Wetland Monitoring, Serving as an Index of Land Use Change-A Study in Samaspur Wetlands, Uttar Pradesh, India

Wetlands are among the most productive ecosystems in the world and any alterations might lead to changes in their bio-physical, socio-economic and climatic conditions. Wetland dynamics as an index of land use change were studied. Satellite remote sensing was utilized to understand the periodic and s...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of the Indian Society of Remote Sensing 2012-06, Vol.40 (2), p.287-297
Hauptverfasser: Behera, M. D, Chitale, V. S, Shaw, A, Roy, P. S, Murthy, M. S. R
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 297
container_issue 2
container_start_page 287
container_title Journal of the Indian Society of Remote Sensing
container_volume 40
creator Behera, M. D
Chitale, V. S
Shaw, A
Roy, P. S
Murthy, M. S. R
description Wetlands are among the most productive ecosystems in the world and any alterations might lead to changes in their bio-physical, socio-economic and climatic conditions. Wetland dynamics as an index of land use change were studied. Satellite remote sensing was utilized to understand the periodic and seasonal dynamics of Samaspur wetlands using Landsat and RESOURCESAT-1 temporal data. Index-based (i.e., Normalized Difference Water Index (NDWI) and Normalized Difference Vegetation Index (NDVI)) classification resulted in meaningful discrimination of wetland classes. Results indicate (i) effective water spread areas have increased to optimum capacity at 1990 due to the influence of Sharda canal, (ii) expansion of the agricultural area has led to reduction of the wetland buffer area, and (iii) increase in vegetation biomass due to pesticide-fertilizer runoff and sedimentation load. We also reiterate (i) free availability of the Landsat satellite data in public domain facilitating such monitoring studies and (ii) availability and utility of SWIR band information in wetland classification exercise. The study concludes that policy-driven measures have both long and short term impacts on land use and its natural wetland ecosystems; and the characterizing the later serves as indictor of the former and perhaps vice versa.
doi_str_mv 10.1007/s12524-011-0139-6
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1819142093</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1819142093</sourcerecordid><originalsourceid>FETCH-LOGICAL-c345t-6f34fb4acb1eeebc735b3205b500c3f868c2915d75de7037bf7668b62adfaa863</originalsourceid><addsrcrecordid>eNp9kE1Lw0AQhoMoWKs_wJN79NDo7G52kxyl-FGoKMSgt2WS7LYpzYe7idh_b0J69jDMMLzvy8zjedcU7ihAeO8oEyzwgdKheOzLE28GcRj4HECeDjMTwpcSvs69C-d2wzIQlM286lN3e6wL8trUZdfYst4sSKLtzzAQdARrsqoL_UsaQ9ajLnWaLLdYb7T_QJKuLw6krEmCFbq2t-QY5xYk7Tq05N1iod12MaaUeOmdGdw7fXXscy99evxYvvjrt-fV8mHt5zwQnS8ND0wWYJ5RrXWWh1xknIHIBEDOTSSjnMVUFKEodAg8zEwoZZRJhoVBjCSfe7dTbmub7167TlWly_V-OE03vVM0ojENGMR8kNJJmtvGOauNam1ZoT0oCmpEqya0akCrRrRqjGeTx7UjMG3VrultPXz0r-lmMhlsFG5s6VSaMKASAISMBON_R16Edw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1819142093</pqid></control><display><type>article</type><title>Wetland Monitoring, Serving as an Index of Land Use Change-A Study in Samaspur Wetlands, Uttar Pradesh, India</title><source>SpringerNature Journals</source><creator>Behera, M. D ; Chitale, V. S ; Shaw, A ; Roy, P. S ; Murthy, M. S. R</creator><creatorcontrib>Behera, M. D ; Chitale, V. S ; Shaw, A ; Roy, P. S ; Murthy, M. S. R</creatorcontrib><description>Wetlands are among the most productive ecosystems in the world and any alterations might lead to changes in their bio-physical, socio-economic and climatic conditions. Wetland dynamics as an index of land use change were studied. Satellite remote sensing was utilized to understand the periodic and seasonal dynamics of Samaspur wetlands using Landsat and RESOURCESAT-1 temporal data. Index-based (i.e., Normalized Difference Water Index (NDWI) and Normalized Difference Vegetation Index (NDVI)) classification resulted in meaningful discrimination of wetland classes. Results indicate (i) effective water spread areas have increased to optimum capacity at 1990 due to the influence of Sharda canal, (ii) expansion of the agricultural area has led to reduction of the wetland buffer area, and (iii) increase in vegetation biomass due to pesticide-fertilizer runoff and sedimentation load. We also reiterate (i) free availability of the Landsat satellite data in public domain facilitating such monitoring studies and (ii) availability and utility of SWIR band information in wetland classification exercise. The study concludes that policy-driven measures have both long and short term impacts on land use and its natural wetland ecosystems; and the characterizing the later serves as indictor of the former and perhaps vice versa.