Loading…
GIS-Based approaches to the assessment of the state of terrestrial ecosystems in the Norilsk Industrial Region
The degree of vegetation disturbance is assessed using the ENVISAT MERIS multispectral satellite sensor. The temporal dynamics of the terrestrial ecosystems is analyzed using SPOT VEGETATION multitemporal satellite data. Spatial regression models are developed for approximating the exceedances of ba...
Saved in:
Published in: | Contemporary problems of ecology 2014-11, Vol.7 (6), p.643-653 |
---|---|
Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c349t-da2dc785802302ddf0b0c2c0c62f4c5902377b389745e1673b7f2cba7c369a0b3 |
---|---|
cites | cdi_FETCH-LOGICAL-c349t-da2dc785802302ddf0b0c2c0c62f4c5902377b389745e1673b7f2cba7c369a0b3 |
container_end_page | 653 |
container_issue | 6 |
container_start_page | 643 |
container_title | Contemporary problems of ecology |
container_volume | 7 |
creator | Korets, M. A. Ryzhkova, V. A. Danilova, I. V. |
description | The degree of vegetation disturbance is assessed using the ENVISAT MERIS multispectral satellite sensor. The temporal dynamics of the terrestrial ecosystems is analyzed using SPOT VEGETATION multitemporal satellite data. Spatial regression models are developed for approximating the exceedances of background concentration levels of heavy metals and sulfur in various components of terrestrial ecosystems. Degrees of vegetation disturbance and territory pollution are evaluated using a scoring system. Territorial zoning by the degree of vegetation disturbance is carried out. All the procedures have been conducted based on ground surveys of key sites of ground pollution (2001–2004) of the Norilsk Industrial Region and remote sensing data (1998–2004). |
doi_str_mv | 10.1134/S1995425514060067 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1647010477</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3537732541</sourcerecordid><originalsourceid>FETCH-LOGICAL-c349t-da2dc785802302ddf0b0c2c0c62f4c5902377b389745e1673b7f2cba7c369a0b3</originalsourceid><addsrcrecordid>eNp1kU1Lw0AQhoMoWKs_wFvAi5fofma7Ry1aC0XB6jlsNpM2NcnWneTQf-_2AxHF08y8PO_wDhNFl5TcUMrF7ZxqLQWTkgqSEpKqo2iwlRLBUn783Ut5Gp0hrgIhteSDqJ1M58m9QShis157Z-wSMO5c3C0hNoiA2EDbxa7cKdiZDnYDeA_Y-crUMViHG-ygwbhqd9iz81WNH_G0LfoD9AqLyrXn0UlpaoSLQx1G748Pb-OnZPYymY7vZonlQndJYVhh1UiOCOOEFUVJcmKZJTZlpbBSB1mpnI-0EhJoqniuSmZzoyxPtSE5H0bX-73hpM8-BM2aCi3UtWnB9ZjRVChCiVAqoFe_0JXrfRvSbSkitaY8DRTdU9Y7RA9ltvZVY_wmoyTbfiD784HgYXsPBrZdgP-x-V_TFzMdh8E</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1640599136</pqid></control><display><type>article</type><title>GIS-Based approaches to the assessment of the state of terrestrial ecosystems in the Norilsk Industrial Region</title><source>Springer Link</source><creator>Korets, M. A. ; Ryzhkova, V. A. ; Danilova, I. V.</creator><creatorcontrib>Korets, M. A. ; Ryzhkova, V. A. ; Danilova, I. V.</creatorcontrib><description>The degree of vegetation disturbance is assessed using the ENVISAT MERIS multispectral satellite sensor. The temporal dynamics of the terrestrial ecosystems is analyzed using SPOT VEGETATION multitemporal satellite data. Spatial regression models are developed for approximating the exceedances of background concentration levels of heavy metals and sulfur in various components of terrestrial ecosystems. Degrees of vegetation disturbance and territory pollution are evaluated using a scoring system. Territorial zoning by the degree of vegetation disturbance is carried out. All the procedures have been conducted based on ground surveys of key sites of ground pollution (2001–2004) of the Norilsk Industrial Region and remote sensing data (1998–2004).