Dynamics and Predictability of Land Use/Land Cover Change using Artificial Neural Network-Based Cellular Automata (ANN-CA): The Case of the Upper Awash River Basin, Ethiopia

Domain:

geospatial

Record type:

paper

Creator:

GebAddAbe

Publisher:

Spr

Host:

Visit

Licenses

https://www.springernature.com/gp/researchers/text-and-data-mining https://www.springernature.com/gp/researchers/text-and-data-mining

Similar

Cellular Automata–Artificial Neural Network Modelling for Spatio-Temporal Land Use/Land Cover DynamicsModeling of land use/land cover dynamics using artificial neural network and cellular automata Markov chain algorithms in Goang watershed, EthiopiaScenario-Based Land Use and Land Cover Change Detection and Prediction Using the Cellular Automata–Markov Model in the Gumara Watershed, Upper Blue Nile Basin, EthiopiaGIS Cellular Automata Using Artificial Neural Network for Land Use Change Simulation of Lagos, Nigeria الأتمتة الخلوية لنظام المعلومات الجغرافية باستخدام الشبكة العصبية الاصطناعية لمحاكاة تغيير استخدام الأراضي في لاغوس، نيجيريا GIS Cellular Automata Using Artificial Neural Network for Land Use Change Simulation de Lagos, Nigeria GIS Cellular Automata Using Artificial Neural Network for Land Use Change Simulation of Lagos, NigeriaFuture land use change simulations for the Lepelle River Basin using Cellular Automata Markov model with Land Change Modeller-generated transition areasImpact of Land Use Land Cover Dynamics on Stream Flow: A case of Borkena Watershed, Awash Basin, Ethiopia

Cellular Automata–Artificial Neural Network Modelling for Spatio-Temporal Land Use/Land Cover Dynamics

Context and background: Understanding land use and land cover (LULC) dynamics is critical for sust

Modeling of land use/land cover dynamics using artificial neural network and cellular automata Markov chain algorithms in Goang watershed, Ethiopia

Land Use/Land Cover (LULC) change has inhibited sustainable development for the last millennia by af

Scenario-Based Land Use and Land Cover Change Detection and Prediction Using the Cellular Automata–Markov Model in the Gumara Watershed, Upper Blue Nile Basin, Ethiopia

Land use and land cover (LULC) change detection and prediction studies are crucial for supporting su

GIS Cellular Automata Using Artificial Neural Network for Land Use Change Simulation of Lagos, Nigeria الأتمتة الخلوية لنظام المعلومات الجغرافية باستخدام الشبكة العصبية الاصطناعية لمحاكاة تغيير استخدام الأراضي في لاغوس، نيجيريا GIS Cellular Automata Using Artificial Neural Network for Land Use Change Simulation de Lagos, Nigeria GIS Cellular Automata Using Artificial Neural Network for Land Use Change Simulation of Lagos, Nigeria

Tremendous land use change has occurred in Lagos in recent times.Modelling urban systems now extends

Future land use change simulations for the Lepelle River Basin using Cellular Automata Markov model with Land Change Modeller-generated transition areas

Background: Land cover/land cover (LULC) change is one of the major contributor

Impact of Land Use Land Cover Dynamics on Stream Flow: A case of Borkena Watershed, Awash Basin, Ethiopia

Land use and land cover in recent decades have changed ecosystems more rapidly and extensively than