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.

Dettagli Bibliografici
Autori principali: Islam, Rifah Tasmiah, Mim, Md. Shahriar, Tahiat Seeum, Nur Fathiha, Ahmed, Tahmina, Nawar, Tabassum Tanzim
Altri autori: Rahman, Dr. Md. Khalilur
Natura: Tesi
Lingua:English
Pubblicazione: Brac University 2023
Soggetti:
Urbanization Prediction
Google Earth Engine
Land use/land cover (LULC) change
Remote-sensed data
Time series
Urban growth
Urban sustainability
Google Earth.
Accesso online:http://hdl.handle.net/10361/17928

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