Agricultural Research Management Information System

Home
Research Summary
Search
About Us
- ARMIS
- Brochure
Contact Us
Report
User Request
Data Input
Help
- Operation Manual
  - PDF
  - Video
- Program Area & Commodity
We have reached 37600 number of research entries at this moment.

- Logout

Research Detail

Home
Research
Detail

Suitable Site Selection of Shrimp Farming in the Coastal Areas of Bangladesh Using Remote Sensing Techniques (4 S Model)

Q. Quader
Bangladesh Space Research and Remote Sensing Organization (SPARRSO) Agargaon, Dhaka-1207, Bangladesh.

Z. Islam
Bangladesh Space Research and Remote Sensing Organization (SPARRSO) Agargaon, Dhaka-1207, Bangladesh.

H. Rahman
Bangladesh Space Research and Remote Sensing Organization (SPARRSO) Agargaon, Dhaka-1207, Bangladesh.

M. Rahman
Bangladesh Space Research and Remote Sensing Organization (SPARRSO) Agargaon, Dhaka-1207, Bangladesh.

M. H. Sarkar
Bangladesh Space Research and Remote Sensing Organization (SPARRSO) Agargaon, Dhaka-1207, Bangladesh.

A. Salam Khan
Bangladesh Space Research and Remote Sensing Organization (SPARRSO) Agargaon, Dhaka-1207, Bangladesh.

Abstract/ Executive Summary:

A study has been made on the Coastal Zone Development and Fishery Environment Analysis using Remote Sensing Techniques’ in Bangladesh under a TCDC programme. It is funded by UN/ESCAP, SPARRSO and Space Application Center (SAC) Ahmedabad of Indian Space Research Organization (ISRO) has completed the study successfully. The aim of this project was to develop space technology based suitable methodology using remote sensing and GIS for coastal zone development and fisheries environment analysis in Bangladesh. Two sites in Bangladesh were selected for the pilot study, viz. Cox’s Bazaar and Khulna-Satkhira. In the study various types of data have been used. It includes different satellite data, thematic maps, field-measured data and other relevant published information etc. Detailed and updated land-use maps have been generated for the two study sites. The whole work has been performed in six major parts: I) Construction of GIS based fisheries environmental database (GISFED). II) Selection, adaptation and test of GIS based Suitable Shrimp Farming Site Selection Model (shortly 4s model) III) Practical Implementation of 4s model IV) Application of shrimp suitability model and analysis of model generated output. V) Socioeconomic characterization of the study sites and analysis of the trend of shrimp culture development. VI) Analysis of environmental impacts of shrimp culture expansion and risk due to climatic events. VII) The result from the application of the model is comprehensive for some specific recommendations regarding the present state of the shrimp farming, as well as its future extension. Using this model it is found that, Khulna- Satkhira area are more suitable than Cox’s Bazaar area for shrimp farming. Fishery resources have been successfully analyzed in the two study areas using GIS modeling of suitable site selection for shrimp farming. Tropical countries can use this model for allocating suitable site for shrimp farming by their Government for allocating shrimp farms in the coastal areas. This project report has been highly appreciated by ESCAP and ISRO India.

Keywords: Suitable Site, Shrimp farm model, Coastal Zone

Location: Cox’s Bazaar and Khulna-Satkhira

Start Date:

End Date:

Program Area: Resource Development and Management

Non-commodity: Shrimp

Objectives:

To develop a model for selecting suitable site for shrimp farming in the Coastal areas of Bangladesh Using Remote Sensing Techniques.

Methodology:

In this section, methodologies used for the general operation during the present study have been described. However, detail descriptions for more specific operations have been provided in the respective chapters. Digital data of LISS III and PAN for Cox's' Bazar were downloaded using PC based ERDAS software available in SPARRSO. All the images were geometrically corrected and were projected to LCC system, IRS LISS, III and PAN images were re-sampled to 6-m spatial resolution in order to merge them with reasonable accuracy. In the present work, both supervised and unsupervised methods of classification have been employed. The unsupervised method of classification is based on ISODATA algorithm available in the ERDAS Imagine software. While, the supervised classification method based on maximum likelihood algorithm has been used. Remote sensing application in various aspects of aquaculture has been demonstrated by Loubersac (1985) who used simulated SPOT data to demonstrate the capabilities of a high-resolution (10-20 m) data for aquaculture siting. A Geographic Information System (GIS) approach has recently been demonstrated through integration of ground and satellite remote sensing data to identify area suitable for aquaculture development etc. So, coastal wetland and landform mapping on 1:50,000 scale using satellite data for the two study areas of the coastal zone (i) Cox’s Bazar Area (ii) Sathkhira-Khulna has been prepared as per the package development of the project. These maps provide information at the reconnaissance level and used as reference map for field survey/verification and creating GIS layers on the monitor. Techniques used to obtain macro-structured land use classes in vector form: 1- Unsupervised classification of merged image as well as LISS and TM image. 2- Merging the classes to the desired number of classes. 3- Elimination of non-homogeneity and noise using 7´7 majority spatial filter. 4- Elimination of very small clusters. 5- Raster to vector transformation. 6- Combination of vector layers obtained from all the images. 7- On-screen editing of the vector data. 8- On-screen editing of the vector layer was needed to correct classification error, as well as to well shape the structures of the features. Micro-structured features were digitized on-screen from the images, as well as from the base maps. Extensive GPS based field works have been carried out over the two study sites in support of the satellite-derived information for their correction and validation. The infrastructure information is also been updated by such survey. In addition, the model-derived outputs are verified in some specific points over the study sites.

Source of Information: A Bulletin: Bangladesh Using Remote Sensing Techniques

Article Link (Online Journal): www.isprs.org/proceedings/XXXV/congress/comm7/papers/44.pdf

Funding Source:

Budget:

Total Budget (Tk.) :

Achievement/Findings:

The result from the application of the model is comprehensive for some specific recommendations regarding the present state of the shrimp farming, as well as its future extension. Using this model it is found that, Khulna- Satkhira area are more suitable than Cox’s Bazaar area for shrimp farming.

Knowledge Management: Booklet/Leaflet