Remote sensing approach to simulate the land use/land cover and seasonal land surface temperature change using machine learning algorithms in a fastest-growing megacity of Bangladesh-Reference-Cited by-同舟云学术

Remote sensing approach to simulate the land use/land cover and seasonal land surface temperature change using machine learning algorithms in a fastest-growing megacity of Bangladesh

Published:2021-01 Issue: Volume:21 Page:100463
ISSN:2352-9385
Container-title:Remote Sensing Applications: Society and Environment
language:en
Short-container-title:Remote Sensing Applications: Society and Environment

Author:

Kafy Abdulla - Al,Faisal Abdullah-Al-,Shuvo Ragib Mahmood,Naim Md. Nazmul Huda,Sikdar Md. Soumik,Chowdhury Radwan Rahman,Islam Md. Arshadul^ORCID,Sarker Md. Hasnan Sakin,Khan Md. Hasib Hasan,Kona Marium Akter

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geography, Planning and Development

Reference80 articles.

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5. Urban land cover change modelling using time-series satellite images: a case study of urban growth in five cities of Saudi Arabia;Alqurashi;Remote Sens.,2016

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