1 publication

• Published Subscription Original Research 24 Sep 2026

  Deep Learning for Earth Observation Using Satellite Imagery: A Comprehensive Review

  By Asmita Chavan, Bhakti Gavali, Aditi Gavali, Jyoti Ghadage, Vaibhav Godase

  Abstract: Earth observation (EO) satellites provide continuous, large-scale information about the Earth's land, oceans, atmosphere, vegetation, infrastructure, and environmental conditions. The rapid growth of multispectral, hyperspectral, synthetic aperture radar (SAR), thermal, and high- resolution satellite missions has generated large volumes of heterogeneous spatial and temporal data. Conventional image-processing and machine-learning techniques often require manually designed features and may have difficulty representing the complex spatial, spectral, temporal, and multimodal characteristics of satellite …

  Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 2, 2026 Read article →