</description><identifier>ISSN: 1995-4255</identifier><identifier>EISSN: 1995-4263</identifier><identifier>DOI: 10.1134/S1995425514060067</identifier><language>eng</language><publisher>Moscow: Pleiades Publishing</publisher><subject>Biomedical and Life Sciences ; Ecology ; Geographic information systems ; Heavy metals ; Industrial areas ; Industrial pollution ; Life Sciences ; Metal concentrations ; Remote sensing ; Sulfur ; Terrestrial ecosystems ; Vegetation</subject><ispartof>Contemporary problems of ecology, 2014-11, Vol.7 (6), p.643-653</ispartof><rights>Pleiades Publishing, Ltd. 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c349t-da2dc785802302ddf0b0c2c0c62f4c5902377b389745e1673b7f2cba7c369a0b3</citedby><cites>FETCH-LOGICAL-c349t-da2dc785802302ddf0b0c2c0c62f4c5902377b389745e1673b7f2cba7c369a0b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Korets, M. A.</creatorcontrib><creatorcontrib>Ryzhkova, V. A.</creatorcontrib><creatorcontrib>Danilova, I. V.</creatorcontrib><title>GIS-Based approaches to the assessment of the state of terrestrial ecosystems in the Norilsk Industrial Region</title><title>Contemporary problems of ecology</title><addtitle>Contemp. Probl. Ecol</addtitle><description>The degree of vegetation disturbance is assessed using the ENVISAT MERIS multispectral satellite sensor. The temporal dynamics of the terrestrial ecosystems is analyzed using SPOT VEGETATION multitemporal satellite data. Spatial regression models are developed for approximating the exceedances of background concentration levels of heavy metals and sulfur in various components of terrestrial ecosystems. Degrees of vegetation disturbance and territory pollution are evaluated using a scoring system. Territorial zoning by the degree of vegetation disturbance is carried out. All the procedures have been conducted based on ground surveys of key sites of ground pollution (2001–2004) of the Norilsk Industrial Region and remote sensing data (1998–2004).</description><subject>Biomedical and Life Sciences</subject><subject>Ecology</subject><subject>Geographic information systems</subject><subject>Heavy metals</subject><subject>Industrial areas</subject><subject>Industrial pollution</subject><subject>Life Sciences</subject><subject>Metal concentrations</subject><subject>Remote sensing</subject><subject>Sulfur</subject><subject>Terrestrial ecosystems</subject><subject>Vegetation</subject><issn>1995-4255</issn><issn>1995-4263</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNp1kU1Lw0AQhoMoWKs_wFvAi5fofma7Ry1aC0XB6jlsNpM2NcnWneTQf-_2AxHF08y8PO_wDhNFl5TcUMrF7ZxqLQWTkgqSEpKqo2iwlRLBUn783Ut5Gp0hrgIhteSDqJ1M58m9QShis157Z-wSMO5c3C0hNoiA2EDbxa7cKdiZDnYDeA_Y-crUMViHG-ygwbhqd9iz81WNH_G0LfoD9AqLyrXn0UlpaoSLQx1G748Pb-OnZPYymY7vZonlQndJYVhh1UiOCOOEFUVJcmKZJTZlpbBSB1mpnI-0EhJoqniuSmZzoyxPtSE5H0bX-73hpM8-BM2aCi3UtWnB9ZjRVChCiVAqoFe_0JXrfRvSbSkitaY8DRTdU9Y7RA9ltvZVY_wmoyTbfiD784HgYXsPBrZdgP-x-V_TFzMdh8E</recordid><startdate>20141101</startdate><enddate>20141101</enddate><creator>Korets, M. A.</creator><creator>Ryzhkova, V. A.</creator><creator>Danilova, I. V.</creator><general>Pleiades Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SN</scope><scope>7SS</scope><scope>7XB</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M2P</scope><scope>M7P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>7TV</scope></search><sort><creationdate>20141101</creationdate><title>GIS-Based approaches to the assessment of the state of terrestrial ecosystems in the Norilsk Industrial Region</title><author>Korets, M. A. ; Ryzhkova, V. A. ; Danilova, I. V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c349t-da2dc785802302ddf0b0c2c0c62f4c5902377b389745e1673b7f2cba7c369a0b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Biomedical and Life Sciences</topic><topic>Ecology</topic><topic>Geographic information systems</topic><topic>Heavy metals</topic><topic>Industrial areas</topic><topic>Industrial pollution</topic><topic>Life Sciences</topic><topic>Metal concentrations</topic><topic>Remote sensing</topic><topic>Sulfur</topic><topic>Terrestrial ecosystems</topic><topic>Vegetation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Korets, M. A.