Results 41 to 50 of about 6,907,046 (350)
Advances in Earth observation and machine learning for quantifying blue carbon
Earth-Science Reviews, 2023 difficulties of cloud coverage, spectral, spatial and temporal limitations of multispectral sensors and speckle noise of synthetic aperture radar (SAR).
T. Pham +8 more
semanticscholar +1 more source
EarthNets: Empowering AI in Earth Observation [PDF]
arXiv.org, 2022 Earth observation (EO), aiming at monitoring the state of planet Earth using remote sensing data, is critical for improving our daily lives and living environment.
Zhi-Tong Xiong +4 more
semanticscholar +1 more source
Earth Observing System AM1 mission to Earth [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 1998 In 1998, NASA launches EOS-AMI, the first of a series of the Earth Observing System (EOS) satellites. EOS will monitor the evolution of the state of the earth for 18 years, starting with the morning observations of EOS-AM1 (10:30 a.m. equatorial crossing time).
Kaufman, Yoram J. +5 more
openaire +3 more sources
Foundation Models for Remote Sensing and Earth Observation: A survey
IEEE Geoscience and Remote Sensing MagazineRemote sensing (RS) is a crucial technology for observing, monitoring, and interpreting our planet, with broad applications across geoscience, economics, humanitarian fields, etc.
Aoran Xiao +6 more
semanticscholar +2 more sources
AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities [PDF]
Computer Vision and Pattern RecognitionGeospatial models must adapt to the diversity of Earth observation data in terms of resolutions, scales, and modalities. However, existing approaches expect fixed input configurations, which limits their practical applicability.
Guillaume Astruc +3 more
semanticscholar +1 more source
IEEE Geoscience and Remote Sensing Magazine, 2022 The synergistic combination of deep learning (DL) models and Earth observation (EO) promises significant advances to support the Sustainable Development Goals (SDGs).
C. Persello +6 more
semanticscholar +1 more source
Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data [PDF]
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)Large Vision-Language Models (VLMs) have demonstrated impressive performance on complex tasks involving visual input with natural language instructions.
Chen-Hui Zhang, Sherrie Wang
semanticscholar +1 more source
, 2022 Achieving the 17 UN Sustainable Development Goals (SDGs) requires accurate, consistent and cost-efficient data. The papers in this book set out some of the frontiers regarding the use of Earth Observation (EO) data derived from satellites to help ...
core +1 more source
Beyond Grid Data: Exploring graph neural networks for Earth observation [PDF]
IEEE Geoscience and Remote Sensing MagazineEarth observation (EO) data analysis has been significantly revolutionized by deep learning (DL), with applications typically limited to grid-like data structures. Graph neural networks (GNNs) emerge as an important innovation, propelling DL into the non-
Shan Zhao +5 more
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Explainable AI for earth observation: A review including societal and regulatory perspectives
International Journal of Applied Earth Observation and Geoinformation, 2022 Artificial intelligence and machine learning are ubiquitous in the domain of Earth Observation (EO) and Remote Sensing. Congruent to their success in the domain of computer vision, they have proven to obtain high accuracies for EO applications.
C. Gevaert
semanticscholar +1 more source