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.

Détails bibliographiques
Auteurs principaux: Islam, Rifah Tasmiah, Mim, Md. Shahriar, Tahiat Seeum, Nur Fathiha, Ahmed, Tahmina, Nawar, Tabassum Tanzim
Autres auteurs: Rahman, Dr. Md. Khalilur
Format: Thèse
Langue:English
Publié: Brac University 2023
Sujets:
Urbanization Prediction
Google Earth Engine
Land use/land cover (LULC) change
Remote-sensed data
Time series
Urban growth
Urban sustainability
Google Earth.
Accès en ligne:http://hdl.handle.net/10361/17928

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