data
Featured by high resolution and broad bandwidth, HJ-1B satellite data have great potential and wide application in the research of surface temperature inversion. However, in China products generated from remote sensing index data are rare, and how to quickly make remote sensing data products is an important issue. In this study we designed a processing method for calculating the vegetation water supplying index data with ERDAS. The results showed that this model can work very well in many researches as it has high accuracy and efficiency.
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信