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.

Detalles Bibliográficos
Autores principales: Islam, Rifah Tasmiah, Mim, Md. Shahriar, Tahiat Seeum, Nur Fathiha, Ahmed, Tahmina, Nawar, Tabassum Tanzim
Otros Autores: Rahman, Dr. Md. Khalilur
Formato: Tesis
Lenguaje:English
Publicado: Brac University 2023
Materias:
Urbanization Prediction
Google Earth Engine
Land use/land cover (LULC) change
Remote-sensed data
Time series
Urban growth
Urban sustainability
Google Earth.
Acceso en línea:http://hdl.handle.net/10361/17928

Internet

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

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