Remote sensing and gis applications in the identification of aquaculture hotspots at village level

Interpretation of IRS LISS II and LISS III imagery has revealed the various landforms as well as land use/land cover features in a part of the Godavari delta coastal belt. A comparative analysis of geomorphological vs. land use/land cover maps suggested that the landforms exert a certain degree of c...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of the Indian Society of Remote Sensing 2003, Vol.31 (2), p.71-80
Hauptverfasser: Rao, K. Nageswara, Krishna, G. Murali, Naik, D. Ramprasad, Malini, B. Hema
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 80
container_issue 2
container_start_page 71
container_title Journal of the Indian Society of Remote Sensing
container_volume 31
creator Rao, K. Nageswara
Krishna, G. Murali
Naik, D. Ramprasad
Malini, B. Hema
description Interpretation of IRS LISS II and LISS III imagery has revealed the various landforms as well as land use/land cover features in a part of the Godavari delta coastal belt. A comparative analysis of geomorphological vs. land use/land cover maps suggested that the landforms exert a certain degree of control over human land use activities even in this monotonously plain area. Further, an analysis of the sequential imagery pertaining to 1992 and 2001 aimed at detecting the land use/land cover change has indicated that the aquaculture has phenomenally increased by 9,293.5 ha during the 9-year period. At the same time, the cropland which occupied about 29,104 ha in 1992 has been reduced to 19,153.9 ha by 2001 mainly due to the encroachment of aquaculture. Village level data on temporal variation in land use/land cover extracted through GIS analysis revealed that in 14 out of the total 39 villages in the area, the conversion of cropland into aquaculture ponds was more than 30% with the highest conversion rate of 89.8% in Gondi village. These fourteen villages, which are designated as ‘aquaculture hotspots’ are grouped into 4 priority classes based on the intensity of conversion.
doi_str_mv 10.1007/BF03030774
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2787245521</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2787245521</sourcerecordid><originalsourceid>FETCH-LOGICAL-c133t-72297a71e8c17817238bb152715ea5a3e88da50d83ee8925e13e2b2cb9f598b53</originalsourceid><addsrcrecordid>eNpFkF9LwzAUxYMoOKcvfoKAb0I1f5omfdThVBgIouBbSdvbLiNLuiQd-O1X2UAuh3v4cbgXDkK3lDxQQuTj85LwaaTMz9CMlDLPOCHF-eSZEFlRkJ9LdBXjZoK5oGyG6k_Y-gQ4govG9Vi7FvcmYj0M1jQ6Ge8iNg6nNWDTgkumO2HsO6x3o25Gm8YAeO1THCZhnfDeWKt7wBb2YK_RRadthJvTnqPv5cvX4i1bfby-L55WWUM5T5lkrJRaUlANlYpKxlVdU8EkFaCF5qBUqwVpFQdQJRNAObCaNXXZiVLVgs_R3fHuEPxuhJiqjR-Dm15WTCrJciEYnVL3x1QTfIwBumoIZqvDb0VJ9ddh9d8hPwDwDWP8</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2787245521</pqid></control><display><type>article</type><title>Remote sensing and gis applications in the identification of aquaculture hotspots at village level</title><source>SpringerNature Journals</source><creator>Rao, K. Nageswara ; Krishna, G. Murali ; Naik, D. Ramprasad ; Malini, B. Hema</creator><creatorcontrib>Rao, K. Nageswara ; Krishna, G. Murali ; Naik, D. Ramprasad ; Malini, B. Hema</creatorcontrib><description>Interpretation of IRS LISS II and LISS III imagery has revealed the various landforms as well as land use/land cover features in a part of the Godavari delta coastal belt. A comparative analysis of geomorphological vs. land use/land cover maps suggested that the landforms exert a certain degree of control over human land use activities even in this monotonously plain area. Further, an analysis of the sequential imagery pertaining to 1992 and 2001 aimed at detecting the land use/land cover change has indicated that the aquaculture has phenomenally increased by 9,293.5 ha during the 9-year period. At the same time, the cropland which occupied about 29,104 ha in 1992 has been reduced to 19,153.9 ha by 2001 mainly due to the encroachment of aquaculture. Village level data on temporal variation in land use/land cover extracted through GIS analysis revealed that in 14 out of the total 39 villages in the area, the conversion of cropland into aquaculture ponds was more than 30% with the highest conversion rate of 89.8% in Gondi village. These fourteen villages, which are designated as ‘aquaculture hotspots’ are grouped into 4 priority classes based on the intensity of conversion.