|
Twitter
|
Facebook
|
Google+
|
VKontakte
|
LinkedIn
|
Viadeo
|
English
|
Français
|
Español
|
العربية
|
 
International Journal of Innovation and Applied Studies
ISSN: 2028-9324     CODEN: IJIABO     OCLC Number: 828807274     ZDB-ID: 2703985-7
 
 
Friday 29 March 2024

About IJIAS

News

Submission

Downloads

Archives

Custom Search

Contact

  • Contact us
  • Newsletter:

Connect with IJIAS

  Now IJIAS is indexed in EBSCO, ResearchGate, ProQuest, Chemical Abstracts Service, Index Copernicus, IET Inspec Direct, Ulrichs Web, Google Scholar, CAS Abstracts, J-Gate, UDL Library, CiteSeerX, WorldCat, Scirus, Research Bible and getCited, etc.  
 
 
 

Assessment of Chalan beel Ecosystem Diversity through Remote Sensing and Geographical Information Systems


Volume 7, Issue 1, July 2014, Pages 353–365

 Assessment of Chalan beel Ecosystem Diversity through Remote Sensing and Geographical Information Systems

Md. Abu Sayeed1, Shaharior Hashem2, M. A. Salam3, Mostafa Ali Reza Hossain4, and M. A. Wahab5

1 Department of Fisheries Technology and Quality Control, Sylhet Agricultural University, Sylhet-3100, Bangladesh
2 Department of Aquaculture, Bangladesh Agricultural University, Mymensingh-2202, Bangladesh
3 Department of Aquaculture, Bangladesh Agricultural University, Mymensingh-2202, Bangladesh
4 Department of Fisheries Biology and Genetics, Bangladesh Agricultural University, Mymensingh-2202, Bangladesh
5 Department of Fisheries Management, Bangladesh Agricultural University, Mymensingh-2202, Bangladesh

Original language: English

Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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. Moreover, very small water area was observed in March and April in both year images due to over use of surface and underground water for irrigation that is the threat to the natural resources in the region. Hence, steps need to be taken by the Government and stakeholders to stop fishing via dewatering and maintain the minimum water level in the Chalan beel for safe guard the aquatic biodiversity.

Author Keywords: MODIS AQUA image, biodiversity, natural depression, land use change, irrigation.


How to Cite this Article


Md. Abu Sayeed, Shaharior Hashem, M. A. Salam, Mostafa Ali Reza Hossain, and M. A. Wahab, “Assessment of Chalan beel Ecosystem Diversity through Remote Sensing and Geographical Information Systems,” International Journal of Innovation and Applied Studies, vol. 7, no. 1, pp. 353–365, July 2014.