Natural and revitalized grassy ecosystems as biodiversity refuges: on the abilities of remote sensing for their detection and study

Author:

Bavrina A Y,Denisova A Y,Kavelenova L M,Korchikov E S,Kuzovenko O A,Makarova Y V,Prokhorova N V,Terentyeva D A,Fedoseev V A

Abstract

Abstract The natural and revitalized on the place of former fields grassy ecosystems can be the refuges (places of conservation in natural conditions) for many types of rare plant species. Such ecosystems are of great interest for the environment exploration and management activities planning over many countries including EU and USA. Samara region territory demonstrates the residual nature of grassy ecosystems as a result of intensive agricultural exploration of virgin grasslands, located here at the past. Consolidative usage of remote sensing data and ground-based surveys is the common practice nowadays. This paper describes the possibilities of high-nature value grasslands classification in Samara Region using intra-annual time series of multispectral remote sensing data of medium spatial resolution with the use of spotted ground-based surveys. Investigations engage the training set generation for the large natural vegetation communities with ground-based survey optimization and include the classification results for two vast grassland objects with protected status.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference35 articles.

1. Conservation of lowland semi-natural grasslands in the UK: a review of botanical monitoring results from agri-environment schemes;Critchley;Biological Conservation,2003

2. Identifying and managing the conflicts between agriculture and biodiversity conservation in Europe–A review;Henle;Agricultural Ecosystems and Environment,2008

3. Ecological impacts of early 21st century agricultural change in Europe–a review;Stoate;Environmental Management,2009

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Scientific School of Academician V.A. Soifer in the Field of Processing, Analysis, and Recognition of Images and Optical Signals;Pattern Recognition and Image Analysis;2023-12

2. Samara scientific school of digital image processing;2020 International Conference on Information Technology and Nanotechnology (ITNT);2020-05-26

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3