</description><identifier>ISSN: 0255-660X</identifier><identifier>EISSN: 0974-3006</identifier><identifier>DOI: 10.1007/s12524-011-0139-6</identifier><language>eng</language><publisher>India: Springer-Verlag</publisher><subject>biomass ; climatic factors ; Earth and Environmental Science ; Earth Sciences ; ecosystems ; land use change ; Landsat ; Marine ; monitoring ; normalized difference vegetation index ; remote sensing ; Remote Sensing/Photogrammetry ; Research Article ; runoff ; socioeconomics ; vegetation ; wetland buffers ; wetlands</subject><ispartof>Journal of the Indian Society of Remote Sensing, 2012-06, Vol.40 (2), p.287-297</ispartof><rights>Indian Society of Remote Sensing 2011</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c345t-6f34fb4acb1eeebc735b3205b500c3f868c2915d75de7037bf7668b62adfaa863</citedby><cites>FETCH-LOGICAL-c345t-6f34fb4acb1eeebc735b3205b500c3f868c2915d75de7037bf7668b62adfaa863</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12524-011-0139-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12524-011-0139-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Behera, M. D</creatorcontrib><creatorcontrib>Chitale, V. S</creatorcontrib><creatorcontrib>Shaw, A</creatorcontrib><creatorcontrib>Roy, P. S</creatorcontrib><creatorcontrib>Murthy, M. S. R</creatorcontrib><title>Wetland Monitoring, Serving as an Index of Land Use Change-A Study in Samaspur Wetlands, Uttar Pradesh, India</title><title>Journal of the Indian Society of Remote Sensing</title><addtitle>J Indian Soc Remote Sens</addtitle><description>Wetlands are among the most productive ecosystems in the world and any alterations might lead to changes in their bio-physical, socio-economic and climatic conditions. Wetland dynamics as an index of land use change were studied. Satellite remote sensing was utilized to understand the periodic and seasonal dynamics of Samaspur wetlands using Landsat and RESOURCESAT-1 temporal data. Index-based (i.e., Normalized Difference Water Index (NDWI) and Normalized Difference Vegetation Index (NDVI)) classification resulted in meaningful discrimination of wetland classes. Results indicate (i) effective water spread areas have increased to optimum capacity at 1990 due to the influence of Sharda canal, (ii) expansion of the agricultural area has led to reduction of the wetland buffer area, and (iii) increase in vegetation biomass due to pesticide-fertilizer runoff and sedimentation load. We also reiterate (i) free availability of the Landsat satellite data in public domain facilitating such monitoring studies and (ii) availability and utility of SWIR band information in wetland classification exercise. The study concludes that policy-driven measures have both long and short term impacts on land use and its natural wetland ecosystems; and the characterizing the later serves as indictor of the former and perhaps vice versa.</description><subject>biomass</subject><subject>climatic factors</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>ecosystems</subject><subject>land use change</subject><subject>Landsat</subject><subject>Marine</subject><subject>monitoring</subject><subject>normalized difference vegetation index</subject><subject>remote sensing</subject><subject>Remote Sensing/Photogrammetry</subject><subject>Research Article</subject><subject>runoff</subject><subject>socioeconomics</subject><subject>vegetation</subject><subject>wetland buffers</subject><subject>wetlands</subject><issn>0255-660X</issn><issn>0974-3006</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNp9kE1Lw0AQhoMoWKs_wJN79NDo7G52kxyl-FGoKMSgt2WS7LYpzYe7idh_b0J69jDMMLzvy8zjedcU7ihAeO8oEyzwgdKheOzLE28GcRj4HECeDjMTwpcSvs69C-d2wzIQlM286lN3e6wL8trUZdfYst4sSKLtzzAQdARrsqoL_UsaQ9ajLnWaLLdYb7T_QJKuLw6krEmCFbq2t-QY5xYk7Tq05N1iod12MaaUeOmdGdw7fXXscy99evxYvvjrt-fV8mHt5zwQnS8ND0wWYJ5RrXWWh1xknIHIBEDOTSSjnMVUFKEodAg8zEwoZZRJhoVBjCSfe7dTbmub7167TlWly_V-OE03vVM0ojENGMR8kNJJmtvGOauNam1ZoT0oCmpEqya0akCrRrRqjGeTx7UjMG3VrultPXz0r-lmMhlsFG5s6VSaMKASAISMBON_R16Edw</recordid><startdate>20120601</startdate><enddate>20120601</enddate><creator>Behera, M. D</creator><creator>Chitale, V. S</creator><creator>Shaw, A</creator><creator>Roy, P. S</creator><creator>Murthy, M. S. R</creator><general>Springer-Verlag</general><scope>FBQ</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope></search><sort><creationdate>20120601</creationdate><title>Wetland Monitoring, Serving as an Index of Land Use