Assessment of Chalan beel Ecosystem Diversity through Remote Sensing and Geographical Information Systems
Chalan beel, the largest natural depression in Bangladesh is under threat due to population pressure, over exploitation, change of water courses, pollution and siltation. Therefore, a study was conducted to assess the habitat and biodiversity status in dry and wet seasons through MODIS AQUA 250 m im...
Gespeichert in:
Veröffentlicht in: | International journal of innovation and applied studies 2014-07, Vol.7 (1), p.353-353 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 353 |
---|---|
container_issue | 1 |
container_start_page | 353 |
container_title | International journal of innovation and applied studies |
container_volume | 7 |
creator | Sayeed, Md Abu Hashem, Shaharior Salam, M A Hossain, Mostafa Ali Reza Wahab, M A |
description | Chalan beel, the largest natural depression in Bangladesh is under threat due to population pressure, over exploitation, change of water courses, pollution and siltation. Therefore, a study was conducted to assess the habitat and biodiversity status in dry and wet seasons through MODIS AQUA 250 m images and Geographical Information Systems supported by field data from July 2010 to June 2012. The MODIS data of 2002 and 2008 were collected and analyzed, to perceive the water availability, extend of water area and variety of fishes found round the year. The False Colour Composite images of blue, near infra-red and mid infra-red bands and Normalized Difference Vegetation Index of 2002 and 2008 were prepared to perform the land use and land cover changes. The data interpretation showed the trend of water receding tendency from wet to dry season in 2002 and 2008 images respectively. The occurrence of moderate and high vegetation was comparatively higher in 2002 images than in 2008. |
format | Article |
fullrecord | <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_miscellaneous_1671565000</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1671565000</sourcerecordid><originalsourceid>FETCH-LOGICAL-p940-303d8e2fbe454feb6534db350b2b241a8c222752d96210fe4f6139ce97d915243</originalsourceid><addsrcrecordid>eNqNkE1Lw0AYhIMoWGr_w4IXL4H9bvZYaq2FgmB7L5vk3WZLslvzboT-e4N6KJ48zRweZpi5ySac8iI3gsvbK3-fzRBPlFImJCu0nmR-gQiIHYREoiPLxrY2kBKgJasq4gUTdOTZf0KPPl1Iavo4HBvyDl1MQHYQ0IcjsaEma4jH3p4bX9mWbIKLfWeTj4HsvkPwIbtztkWY_eo027-s9svXfPu23iwX2_xsJM0FFXUB3JUglXRQaiVkXQpFS15yyWxRcc7nitdGc0YdSKeZMBWYeW2Y4lJMs6ef2HMfPwbAdOg8VtCOsyAOeGB6zpRW4wf_QBkbWxRnI_r4Bz3FoQ_jjgNTSlNlFOXiC4ptcNE</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1556059502</pqid></control><display><type>article</type><title>Assessment of Chalan beel Ecosystem Diversity through Remote Sensing and Geographical Information Systems</title><source>EZB Electronic Journals Library</source><creator>Sayeed, Md Abu ; Hashem, Shaharior ; Salam, M A ; Hossain, Mostafa Ali Reza ; Wahab, M A</creator><creatorcontrib>Sayeed, Md Abu ; Hashem, Shaharior ; Salam, M A ; Hossain, Mostafa Ali Reza ; Wahab, M A</creatorcontrib><description>Chalan beel, the largest natural depression in Bangladesh is under threat due to population pressure, over exploitation, change of water courses, pollution and siltation. Therefore, a study was conducted to assess the habitat and biodiversity status in dry and wet seasons through MODIS AQUA 250 m images and Geographical Information Systems supported by field data from July 2010 to June 2012. The MODIS data of 2002 and 2008 were collected and analyzed, to perceive the water availability, extend of water area and variety of fishes found round the year. The False Colour Composite images of blue, near infra-red and mid infra-red bands and Normalized Difference Vegetation Index of 2002 and 2008 were prepared to perform the land use and land cover changes. The data interpretation showed the trend of water receding tendency from wet to dry season in 2002 and 2008 images respectively. The occurrence of moderate and high vegetation was comparatively higher in 2002 images than in 2008.</description><identifier>ISSN: 2028-9324</identifier><identifier>EISSN: 2028-9324</identifier><language>eng</language><publisher>Rabat: International Journal of Innovation and Applied Studies</publisher><subject>Assessments ; Geographic information systems ; Geographical information systems ; MODIS ; Satellite navigation systems ; Vegetation ; Water pollution</subject><ispartof>International journal of innovation and applied studies, 2014-07, Vol.7 (1), p.353-353</ispartof><rights>Copyright International Journal of Innovation and Applied Studies Jul 2014</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784</link.rule.ids></links><search><creatorcontrib>Sayeed, Md Abu</creatorcontrib><creatorcontrib>Hashem, Shaharior</creatorcontrib><creatorcontrib>Salam, M A</creatorcontrib><creatorcontrib>Hossain, Mostafa Ali Reza</creatorcontrib><creatorcontrib>Wahab, M A</creatorcontrib><title>Assessment of Chalan beel Ecosystem Diversity through Remote Sensing and Geographical Information Systems</title><title>International journal of innovation and applied studies</title><description>Chalan beel, the largest natural depression in Bangladesh is under threat due to population pressure, over exploitation, change of water courses, pollution and siltation. Therefore, a study was conducted to assess the habitat and biodiversity status in dry and wet seasons through MODIS AQUA 250 m images and Geographical Information Systems supported by field data from July 2010 to June 2012. The MODIS data of 2002 and 2008 were collected and analyzed, to perceive the water availability, extend of water area and variety of fishes found round the year. The False Colour Composite images of blue, near infra-red and mid infra-red bands and Normalized Difference Vegetation Index of 2002 and 2008 were prepared to perform the land use and land cover changes. The data interpretation showed the trend of water receding tendency from wet to dry season in 2002 and 2008 images respectively. The occurrence of moderate and high vegetation was comparatively higher in 2002 images than in 2008.