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.

Dades bibliogràfiques
Autors principals: Islam, Rifah Tasmiah, Mim, Md. Shahriar, Tahiat Seeum, Nur Fathiha, Ahmed, Tahmina, Nawar, Tabassum Tanzim
Altres autors: Rahman, Dr. Md. Khalilur
Format: Thesis
Idioma:English
Publicat: Brac University 2023
Matèries:
Urbanization Prediction
Google Earth Engine
Land use/land cover (LULC) change
Remote-sensed data
Time series
Urban growth
Urban sustainability
Google Earth.
Accés en línia:http://hdl.handle.net/10361/17928

Internet

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

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