Artificial Neural Network-Based Land Use-Specific Carbon Patterns and Their Effects on Land Surface Temperature as a Result of the Rohingya Refugee Influx

Artificial Neural Network-Based Land Use-Specific Carbon Patterns and Their Effects on Land Surface Temperature as a Result of the Rohingya Refugee Influx

The objective of the research is to investigate how refugees’ influx has altered the carbon dynamics of different land uses and the relationship between land use specific carbon emissions and land surface temperature (LST). Two upazilais of the Cox’s Bazar district, Bangladesh...

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Bibliographic Details
Main Authors: Showmitra Kumar Sarkar, Md. Mustafa Saroar, Palash Chandra Das, Tanmoy Chakraborty, Rhyme Rubayet Rudra, Edris Alam, Md. Kamrul Islam, Abu Reza Md. Towfiqul Islam
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Carbon emissions
land surface temperature
land use land cover
remote sensing
Rohingya refugee
Online Access:https://ieeexplore.ieee.org/document/10348587/

Internet

https://ieeexplore.ieee.org/document/10348587/

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