基于植被指数VARI (PlanetScope)的农作物杂草检测技术

M. Erunova, T. Pisman, Anatoliy P. Shevyrnogov
{"title":"基于植被指数VARI (PlanetScope)的农作物杂草检测技术","authors":"M. Erunova, T. Pisman, Anatoliy P. Shevyrnogov","doi":"10.17516/1999-494x-0314","DOIUrl":null,"url":null,"abstract":"The aim of the work is to develop techniques for detecting weediness in agricultural crops based on the use of the VARI vegetation index, calculated from the PlanetScope satellite data. The territories of the Krasnoyarsk Agricultural Research Institute of the Federal Research Center of the Krasnoyarsk Science Center of SB RAS near the village Minino (Central Siberia, Krasnoyarsk Region) were used as the object of the research. To calculate the vegetation index VARI of grain crops, the algorithm for receiving and processing PlanetScope satellite data was developed. On its basis, a map of the spatial distribution of the VARI index for wheat crops with various degrees of weediness was made. According to the satellite data of PlanetScope (VARI), possibility to interpret the areas of wheat sowing with a high and low degree of weediness during the growing season is shown. It was revealed that the VARI value of wheat crops with a low degree of infestation is greater than the VARI value of wheat crops with a high degree of infestation","PeriodicalId":17206,"journal":{"name":"Journal of Siberian Federal University: Engineering & Technologies","volume":"89 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The Technology for Detecting Weeds in Agricultural Crops Based on Vegetation Index VARI (PlanetScope)\",\"authors\":\"M. Erunova, T. Pisman, Anatoliy P. Shevyrnogov\",\"doi\":\"10.17516/1999-494x-0314\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of the work is to develop techniques for detecting weediness in agricultural crops based on the use of the VARI vegetation index, calculated from the PlanetScope satellite data. The territories of the Krasnoyarsk Agricultural Research Institute of the Federal Research Center of the Krasnoyarsk Science Center of SB RAS near the village Minino (Central Siberia, Krasnoyarsk Region) were used as the object of the research. To calculate the vegetation index VARI of grain crops, the algorithm for receiving and processing PlanetScope satellite data was developed. On its basis, a map of the spatial distribution of the VARI index for wheat crops with various degrees of weediness was made. According to the satellite data of PlanetScope (VARI), possibility to interpret the areas of wheat sowing with a high and low degree of weediness during the growing season is shown. It was revealed that the VARI value of wheat crops with a low degree of infestation is greater than the VARI value of wheat crops with a high degree of infestation\",\"PeriodicalId\":17206,\"journal\":{\"name\":\"Journal of Siberian Federal University: Engineering & Technologies\",\"volume\":\"89 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Siberian Federal University: Engineering & Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17516/1999-494x-0314\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Siberian Federal University: Engineering & Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17516/1999-494x-0314","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

这项工作的目的是根据利用PlanetScope卫星数据计算的VARI植被指数,开发检测农作物杂草的技术。SB RAS的克拉斯诺亚尔斯克科学中心联邦研究中心克拉斯诺亚尔斯克农业研究所的领土在Minino村附近(西伯利亚中部,克拉斯诺亚尔斯克地区)被用作研究对象。为了计算粮食作物植被指数VARI,开发了PlanetScope卫星数据的接收和处理算法。在此基础上,绘制了不同杂草程度小麦作物VARI指数的空间分布图。根据PlanetScope (VARI)卫星数据,给出了小麦生长季杂草程度高低的播种区域解译的可能性。结果表明,低侵染程度小麦的VARI值大于高侵染程度小麦的VARI值
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Technology for Detecting Weeds in Agricultural Crops Based on Vegetation Index VARI (PlanetScope)
The aim of the work is to develop techniques for detecting weediness in agricultural crops based on the use of the VARI vegetation index, calculated from the PlanetScope satellite data. The territories of the Krasnoyarsk Agricultural Research Institute of the Federal Research Center of the Krasnoyarsk Science Center of SB RAS near the village Minino (Central Siberia, Krasnoyarsk Region) were used as the object of the research. To calculate the vegetation index VARI of grain crops, the algorithm for receiving and processing PlanetScope satellite data was developed. On its basis, a map of the spatial distribution of the VARI index for wheat crops with various degrees of weediness was made. According to the satellite data of PlanetScope (VARI), possibility to interpret the areas of wheat sowing with a high and low degree of weediness during the growing season is shown. It was revealed that the VARI value of wheat crops with a low degree of infestation is greater than the VARI value of wheat crops with a high degree of infestation
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