@article{Nabi_Hossain_Rashid_2018, title={APPLICATION OF GOOGLE EARTH IMAGE INFORMATION FOR IDENTIFY PHYSICAL AND CULTURAL FEATURES OF NORTHEASTERN BOUNDARY OF BANGLADESH ALIGNED WITH MEGHALAYA, EASTERN ASSAM AND TRIPURA }, volume={5}, url={https://www.granthaalayahpublication.org/ijetmr-ojms/ijetmr/article/view/12_IJETMR18_A08_492}, DOI={10.29121/ijetmr.v5.i7.2018.264}, abstractNote={<p><strong><em>A frontier has a significant role of national boundary and security which is discussable matter for any country. Bangladesh and India share international border which is the fifth-longest land border in the world. In the Indian part, Assam, Tripura, Mizoram, Meghalaya, and West Bengal on the other hand Dhaka, Khulna, Rajshahi, Rangpur, Sylhet and Chattagram (Chittagong) are the Divisions of Bangladeshi. The purpose of this research is to identify the physical and cultural features along the border area. Google Earth images are used to identify and quantify different features of the study area with help of Geographical Information System (GIS). GIS techniques are also used to calculate the area of different features. Using Google Earth and GIS technique, research Physical features are tropical rain forest, river, pond, hilly areas, char land, waterfall etc., cultural features are settlement, road, homestead vegetation, agricultural land, fallow land, hat bazar, check post, land port, tourist spots etc. in the north eastern boundary which are located in the border area of India and Bangladesh along the Meghalaya frontier play significant role on local and national economy. For that this research play a vital role for developing physical and cultural environmental baseline information doing sustainable development activities in national development by economic development through tourism income, promoting concerned central place for business and creation of a wide range of jobs.</em> </strong></p>}, number={7}, journal={International Journal of Engineering Technologies and Management Research}, author={Nabi, Rejaun and Hossain, Ismail and Rashid, Shahedur}, year={2018}, month={Jul.}, pages={112–120} }