Satellite remote sensing and the management of invasive species

N. Pettorelli
{"title":"Satellite remote sensing and the management of invasive species","authors":"N. Pettorelli","doi":"10.1093/OSO/9780198717263.003.0005","DOIUrl":null,"url":null,"abstract":"This chapter reviews opportunities for satellite remote sensing approaches to support the management of invasive species, starting by providing clear definitions of what invasive species are, in comparison, for example, with alien or exotic species. It provides an overview of sensors and approaches most relevant to the direct tracking of invasive plant species, and then expands this overview to methodologies and satellite-derived variables that can be used to predict the distribution range of invasive plant and animal species. The contribution demonstrates how satellite remote sensing information can ultimately aid optimisation of control mechanisms to prevent further spread and minimise their impacts. The various case studies introduced in this part of the book are used to discuss a number of key principles, such as the importance of the spatial and spectral configuration for reliably determining the distribution and patch sizes of invasive alien plant species; and the importance of taking into account the ecology as well as the morphological and structural features of the target species when trying to identify suitable remote sensing-based monitoring approaches.","PeriodicalId":154360,"journal":{"name":"Satellite Remote Sensing and the Management of Natural Resources","volume":"130 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Satellite Remote Sensing and the Management of Natural Resources","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/OSO/9780198717263.003.0005","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

This chapter reviews opportunities for satellite remote sensing approaches to support the management of invasive species, starting by providing clear definitions of what invasive species are, in comparison, for example, with alien or exotic species. It provides an overview of sensors and approaches most relevant to the direct tracking of invasive plant species, and then expands this overview to methodologies and satellite-derived variables that can be used to predict the distribution range of invasive plant and animal species. The contribution demonstrates how satellite remote sensing information can ultimately aid optimisation of control mechanisms to prevent further spread and minimise their impacts. The various case studies introduced in this part of the book are used to discuss a number of key principles, such as the importance of the spatial and spectral configuration for reliably determining the distribution and patch sizes of invasive alien plant species; and the importance of taking into account the ecology as well as the morphological and structural features of the target species when trying to identify suitable remote sensing-based monitoring approaches.
卫星遥感与入侵物种管理
本章回顾了卫星遥感方法支持入侵物种管理的机会,首先提供了入侵物种的明确定义,例如与外来物种或外来物种进行比较。它概述了与直接跟踪入侵植物物种最相关的传感器和方法,然后将这一概述扩展到可用于预测入侵动植物物种分布范围的方法和卫星衍生变量。这一贡献表明,卫星遥感信息如何最终有助于优化控制机制,以防止其进一步扩散并尽量减少其影响。本书这一部分介绍的各种案例研究用于讨论一些关键原则,例如空间和光谱配置对于可靠地确定外来入侵植物物种的分布和斑块大小的重要性;在试图确定合适的基于遥感的监测方法时,考虑到目标物种的生态以及形态和结构特征的重要性。
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
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