A Novel Deep Learning Architecture for Agriculture Land Cover and Land Use Classification from Remote Sensing Images Based on Network-Level Fusion of Self …

HM Albarakati, MA Khan, A Hamza… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
AI-driven precision agriculture applications can benefit from the large data source that
remote sensing (RS) provides, as it can gather agricultural monitoring data at various scales …

Analysis and prediction of land surface temperature with increasing urbanisation using satellite imagery

R Vohra, A Kumar, R Jain, DJ Hemanth - Heliyon, 2024 - cell.com
The unplanned growth of urbanization in towns and cities has led to variations in Land
Surface Temperature (LST) as the green lands are converted into impervious structures …

Deep learning approaches for estimating forest vegetation cover and exploring influential ecosystem factors

HN Habeeb, YT Mustafa - Earth Science Informatics, 2024 - Springer
Accurate estimation of forest vegetation cover and understanding of ecosystem factors are
essential for effective forest management and planning. This study enhances forest …

Multi-scale extraction and spatial analysis of growth pattern changes in urban water bodies using sentinel-2 MSI imagery: a study in the central part of India

R Vohra, A Kumar, G Rongali - Stochastic Environmental Research and …, 2024 - Springer
Abstract Changes in the environmental conditions of Land Use/Land Cover can also
significantly influence surface water, mostly due to the dramatically increased biophysical …

Landscape Planning and Design Based on E Cognition High-resolution Remote Sensing Image

Y Wu - Proceedings of the 2023 International Conference on …, 2023 - dl.acm.org
High resolution remote sensing image resource is a very important geographic information
recording medium. It has great utilization value and can be digitized, informationized and …