A novel CNN-LSTM-based approach to predict urban expansion-Reference-Cited by-同舟云学术

A novel CNN-LSTM-based approach to predict urban expansion

Published:2021-09 Issue: Volume:64 Page:101325
ISSN:1574-9541
Container-title:Ecological Informatics
language:en
Short-container-title:Ecological Informatics

Author:

Boulila Wadii,Ghandorh Hamza,Khan Mehshan Ahmed,Ahmed Fawad,Ahmad Jawad

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Ecological Modeling,Modeling and Simulation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference66 articles.

1. Tensorflow: Large-scale machine learning on heterogeneous distributed systems;Abadi;arXiv:1603.04467,2016

2. Snowmelt runoff prediction under changing climate in the Himalayan cryosphere: a case of Gilgit River Basin;Adnan;Geosci. Front.,2017

3. DTW-CNN: time series-based human interaction prediction in videos using CNN-extracted features;Afrasiabi;Vis. Comput.,2019

4. Three-Fold Urban Expansion in Saudi Arabia from 1992 to 2013 Observed Using Calibrated DMSP-OLS Night-Time Lights Imagery;Alahmadi;Remote Sensing,2019

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 Sensing,2016

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