</description><identifier>ISSN: 0255-660X</identifier><identifier>EISSN: 0974-3006</identifier><identifier>DOI: 10.1007/BF03030774</identifier><language>eng</language><publisher>Dordrecht: Springer Nature B.V</publisher><subject>Agricultural land ; Aquaculture ; Conversion ; Encroachment ; Geomorphology ; Imagery ; Land cover ; Land use ; Landforms ; Remote sensing ; Towns ; Villages</subject><ispartof>Journal of the Indian Society of Remote Sensing, 2003, Vol.31 (2), p.71-80</ispartof><rights>Springer 2003.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c133t-72297a71e8c17817238bb152715ea5a3e88da50d83ee8925e13e2b2cb9f598b53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,4025,27927,27928,27929</link.rule.ids></links><search><creatorcontrib>Rao, K. Nageswara</creatorcontrib><creatorcontrib>Krishna, G. Murali</creatorcontrib><creatorcontrib>Naik, D. Ramprasad</creatorcontrib><creatorcontrib>Malini, B. Hema</creatorcontrib><title>Remote sensing and gis applications in the identification of aquaculture hotspots at village level</title><title>Journal of the Indian Society of Remote Sensing</title><description>Interpretation of IRS LISS II and LISS III imagery has revealed the various landforms as well as land use/land cover features in a part of the Godavari delta coastal belt. A comparative analysis of geomorphological vs. land use/land cover maps suggested that the landforms exert a certain degree of control over human land use activities even in this monotonously plain area. Further, an analysis of the sequential imagery pertaining to 1992 and 2001 aimed at detecting the land use/land cover change has indicated that the aquaculture has phenomenally increased by 9,293.5 ha during the 9-year period. At the same time, the cropland which occupied about 29,104 ha in 1992 has been reduced to 19,153.9 ha by 2001 mainly due to the encroachment of aquaculture. Village level data on temporal variation in land use/land cover extracted through GIS analysis revealed that in 14 out of the total 39 villages in the area, the conversion of cropland into aquaculture ponds was more than 30% with the highest conversion rate of 89.8% in Gondi village. These fourteen villages, which are designated as ‘aquaculture hotspots’ are grouped into 4 priority classes based on the intensity of conversion.</description><subject>Agricultural land</subject><subject>Aquaculture</subject><subject>Conversion</subject><subject>Encroachment</subject><subject>Geomorphology</subject><subject>Imagery</subject><subject>Land cover</subject><subject>Land use</subject><subject>Landforms</subject><subject>Remote sensing</subject><subject>Towns</subject><subject>Villages</subject><issn>0255-660X</issn><issn>0974-3006</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><recordid>eNpFkF9LwzAUxYMoOKcvfoKAb0I1f5omfdThVBgIouBbSdvbLiNLuiQd-O1X2UAuh3v4cbgXDkK3lDxQQuTj85LwaaTMz9CMlDLPOCHF-eSZEFlRkJ9LdBXjZoK5oGyG6k_Y-gQ4govG9Vi7FvcmYj0M1jQ6Ge8iNg6nNWDTgkumO2HsO6x3o25Gm8YAeO1THCZhnfDeWKt7wBb2YK_RRadthJvTnqPv5cvX4i1bfby-L55WWUM5T5lkrJRaUlANlYpKxlVdU8EkFaCF5qBUqwVpFQdQJRNAObCaNXXZiVLVgs_R3fHuEPxuhJiqjR-Dm15WTCrJciEYnVL3x1QTfIwBumoIZqvDb0VJ9ddh9d8hPwDwDWP8</recordid><startdate>2003</startdate><enddate>2003</enddate><creator>Rao, K. Nageswara</creator><creator>Krishna, G. Murali</creator><creator>Naik, D. Ramprasad</creator><creator>Malini, B. Hema</creator><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>2003</creationdate><title>Remote sensing and gis applications