@inproceedings{ed95939d5e8c4e03a431139f3cf4541e,
title = "Impact of climate change on soil salinity: A remote sensing based investigation in coastal Bangladesh",
abstract = "Bangladesh is one of the most vulnerable countries to sea level rise due to the climate change. Soil salinity is one of the potential threat to the coastal ecosystem and agriculture which might hinder the country's future food security. Conventional field-based soil salinity monitoring over vast region may not be cost and time efficient. Satellite remote sensing is offering an efficient way to monitor soil salinity via different indices. This study monitors soil salinity in five years interval from 1990 to 2015 using a regression equation which is developed and tested in the same geographical area to calculate soil salinity from Landsat images. The result shows that soil salinity increases significantly in most of the part of the study area in 25 years period. The percentage of very high saline soil is increased from less than 1% in 1990 to 33% in 2015 which is very alarming for the agriculture growth in this area.",
keywords = "Climate Change, Food Security, Remote Sensing, Soil Salinity",
author = "Rahman, {Md Shahinoor} and Liping Di and Yu, {Eugene G.} and Junmei Tang and Li Lin and Chen Zhang and Zhiqi Yu and Juozas Gaigalas",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 7th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2018 ; Conference date: 06-08-2018 Through 09-08-2018",
year = "2018",
month = sep,
day = "27",
doi = "10.1109/Agro-Geoinformatics.2018.8476036",
language = "English",
series = "2018 7th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2018 7th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2018",
}