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.

Библиографические подробности
Главные авторы:	Islam, Rifah Tasmiah, Mim, Md. Shahriar, Tahiat Seeum, Nur Fathiha, Ahmed, Tahmina, Nawar, Tabassum Tanzim
Другие авторы:	Rahman, Dr. Md. Khalilur
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2023
Предметы:	Urbanization Prediction Google Earth Engine Land use/land cover (LULC) change Remote-sensed data Time series Urban growth Urban sustainability Google Earth.
Online-ссылка:	http://hdl.handle.net/10361/17928

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