in the identification of aquaculture hotspots at village level</title><author>Rao, K. Nageswara ; Krishna, G. Murali ; Naik, D. Ramprasad ; Malini, B. Hema</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c133t-72297a71e8c17817238bb152715ea5a3e88da50d83ee8925e13e2b2cb9f598b53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Agricultural land</topic><topic>Aquaculture</topic><topic>Conversion</topic><topic>Encroachment</topic><topic>Geomorphology</topic><topic>Imagery</topic><topic>Land cover</topic><topic>Land use</topic><topic>Landforms</topic><topic>Remote sensing</topic><topic>Towns</topic><topic>Villages</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rao, K. Nageswara</creatorcontrib><creatorcontrib>Krishna, G. Murali</creatorcontrib><creatorcontrib>Naik, D. Ramprasad</creatorcontrib><creatorcontrib>Malini, B. Hema</creatorcontrib><collection>CrossRef</collection><jtitle>Journal of the Indian Society of Remote Sensing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rao, K. Nageswara</au><au>Krishna, G. Murali</au><au>Naik, D. Ramprasad</au><au>Malini, B. Hema</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Remote sensing and gis applications in the identification of aquaculture hotspots at village level</atitle><jtitle>Journal of the Indian Society of Remote Sensing</jtitle><date>2003</date><risdate>2003</risdate><volume>31</volume><issue>2</issue><spage>71</spage><epage>80</epage><pages>71-80</pages><issn>0255-660X</issn><eissn>0974-3006</eissn><abstract>Interpretation of IRS LISS II and LISS III imagery has revealed the various landforms as well as land use/land cover features in a part of the Godavari delta coastal belt. A comparative analysis of geomorphological vs. land use/land cover maps suggested that the landforms exert a certain degree of control over human land use activities even in this monotonously plain area. Further, an analysis of the sequential imagery pertaining to 1992 and 2001 aimed at detecting the land use/land cover change has indicated that the aquaculture has phenomenally increased by 9,293.5 ha during the 9-year period. At the same time, the cropland which occupied about 29,104 ha in 1992 has been reduced to 19,153.9 ha by 2001 mainly due to the encroachment of aquaculture. Village level data on temporal variation in land use/land cover extracted through GIS analysis revealed that in 14 out of the total 39 villages in the area, the conversion of cropland into aquaculture ponds was more than 30% with the highest conversion rate of 89.8% in Gondi village. These fourteen villages, which are designated as ‘aquaculture hotspots’ are grouped into 4 priority classes based on the intensity of conversion.</abstract><cop>Dordrecht</cop><pub>Springer Nature B.V</pub><doi>10.1007/BF03030774</doi><tpages>10</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0255-660X
ispartof Journal of the Indian Society of Remote Sensing, 2003, Vol.31 (2), p.71-80
issn 0255-660X
0974-3006
language eng
recordid cdi_proquest_journals_2787245521
source SpringerNature Journals
subjects Agricultural land
Aquaculture
Conversion
Encroachment
Geomorphology
Imagery
Land cover
Land use
Landforms
Remote sensing
Towns
Villages
title Remote sensing and gis applications in the identification of aquaculture hotspots at village level
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-17T06%3A41%3A05IST&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=Remote%20sensing%20and%20gis%20applications%20in%20the%20identification%20of%20aquaculture%20hotspots%20at%20village%20level&rft.jtitle=Journal%20of%20the%20Indian%20Society%20of%20Remote%20Sensing&rft.au=Rao,%20K.%20Nageswara&rft.date=2003&rft.volume=31&rft.issue=2&rft.spage=71&rft.epage=80&rft.pages=71-80&rft.issn=0255-660X&rft.eissn=0974-3006&rft_id=info:doi/10.1007/BF03030774&rft_dat=%3Cproquest_cross%3E2787245521%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=2787245521&rft_id=info:pmid/&rfr_iscdi=true