[HTML][HTML] Deep learning for urban land use category classification: A review and experimental assessment
Map** the distribution, pattern, and composition of urban land use categories plays a
valuable role in understanding urban environmental dynamics and facilitating sustainable …
valuable role in understanding urban environmental dynamics and facilitating sustainable …
Artificial Intelligence to Advance Earth Observation: A review of models, recent trends, and pathways forward
Earth observation (EO) is increasingly used for map** and monitoring processes
occurring at the surface of Earth. Data acquired by satellites nowadays allow us to have a …
occurring at the surface of Earth. Data acquired by satellites nowadays allow us to have a …
Urban foundation models: A survey
Machine learning techniques are now integral to the advancement of intelligent urban
services, playing a crucial role in elevating the efficiency, sustainability, and livability of …
services, playing a crucial role in elevating the efficiency, sustainability, and livability of …
Geospatial foundation models for image analysis: Evaluating and enhancing NASA-IBM Prithvi's domain adaptability
Research on geospatial foundation models (GFMs) has become a trending topic in
geospatial artificial intelligence (AI) research due to their potential for achieving high …
geospatial artificial intelligence (AI) research due to their potential for achieving high …
[HTML][HTML] Advancing Arctic sea ice remote sensing with AI and deep learning: Opportunities and challenges
Revolutionary advances in artificial intelligence (AI) in the past decade have brought
transformative innovation across science and engineering disciplines. In the field of Arctic …
transformative innovation across science and engineering disciplines. In the field of Arctic …
Foundation models for the electric power grid
Foundation models (FMs) currently dominate news headlines. They employ advanced deep
learning architectures to extract structural information autonomously from vast datasets …
learning architectures to extract structural information autonomously from vast datasets …
[HTML][HTML] ChatGeoAI: Enabling geospatial analysis for public through natural language, with large language models
Large Language Models (LLMs) such as GPT, BART, and Gemini stand at the forefront of
Generative Artificial Intelligence, showcasing remarkable prowess in natural language …
Generative Artificial Intelligence, showcasing remarkable prowess in natural language …
Phileo bench: Evaluating geo-spatial foundation models
C Fibaek, L Camilleri, A Luyts… - IGARSS 2024-2024 …, 2024 - ieeexplore.ieee.org
Massive amounts of unlabelled data are captured by Earth Observation (EO) satellites, with
the Sentinel-2 constellation generating 1.6 TB of data daily. This makes Remote Sensing a …
the Sentinel-2 constellation generating 1.6 TB of data daily. This makes Remote Sensing a …
[HTML][HTML] Detecting floating litter in freshwater bodies with semi-supervised deep learning
Researchers and practitioners have extensively utilized supervised Deep Learning methods
to quantify floating litter in rivers and canals. These methods require the availability of large …
to quantify floating litter in rivers and canals. These methods require the availability of large …
When Geoscience Meets Foundation Models: Toward a general geoscience artificial intelligence system
Artificial intelligence (AI) has significantly advanced Earth sciences, yet its full potential in to
comprehensively modeling Earth's complex dynamics remains unrealized. Geoscience …
comprehensively modeling Earth's complex dynamics remains unrealized. Geoscience …