Holdings: Multi-spectral remote sensing and GIS-based analysis for decadal land use land cover changes and future prediction using random forest tree and artificial neural network

Multi-spectral remote sensing and GIS-based analysis for decadal land use land cover changes and future prediction using random forest tree and artificial neural network

The integration of multi-spectral remote sensing and GIS-based analysis is significant for studying land cover changes, providing valuable insights for informed land management and sustainable development. The present study aims to examine land use land cover (LULC) changes of three decades from 199...

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Bibliographic Details
Main Authors:	Bao Pham Q., Ajim Ali S., Parvin F., Van On V., Mohd Sidek L., ?urin B., Cetl V., ?amanovi? S., Nguyet Minh N.
Other Authors:	57208495034
Format:	Article
Published:	Elsevier Ltd 2025
Subjects:	Forecasting Forestry Land use Multilayer neural networks Remote sensing Binh duong province Land cover maps Land use/land cover Land-use land-cover changes Land-use prediction Landuse change Multi-spectral Random forests Remote sensing and GIS Remote-sensing Geographic information systems
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Multi-spectral remote sensing and GIS-based analysis for decadal land use land cover changes and future prediction using random forest tree and artificial neural network

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