Predicting of Land Surface Temperature Distribution in Freetown City, Sierra Leone by Using Polynomial Curve Fitting Model

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ISSN Print: 2151-1950
ISSN Online: 2151-1969
www.scirp.org/journal/jgis
E-mail: jgis@scirp.org

"Predicting of Land Surface Temperature Distribution in Freetown City, Sierra Leone by Using Polynomial Curve Fitting Model"
written by Elhadi K. Mustafa, Guoxiang Liu, Abubakr Hassan, Mohamed A. Damos, Musa Tarawally,
published by Journal of Geographic Information System, Vol.12 No.5, 2020

has been cited by the following article(s):

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[1]	BioTouch: Reliable Re-Authentication via Finger Bio-Capacitance and Touching Behavior Sensors, 2022 DOI:10.3390/s22093583

[2]	A novel AI approach for modeling land surface temperature of Freetown, Sierra Leone, based on land-cover changes International Journal of Digital Earth, 2022 DOI:10.1080/17538947.2022.2099022

[3]	A novel AI approach for modeling land surface temperature of Freetown, Sierra Leone, based on land-cover changes International Journal of Digital Earth, 2022 DOI:10.1080/17538947.2022.2099022

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