Predicting Urban trends of growth with Google Earth Engine

Predicting Urban trends of growth with Google Earth Engine

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Bibliografische gegevens
Hoofdauteurs: Islam, Rifah Tasmiah, Mim, Md. Shahriar, Tahiat Seeum, Nur Fathiha, Ahmed, Tahmina, Nawar, Tabassum Tanzim
Andere auteurs: Rahman, Dr. Md. Khalilur
Formaat: Thesis
Taal:English
Gepubliceerd in: Brac University 2023
Onderwerpen:
Urbanization Prediction
Google Earth Engine
Land use/land cover (LULC) change
Remote-sensed data
Time series
Urban growth
Urban sustainability
Google Earth.
Online toegang:http://hdl.handle.net/10361/17928

Internet

http://hdl.handle.net/10361/17928

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