MMEarth: Exploring multi-modal pretext tasks for geospatial representation learning
The volume of unlabelled Earth observation (EO) data is huge, but many important
applications lack labelled training data. However, EO data offers the unique opportunity to …
applications lack labelled training data. However, EO data offers the unique opportunity to …
Microplastics in Marine Ecosystems: A Comprehensive Review of Biological and Ecological Implications and its mitigation approach using nanotechnology for the …
E Marcharla, S Vinayagam, L Gnanasekaran… - Environmental …, 2024 - Elsevier
Microplastic contamination has rapidly become a serious environmental issue, threatening
marine ecosystems and human health. This review aims to not only understand the …
marine ecosystems and human health. This review aims to not only understand the …
Automated floating debris monitoring using optical satellite imagery and artificial intelligence: Recent trends, challenges and opportunities
K Bansal, AK Tripathi - Remote Sensing Applications: Society and …, 2025 - Elsevier
Unwanted and harmful floating debris creates aesthetic, economic, social, and ecological
harm. The optical satellites provide frequent global coverage across multiple spectral bands …
harm. The optical satellites provide frequent global coverage across multiple spectral bands …
[PDF][PDF] Data-centric machine learning for geospatial remote sensing data
Recent developments and research in modern machine learning have led to substantial
improvements in the geospatial field. Although numerous deep learning architectures and …
improvements in the geospatial field. Although numerous deep learning architectures and …
Better, not just more: Data-centric machine learning for Earth observation
Recent developments and research in modern machine learning have led to substantial
improvements in the geospatial field. Although numerous deep learning architectures and …
improvements in the geospatial field. Although numerous deep learning architectures and …
[HTML][HTML] Riverine litter monitoring from multispectral fine pixel satellite images
SP Garaba, YJ Park - Environmental Advances, 2024 - Elsevier
Mismanaged litter or debris in aquatic systems can pose threats to water quality and blue
economic activities. Monitoring strategies like remote sensing can complement and support …
economic activities. Monitoring strategies like remote sensing can complement and support …
Satellite images reveal untracked human activity on the oceans
Satellite images reveal untracked human activity on the oceans Skip to main content Thank you
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[HTML][HTML] Experimental observations of marginally detectable floating plastic targets in Sentinel-2 and Planet Super Dove imagery
D Papageorgiou, K Topouzelis - … Journal of Applied Earth Observation and …, 2024 - Elsevier
Remote sensing applications are garnering much attention as a promising solution for
detection, tracking and monitoring of floating marine litter (FML). With an increasing number …
detection, tracking and monitoring of floating marine litter (FML). With an increasing number …
Detection and Monitoring of Floating Plastic Debris on Inland Waters from Sentinel-2 Time Series
Floating plastic debris on water surfaces imposes both short-and long-term burdens on
nature. Hence, identifying and monitoring plastic is important to document the location and …
nature. Hence, identifying and monitoring plastic is important to document the location and …
Robust Tiny Object Detection in Aerial Images amidst Label Noise
Precise detection of tiny objects in remote sensing imagery remains a significant challenge
due to their limited visual information and frequent occurrence within scenes. This challenge …
due to their limited visual information and frequent occurrence within scenes. This challenge …