Impact of climate change on soil salinity: A remote sensing based investigation in coastal Bangladesh

Md Shahinoor Rahman; Liping Di; Eugene G. Yu; Junmei Tang; Li Lin; Chen Zhang; Zhiqi Yu; Juozas Gaigalas

doi:10.1109/Agro-Geoinformatics.2018.8476036

Impact of climate change on soil salinity: A remote sensing based investigation in coastal Bangladesh

Md Shahinoor Rahman
, Liping Di
, Eugene G. Yu
, Junmei Tang
, Li Lin
, Chen Zhang
, Zhiqi Yu
, Juozas Gaigalas

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

34 Citations (Scopus)

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.

Original language	English
Title of host publication	2018 7th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538650387
DOIs	https://doi.org/10.1109/Agro-Geoinformatics.2018.8476036
Publication status	Published - Sept 27 2018
Externally published	Yes
Event	7th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2018 - Hangzhou, China Duration: Aug 6 2018 → Aug 9 2018

Publication series

Name	2018 7th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2018

Conference

Conference	7th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2018
Country/Territory	China
City	Hangzhou
Period	8/6/18 → 8/9/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 2 Zero Hunger
SDG 13 Climate Action

Keywords

Climate Change
Food Security
Remote Sensing
Soil Salinity

ASJC Scopus subject areas

Agronomy and Crop Science
Signal Processing
Computers in Earth Sciences
Earth-Surface Processes
Management, Monitoring, Policy and Law
Control and Optimization
Numerical Analysis

Access to Document

10.1109/Agro-Geoinformatics.2018.8476036

Cite this

Rahman, M. S., Di, L., Yu, E. G., Tang, J., Lin, L., Zhang, C., Yu, Z., & Gaigalas, J. (2018). Impact of climate change on soil salinity: A remote sensing based investigation in coastal Bangladesh. In 2018 7th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2018 Article 8476036 (2018 7th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/Agro-Geoinformatics.2018.8476036

Impact of climate change on soil salinity: A remote sensing based investigation in coastal Bangladesh. / Rahman, Md Shahinoor; Di, Liping; Yu, Eugene G. et al.
2018 7th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8476036 (2018 7th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Rahman, MS, Di, L, Yu, EG, Tang, J, Lin, L, Zhang, C, Yu, Z & Gaigalas, J 2018, Impact of climate change on soil salinity: A remote sensing based investigation in coastal Bangladesh. in 2018 7th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2018., 8476036, 2018 7th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2018, Institute of Electrical and Electronics Engineers Inc., 7th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2018, Hangzhou, China, 8/6/18. https://doi.org/10.1109/Agro-Geoinformatics.2018.8476036

Rahman MS, Di L, Yu EG, Tang J, Lin L, Zhang C et al. Impact of climate change on soil salinity: A remote sensing based investigation in coastal Bangladesh. In 2018 7th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8476036. (2018 7th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2018). doi: 10.1109/Agro-Geoinformatics.2018.8476036

Rahman, Md Shahinoor ; Di, Liping ; Yu, Eugene G. et al. / Impact of climate change on soil salinity : A remote sensing based investigation in coastal Bangladesh. 2018 7th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2018. Institute of Electrical and Electronics Engineers Inc., 2018. (2018 7th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2018).

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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",

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T2 - 7th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2018

AU - Rahman, Md Shahinoor

AU - Di, Liping

AU - Yu, Eugene G.

AU - Tang, Junmei

AU - Lin, Li

AU - Zhang, Chen

AU - Yu, Zhiqi

AU - Gaigalas, Juozas

PY - 2018/9/27

Y1 - 2018/9/27

N2 - 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.

AB - 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.

KW - Climate Change

KW - Food Security

KW - Remote Sensing

KW - Soil Salinity

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ER -

Impact of climate change on soil salinity: A remote sensing based investigation in coastal Bangladesh

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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