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Forest Land Analysis using Normalized Difference Vegetation Index (NDVI): A Case Study of Bangladesh

by Mohammed Shafiul Alam Khan, Md. Ismail Rahman
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 45
Year of Publication: 2021
Authors: Mohammed Shafiul Alam Khan, Md. Ismail Rahman
10.5120/ijca2021921855

Mohammed Shafiul Alam Khan, Md. Ismail Rahman . Forest Land Analysis using Normalized Difference Vegetation Index (NDVI): A Case Study of Bangladesh. International Journal of Computer Applications. 183, 45 ( Dec 2021), 15-19. DOI=10.5120/ijca2021921855

@article{ 10.5120/ijca2021921855,
author = { Mohammed Shafiul Alam Khan, Md. Ismail Rahman },
title = { Forest Land Analysis using Normalized Difference Vegetation Index (NDVI): A Case Study of Bangladesh },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2021 },
volume = { 183 },
number = { 45 },
month = { Dec },
year = { 2021 },
issn = { 0975-8887 },
pages = { 15-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number45/32234-2021921855/ },
doi = { 10.5120/ijca2021921855 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:20:04.564635+05:30
%A Mohammed Shafiul Alam Khan
%A Md. Ismail Rahman
%T Forest Land Analysis using Normalized Difference Vegetation Index (NDVI): A Case Study of Bangladesh
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 45
%P 15-19
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

It is no longer a secret that Bangladesh is an innocent victim of climate change. Because of climate change, every year the inhabitants of Bangladesh are suffering a lot from the loss of life and property. Various researches, magazines and journals state that Bangladesh is one the most vulnerable nations to the impacts of climate change. Deforestation is the main reason for climate change and global warming. To address the issue, a detailed study of the country’s forestation changes and its impact to the prevention of climate change would be helpful. To do so, Landsat 8 dataset images, collected from USGS satellite image dataset, are analyzed, and a model is proposed to detect the changes of forestation between years. The proposed modelhelps to predict the forestation changes in near future and support to take necessary measures to reduce deforestation. Supervised classification and machine learning algorithm are used to implement the model.

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Index Terms

Computer Science
Information Sciences

Keywords

Supervised classification Google Earth Engine Bangladesh forest land change analysis NDVI CART satellite image dataset

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