Development of Greenness Analysis Tool Using Remote Sensing Satellite Images

Remote sensing satellite images have not been thoroughly studied in greenness analysis of Bangladesh. The purpose of this study is to create a systemic database for greenness analysis of Dhaka Division of Bangladesh. Here, we developed a web-based greenness analysis tool using Remote sensing of MODIS (Moderate-resolution Imaging Spectroradiometer) satellite images. MODIS NDVI (Normalized Difference Vegetation Index) is the most popularly used vegetation index in Remote sensing to calculate the amount of greenness. Fifteen years MODIS NDVI images from 2001-2015 are used to extract greenness and accumulated the data of 13 Districts of Dhaka Division to create the database. Using this database and performing algorithms and methodology, this study has found and extracted each green pixels from the original images which is used for analysis. A web-based greenness analysis tool is developed here to display this study of greenness analysis of entire Dhaka. This tool allows mainly four options like Time Series Analysis, Monthly Single District Greenness Comparison, Yearly District Based Comparison and Comparison of two District of Dhaka Division at Chosen Date. These options show how greenness changes yearly among the districts and if they are related to each other and represent the results in graph, bar chart plot and map view. The study has shown us that Dhaka division, and by a larger extent Bangladesh, is an agricultural country and most of the green is based on agricultural crops as it shows increase of green during the period of cultivation for crops.