A review of assessment methods for cellular automata models of land-use change and urban growth
Cellular automata (CA) models are in growing use for land-use change simulation and
future scenario prediction. It is necessary to conduct model assessment that reports the …
future scenario prediction. It is necessary to conduct model assessment that reports the …
[PDF][PDF] Exploring the use of recurrent neural networks for time series forecasting
JP Bharadiya - International Journal of Innovative Science and …, 2023 - researchgate.net
Recurrent Neural Networks (RNNs) have become competitive forecasting methods, as most
notably shown in the winning method of the recent M4 competition. However, established …
notably shown in the winning method of the recent M4 competition. However, established …
Monitoring of land use land cover dynamics and prediction of urban growth using Land Change Modeler in Delhi and its environs, India
B Singh, V Venkatramanan, B Deshmukh - Environmental Science and …, 2022 - Springer
In the recent decades, cities have been expanding at a great pace which changes the
landscape rapidly as a result of inflow of people from rural areas and economic progression …
landscape rapidly as a result of inflow of people from rural areas and economic progression …
Future land use land cover scenario simulation using open source GIS for the city of Warangal, Telangana, India
B Aneesha Satya, M Shashi, P Deva - Applied Geomatics, 2020 - Springer
Abstract Geographical Information System (GIS) and remote sensing have become
necessary tools in finding out land use land cover (LULC) change integrated with their …
necessary tools in finding out land use land cover (LULC) change integrated with their …
Modeling the impact of urbanization on land-use change in Bahir Dar City, Ethiopia: An integrated cellular Automata–Markov Chain Approach
The fast-paced urbanization of recent decades entails that many regions are facing
seemingly uncontrolled land-use changes (LUCs) that go hand in hand with a range of …
seemingly uncontrolled land-use changes (LUCs) that go hand in hand with a range of …
The assessment of land suitability for urban development in the anticipated rapid urbanization area from the Belt and Road Initiative: A case study of Nong Khai City …
Abstract The Belt and Road Initiative is a megaproject expected to accelerate urban growth.
However, the accompanying urban development process can endanger the environment …
However, the accompanying urban development process can endanger the environment …
Urban water flow and water level prediction based on deep learning
The future planning, management and prediction of water demand and usage should be
preceded by long-term variation analysis for related parameters in order to enhance the …
preceded by long-term variation analysis for related parameters in order to enhance the …
Monitoring of land use/land cover changes using GIS and CA-Markov modeling techniques: A study in Northern Turkey
The purpose of this study, covering the northern Ulus district of Turkey, was to analyze the
forest and land use/land cover (LULC) changes in the past period from 2000 to 2020, and to …
forest and land use/land cover (LULC) changes in the past period from 2000 to 2020, and to …
Spatially distributed potential evapotranspiration modeling and climate projections
Evapotranspiration integrates energy and mass transfer between the Earth's surface and
atmosphere and is the most active mechanism linking the atmosphere, hydrosphsophere …
atmosphere and is the most active mechanism linking the atmosphere, hydrosphsophere …
Different approaches to estimating soil properties for digital soil map integrated with machine learning and remote sensing techniques in a sub-humid ecosystem
Today, data mining has become a relevant topic in digital soil map**. In this current study,
prediction of some soil properties and their spatial distribution were examined by machine …
prediction of some soil properties and their spatial distribution were examined by machine …