Assessment of yield loss due to fall armyworm in maize using high-resolution multispectral spaceborne remote sensing

IF 3 3区 地球科学 Q2 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
Prabhakar Mathyam, Gopinath Kodigal A, Ravi Kumar Nakka, Thirupathi Merugu, Sai Sravan Uppu, Srasvan Kumar Golla, Samba Siva Gutti, Chandana Pebbeti, Suryakala Adhikari, Vinod Kumar Singh
{"title":"Assessment of yield loss due to fall armyworm in maize using high-resolution multispectral spaceborne remote sensing","authors":"Prabhakar Mathyam, Gopinath Kodigal A, Ravi Kumar Nakka, Thirupathi Merugu, Sai Sravan Uppu, Srasvan Kumar Golla, Samba Siva Gutti, Chandana Pebbeti, Suryakala Adhikari, Vinod Kumar Singh","doi":"10.1080/01431161.2024.2394233","DOIUrl":null,"url":null,"abstract":"The fall armyworm (FAW), Spodoptera frugiperda (J.E. Smith), invasion endangered the maize production worldwide, including India. The objective of this study was to quantify the FAW damage severity...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":"53 79 1","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Remote Sensing","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/01431161.2024.2394233","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

The fall armyworm (FAW), Spodoptera frugiperda (J.E. Smith), invasion endangered the maize production worldwide, including India. The objective of this study was to quantify the FAW damage severity...
利用高分辨率多谱段空间遥感技术评估玉米秋虫造成的产量损失
秋虫(FAW)--Spodoptera frugiperda (J.E. Smith)--的入侵危及包括印度在内的全球玉米生产。这项研究的目的是量化FAW的危害严重程度...
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 求助全文
来源期刊
International Journal of Remote Sensing
International Journal of Remote Sensing 工程技术-成像科学与照相技术
CiteScore
7.00
自引率
5.90%
发文量
219
审稿时长
4.8 months
期刊介绍: The International Journal of Remote Sensing ( IJRS) is concerned with the theory, science and technology of remote sensing and novel applications of remotely sensed data. The journal’s focus includes remote sensing of the atmosphere, biosphere, cryosphere and the terrestrial earth, as well as human modifications to the earth system. Principal topics include: • Remotely sensed data collection, analysis, interpretation and display. • Surveying from space, air, water and ground platforms. • Imaging and related sensors. • Image processing. • Use of remotely sensed data. • Economic surveys and cost-benefit analyses. • Drones Section: Remote sensing with unmanned aerial systems (UASs, also known as unmanned aerial vehicles (UAVs), or drones).
×
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