Change-A Study in Samaspur Wetlands, Uttar Pradesh, India</title><author>Behera, M. D ; Chitale, V. S ; Shaw, A ; Roy, P. S ; Murthy, M. S. R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c345t-6f34fb4acb1eeebc735b3205b500c3f868c2915d75de7037bf7668b62adfaa863</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>biomass</topic><topic>climatic factors</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>ecosystems</topic><topic>land use change</topic><topic>Landsat</topic><topic>Marine</topic><topic>monitoring</topic><topic>normalized difference vegetation index</topic><topic>remote sensing</topic><topic>Remote Sensing/Photogrammetry</topic><topic>Research Article</topic><topic>runoff</topic><topic>socioeconomics</topic><topic>vegetation</topic><topic>wetland buffers</topic><topic>wetlands</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Behera, M. D</creatorcontrib><creatorcontrib>Chitale, V. S</creatorcontrib><creatorcontrib>Shaw, A</creatorcontrib><creatorcontrib>Roy, P. S</creatorcontrib><creatorcontrib>Murthy, M. S. R</creatorcontrib><collection>AGRIS</collection><collection>CrossRef</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><jtitle>Journal of the Indian Society of Remote Sensing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Behera, M. D</au><au>Chitale, V. S</au><au>Shaw, A</au><au>Roy, P. S</au><au>Murthy, M. S. R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Wetland Monitoring, Serving as an Index of Land Use Change-A Study in Samaspur Wetlands, Uttar Pradesh, India</atitle><jtitle>Journal of the Indian Society of Remote Sensing</jtitle><stitle>J Indian Soc Remote Sens</stitle><date>2012-06-01</date><risdate>2012</risdate><volume>40</volume><issue>2</issue><spage>287</spage><epage>297</epage><pages>287-297</pages><issn>0255-660X</issn><eissn>0974-3006</eissn><abstract>Wetlands are among the most productive ecosystems in the world and any alterations might lead to changes in their bio-physical, socio-economic and climatic conditions. Wetland dynamics as an index of land use change were studied. Satellite remote sensing was utilized to understand the periodic and seasonal dynamics of Samaspur wetlands using Landsat and RESOURCESAT-1 temporal data. Index-based (i.e., Normalized Difference Water Index (NDWI) and Normalized Difference Vegetation Index (NDVI)) classification resulted in meaningful discrimination of wetland classes. Results indicate (i) effective water spread areas have increased to optimum capacity at 1990 due to the influence of Sharda canal, (ii) expansion of the agricultural area has led to reduction of the wetland buffer area, and (iii) increase in vegetation biomass due to pesticide-fertilizer runoff and sedimentation load. We also reiterate (i) free availability of the Landsat satellite data in public domain facilitating such monitoring studies and (ii) availability and utility of SWIR band information in wetland classification exercise. The study concludes that policy-driven measures have both long and short term impacts on land use and its natural wetland ecosystems; and the characterizing the later serves as indictor of the former and perhaps vice versa.</abstract><cop>India</cop><pub>Springer-Verlag</pub><doi>10.1007/s12524-011-0139-6</doi><tpages>11</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0255-660X
ispartof Journal of the Indian Society of Remote Sensing, 2012-06, Vol.40 (2), p.287-297
issn 0255-660X
0974-3006
language eng
recordid cdi_proquest_miscellaneous_1819142093
source SpringerNature Journals
subjects biomass
climatic factors
Earth and Environmental Science
Earth Sciences
ecosystems
land use change
Landsat
Marine
monitoring
normalized difference vegetation index
remote sensing
Remote Sensing/Photogrammetry
Research Article
runoff
socioeconomics
vegetation
wetland buffers
wetlands
title Wetland Monitoring, Serving as an Index of Land Use Change-A Study in Samaspur Wetlands, Uttar Pradesh, India
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T19%3A54%3A12IST&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=Wetland%20Monitoring,%20Serving%20as%20an%20Index%20of%20Land%20Use%20Change-A%20Study%20in%20Samaspur%20Wetlands,%20Uttar%20Pradesh,%20India&rft.jtitle=Journal%20of%20the%20Indian%20Society%20of%20Remote%20Sensing&rft.au=Behera,%20M.%20D&rft.date=2012-06-01&rft.volume=40&rft.issue=2&rft.spage=287&rft.epage=297&rft.pages=287-297&rft.issn=0255-660X&rft.eissn=0974-3006&rft_id=info:doi/10.1007/s12524-011-0139-6&rft_dat=%3Cproquest_cross%3E1819142093%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1819142093&rft_id=info:pmid/&rfr_iscdi=true