</description><subject>Assessments</subject><subject>Geographic information systems</subject><subject>Geographical information systems</subject><subject>MODIS</subject><subject>Satellite navigation systems</subject><subject>Vegetation</subject><subject>Water pollution</subject><issn>2028-9324</issn><issn>2028-9324</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqNkE1Lw0AYhIMoWGr_w4IXL4H9bvZYaq2FgmB7L5vk3WZLslvzboT-e4N6KJ48zRweZpi5ySac8iI3gsvbK3-fzRBPlFImJCu0nmR-gQiIHYREoiPLxrY2kBKgJasq4gUTdOTZf0KPPl1Iavo4HBvyDl1MQHYQ0IcjsaEma4jH3p4bX9mWbIKLfWeTj4HsvkPwIbtztkWY_eo027-s9svXfPu23iwX2_xsJM0FFXUB3JUglXRQaiVkXQpFS15yyWxRcc7nitdGc0YdSKeZMBWYeW2Y4lJMs6ef2HMfPwbAdOg8VtCOsyAOeGB6zpRW4wf_QBkbWxRnI_r4Bz3FoQ_jjgNTSlNlFOXiC4ptcNE</recordid><startdate>20140701</startdate><enddate>20140701</enddate><creator>Sayeed, Md Abu</creator><creator>Hashem, Shaharior</creator><creator>Salam, M A</creator><creator>Hossain, Mostafa Ali Reza</creator><creator>Wahab, M A</creator><general>International Journal of Innovation and Applied Studies</general><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>F28</scope><scope>FR3</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>7TV</scope><scope>C1K</scope><scope>7SC</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20140701</creationdate><title>Assessment of Chalan beel Ecosystem Diversity through Remote Sensing and Geographical Information Systems</title><author>Sayeed, Md Abu ; Hashem, Shaharior ; Salam, M A ; Hossain, Mostafa Ali Reza ; Wahab, M A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p940-303d8e2fbe454feb6534db350b2b241a8c222752d96210fe4f6139ce97d915243</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Assessments</topic><topic>Geographic information systems</topic><topic>Geographical information systems</topic><topic>MODIS</topic><topic>Satellite navigation systems</topic><topic>Vegetation</topic><topic>Water pollution</topic><toplevel>online_resources</toplevel><creatorcontrib>Sayeed, Md Abu</creatorcontrib><creatorcontrib>Hashem, Shaharior</creatorcontrib><creatorcontrib>Salam, M A</creatorcontrib><creatorcontrib>Hossain, Mostafa Ali Reza</creatorcontrib><creatorcontrib>Wahab, M A</creatorcontrib><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>Middle East & Africa Database</collection><collection>ProQuest Central Korea</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering 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>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Pollution Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Computer and Information Systems Abstracts</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>International journal of innovation and applied studies</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sayeed, Md Abu</au><au>Hashem, Shaharior</au><au>Salam, M A</au><au>Hossain, Mostafa Ali Reza</au><au>Wahab, M A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of Chalan beel Ecosystem Diversity through Remote Sensing and Geographical Information Systems</atitle><jtitle>International journal of innovation and applied studies</jtitle><date>2014-07-01</date><risdate>2014</risdate><volume>7</volume><issue>1</issue><spage>353</spage><epage>353</epage><pages>353-353</pages><issn>2028-9324</issn><eissn>2028-9324</eissn><abstract>Chalan beel, the largest natural depression in Bangladesh is under threat due to population pressure, over exploitation, change of water courses, pollution and siltation. Therefore, a study was conducted to assess the habitat and biodiversity status in dry and wet seasons through MODIS AQUA 250 m images and Geographical Information Systems supported by field data from July 2010 to June 2012. The MODIS data of 2002 and 2008 were collected and analyzed, to perceive the water availability, extend of water area and variety of fishes found round the year. The False Colour Composite images of blue, near infra-red and mid infra-red bands and Normalized Difference Vegetation Index of 2002 and 2008 were prepared to perform the land use and land cover changes. The data interpretation showed the trend of water receding tendency from wet to dry season in 2002 and 2008 images respectively. The occurrence of moderate and high vegetation was comparatively higher in 2002 images than in 2008.</abstract><cop>Rabat</cop><pub>International Journal of Innovation and Applied Studies</pub><tpages>1</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2028-9324 |
ispartof | International journal of innovation and applied studies, 2014-07, Vol.7 (1), p.353-353 |
issn | 2028-9324 2028-9324 |
language | eng |
recordid | cdi_proquest_miscellaneous_1671565000 |
source | EZB Electronic Journals Library |
subjects | Assessments Geographic information systems Geographical information systems MODIS Satellite navigation systems Vegetation Water pollution |
title | Assessment of Chalan beel Ecosystem Diversity through Remote Sensing and Geographical Information Systems |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-10T14%3A12%3A24IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Assessment%20of%20Chalan%20beel%20Ecosystem%20Diversity%20through%20Remote%20Sensing%20and%20Geographical%20Information%20Systems&rft.jtitle=International%20journal%20of%20innovation%20and%20applied%20studies&rft.au=Sayeed,%20Md%20Abu&rft.date=2014-07-01&rft.volume=7&rft.issue=1&rft.spage=353&rft.epage=353&rft.pages=353-353&rft.issn=2028-9324&rft.eissn=2028-9324&rft_id=info:doi/&rft_dat=%3Cproquest%3E1671565000%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1556059502&rft_id=info:pmid/&rfr_iscdi=true |