A Comparative Study of Deep Learning and CA-Markov Methods for Land Use / Land Cover Change Prediction-Reference-Cited by-同舟云学术

A Comparative Study of Deep Learning and CA-Markov Methods for Land Use / Land Cover Change Prediction

Published:2022-10 Issue: Volume: Page:
ISSN:
Container-title:2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)
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Author:

Moskolai Waytehad Rose¹,Abdou Wahabou¹,Dipanda Albert¹,Kolyang ²

Affiliation:

1. University of Burgundy Franche-comté,Dijon,France

2. University of Maroua,Maroua,Cameroun

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10089803/10089992/10090118.pdf?arnumber=10090118

Reference28 articles.

1. Above-ground biomass prediction by Sentinel-1 multitemporal data in central Italy with integration of ALOS2 and Sentinel-2 data

2. Analysis of Spatio-Temporal Dynamics of Land Use in the Bouba Ndjidda National Park and Its Adjacent Zone (North Cameroun)

3. Predicting Land Use/Land Cover Changes Using a CA-Markov Model under Two Different Scenarios

4. Exploitation de séries temporelles d’images satellites à haute résolution spatiale pour le suivi des prairies en milieu agricole;dusseux;Ph D dissertation Université Rennes 2,2014

5. Comparative analysis of the hidden markov model and lstm: A simulative approach;tadayon,2020

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