Geograhic Information System (GIS), Remote Sensing (RS), Statistical Analysis,
Assessing Socio-Demographic Vulnerability of Dhaka City Corporation.
A journal paper will be available soon.
Sundarban Reserve Forest Resource Collection Process: A Study on Golpata, Fish-shrimp and Mud-crab
A journal Paper will be available soon.
Seasonality and Food Insecurity: A Study on Sundarban Impact Zone of Bangladesh
Bangladesh is a developing country and food policy is important for individuals or those who run various safety net programme. Food Insecurity could be seasonal for those who are very much dependent on natural resources like Sundarban Impact Zones. The season when the local people suffer from food insecurity and found that the months like Srabon (July-August), Vadra (August-September), Ashwin (September-October) and Kartik (October-November) are the most food insecure months of a year. During these four months about 30% to 40% people suffers serious food insecurity problems. The average income group of that area is 2000 to 10000 Tk and that is 80% of total income group. Also there are various social safetynet programs and people are dependent on them at their food insecure period. By identifying the food insecure period we can develop more effective food security plan to survive from their struggle.
Roni, Rezaul & Iqbal, Mehedi, “Seasonality and Food Insecurity: A Study on Sundarban Impact Zone of Bangladesh”, Environmental Science Journal, Jahangirnagar University, 2013.
Temperature is one of the most important climatic parameters and there are many methods to estimate the surface temperature distribution. The aim of this study is to analyze the surface temperature and develop a relationship between surface temperature, land cover and NDVI using satellite image. In this research band no 6 from Landsat TM satellite image was used to estimate surface temperature and NDVI. Remote sensing is an effective tool for classification of landcover and NDVI. Also regression analysis is an effective statistical tool by which the relationship between land cover, surface temperature and NDVI can be identify. In this paper statistical analysis, Geographic Information system and Remote sensing – all are used to identify the relationship between three of them. And in result, it is found that the temperature is comparatively low in vegetation area and in non vegetation area temperature is high. The correlation between both of them is found 35% and also regression value is found 0.17. The paper will regard as one of most effective methodologies to generate surface temperature with consideration of various geographical phenomena and also a relationship between them.
Keywords: Remote Sensing, Satellite Image, Surface Temperature, NDVI, GIS.
Abstract: Geographic Information System (GIS) is a decision making systematic tool which helps to create database for planning purpose. To create baseline data with GIS, a step by step methodology is needed. The database for master plan requires an effective integrated methodology. In Bangladesh we do not have that such GIS methodology for master plan. This work presents a methodology for the integration of heterogeneous and distributed GIS database creation process. It will guide to integrate various types of data layers like physical features, landuse features and other data field which are needed for master plan. In this study how GIS data structure could be used and designed are also described. Various development organizations of Bangladesh now working with individual methodology for the creation of GIS database for master plan purpose. This paper will help for a common use of GIS database creation.
The Jahangirnagar Review, Part II: Social Sciences, Vol. XXXIV, p: 145-155, 2010 Printed in June 2014, ISSN 1682-422 ©Jahangirnagar University
Jahan, Raunaq; Roni, Rezaul & Dara Shamsuddin (2015), Variability of Temperature at 12 Selected Stations in Bangladesh Between 1948 - 1979 and 1980 to 2011, Climate Variability: Issues and Perspectives for Bangladesh, PP:53-69; Shahitya Prakash, Dhaka, Bangladesh, ISBN: 984-70124-0218-4.
Dara Shamsuddin; Ahmed Rafique & Roni, Rezaul (2015), Introduction to Some Basic Concepts of Weather and Climate, Climate Variability: Issues and Perspectives for Bangladesh, PP:03-20; Shahitya Prakash, Dhaka, Bangladesh, ISBN: 984-70124-0218-4.
Small Area Atlas of Bangladesh for Eight Districts (Lalmonirhat, Dinajpur, Panchagarh, Thakurgaon, Nilphamari, Rangpur, Kurigram and Gaibandha) were published by Bangladesh Bureau of Statistics and funded by UNFPA where I worked as National Consultant.