Land use and land cover classification for change detection studies using convolutional neural network

Land use and land cover classification for change detection studies using convolutional neural network

Efficient land use land cover (LULC) classification is crucial for environmental monitoring, urban planning, and resource management. This study investigates LULC changes in Nanjangud taluk, Mysuru district, Karnataka, India, using remote sensing (RS) and geographic information systems (GIS). This p...

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Bibliographic Details
Main Authors: V. Pushpalatha, P.B. Mallikarjuna, H.N. Mahendra, S. Rama Subramoniam, S. Mallikarjunaswamy
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Applied Computing and Geosciences
Subjects:
Remote sensing: geographic information systems
Convolutional neural networks
Deep learning
Change detection
Resourcesat-1
Linear imaging self-scanning sensor-III
Online Access:http://www.sciencedirect.com/science/article/pii/S2590197425000096
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