Dynamic mapping of disturbed lands using remote sensing data

Author:

Artemeva Olga1,Bakulev Aleksandr1,Pozdnyakova Natalya1,Tyurin Sergey1

Affiliation:

1. Saint Petersburg State University, Institute of Earth Sciences, Universitetskaya nab., 7–9, 199034, St-Petersburg, Russia;

Abstract

Due to the increase in the areas of disturbed lands, the relevance of developing methods and methods for obtaining and analyzing spatial data in order to make decisions on rational nature management is increasing every year. Monitoring of natural and anthropogenic systems is largely related to the collection, analysis and visualization of dynamic processes, so the technologies for compiling of dynamic maps are at the peak of relevance. A number of factors necessitate the using of dynamic geoimages. Firstly, these images are an inseparable combination of spatial-temporal links on the certain areas. Secondly, it is the possibility of a full-fledged analysis of spatial changes taking into account time. Thirdly, it is the forecasting of natural and socio-economic factors and phenomena. In addition, dynamic mapping opens up opportunities for multimedia data visualization, which increases the observer’s perception of geoimages by several times with the focus on specific objects. Remote sensing data is one of the main sources for compiling and updating thematic dynamic maps. This article demonstrates the development of the method for creating working layers used in geographic information systems (GIS) for compiling dynamic maps using remote sensing data. The authors note a distinctive feature of the methodology: it is aimed at a wide range of users who do not fully have the skills and abilities to work with remote sensing data. These are managers of any level, whose direct work is not related to the compiling of geo-images, but whose competence is to make managerial decisions. Another advantage of the described methods is its implementation in an open source GIS (QGIS), as well as its application not only for single images, but also for a mosaic image. The article presents a description of the entire path from image processing to the creation of visual images. Disturbed lands of the Zabaykalsky Krai of the Russian Federation were chosen as a special example of working polygons. These territories have a large number of environmental problems, causing an increase in the areas of disturbed lands: open pits, an increase in the number of mining and processing factories, degradation of agricultural and forest lands due to anthropogenic activities and erosion processes, active seismic processes, mudflows and avalanche hazard.

Publisher

LLC Kartfond

Subject

General Engineering

Reference15 articles.

1. Apkin R.N., Minakova E.A. Environmental monitoring. Kazan: KSEU, 2013. 255 p. (in Russian).

2. Artemeva O.V., Bakulev A.S., Danilova O.I. Experience in creating maps of urban development dynamics based on remote sensing data. Collection of scientific works “Modern problems of geography”. 2020. Vol. 5. P. 7–12 (in Russian).

3. Artemeva O., Zareie S., Elhaei Y., Pozdnyakova N., Vasilev N. Using remote sensing data to create maps of vegetation and relief for natural resource management of a large administrative region. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2019. Vol. XLII-4/W18. P. 103–109.

4. Berlyant A.M. Geoinformation mapping. Moscow: Russian Academy of Natural Sciences, 1997. P. 16–18 (in Russian).

5. Bhandari A., Kumar R., Singh G. Feature Extraction using Normalized Difference Vegetation Index (NDVI): a Case Study of Jabalpur City; Elsevier Ltd. Selection and peer-review under responsibility of the Department of Computer Science & Engineering, National Institute of Technology Rourkela. 2012. DOI: 10.1016/j.protcy.2012.10.074).

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