</creatorcontrib><creatorcontrib>Ryzhkova, V. A.</creatorcontrib><creatorcontrib>Danilova, I. V.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Science Journals (ProQuest Database)</collection><collection>ProQuest Biological Science Journals</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Pollution Abstracts</collection><jtitle>Contemporary problems of ecology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Korets, M. A.</au><au>Ryzhkova, V. A.</au><au>Danilova, I. V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>GIS-Based approaches to the assessment of the state of terrestrial ecosystems in the Norilsk Industrial Region</atitle><jtitle>Contemporary problems of ecology</jtitle><stitle>Contemp. Probl. Ecol</stitle><date>2014-11-01</date><risdate>2014</risdate><volume>7</volume><issue>6</issue><spage>643</spage><epage>653</epage><pages>643-653</pages><issn>1995-4255</issn><eissn>1995-4263</eissn><abstract>The degree of vegetation disturbance is assessed using the ENVISAT MERIS multispectral satellite sensor. The temporal dynamics of the terrestrial ecosystems is analyzed using SPOT VEGETATION multitemporal satellite data. Spatial regression models are developed for approximating the exceedances of background concentration levels of heavy metals and sulfur in various components of terrestrial ecosystems. Degrees of vegetation disturbance and territory pollution are evaluated using a scoring system. Territorial zoning by the degree of vegetation disturbance is carried out. All the procedures have been conducted based on ground surveys of key sites of ground pollution (2001–2004) of the Norilsk Industrial Region and remote sensing data (1998–2004).</abstract><cop>Moscow</cop><pub>Pleiades Publishing</pub><doi>10.1134/S1995425514060067</doi><tpages>11</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1995-4255 |
ispartof | Contemporary problems of ecology, 2014-11, Vol.7 (6), p.643-653 |
issn | 1995-4255 1995-4263 |
language | eng |
recordid | cdi_proquest_miscellaneous_1647010477 |
source | Springer Link |
subjects | Biomedical and Life Sciences Ecology Geographic information systems Heavy metals Industrial areas Industrial pollution Life Sciences Metal concentrations Remote sensing Sulfur Terrestrial ecosystems Vegetation |
title | GIS-Based approaches to the assessment of the state of terrestrial ecosystems in the Norilsk Industrial Region |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T09%3A44%3A25IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=GIS-Based%20approaches%20to%20the%20assessment%20of%20the%20state%20of%20terrestrial%20ecosystems%20in%20the%20Norilsk%20Industrial%20Region&rft.jtitle=Contemporary%20problems%20of%20ecology&rft.au=Korets,%20M.%20A.&rft.date=2014-11-01&rft.volume=7&rft.issue=6&rft.spage=643&rft.epage=653&rft.pages=643-653&rft.issn=1995-4255&rft.eissn=1995-4263&rft_id=info:doi/10.1134/S1995425514060067&rft_dat=%3Cproquest_cross%3E3537732541%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c349t-da2dc785802302ddf0b0c2c0c62f4c5902377b389745e1673b7f2cba7c369a0b3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1640599136&rft_id=info:pmid/&rfr_iscdi=true |