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Prithvi-EO-2.0: A Versatile Multitemporal Foundation Model for Earth Observation Applications [PDF]
IEEE Transactions on Geoscience and Remote SensingThis article presents Prithvi-EO-2.0, a new geospatial foundation model (GFM) that offers significant improvements over its predecessor, Prithvi-EO-1.0. Trained on 4.2 million global time-series samples from NASA’s Harmonized Landsat and Sentinel-2 data ...
Daniela Szwarcman +39 more
semanticscholar +1 more source
IceLines – A new data set of Antarctic ice shelf front positions
Scientific Data, 2023 The frontal position of an ice shelf is an important parameter for ice dynamic modelling, the computation of mass fluxes, mapping glacier area change, calculating iceberg production rates and the estimation of ice discharge to the ocean.
Celia A. Baumhoer +3 more
doaj +1 more source
Crisis in Earth Observation [PDF]
Science, 2007 Satellite sensors have been imaging Earth9s land surface, oceans, and ice fields since the early 1970s. The data sets derived from these observations have chronicled transformations on the planet9s surface, ranging from urban sprawl to tropical deforestation, covering even the most remote regions of the globe. Scientists in the United States, supported
openaire +2 more sources
IEEE Transactions on Geoscience and Remote Sensing, 2022 Artificial intelligence (AI) is paving the way for a new era of algorithms focusing directly on the information contained in the data, autonomously extracting relevant features for a given application.
G. Giuffrida +12 more
semanticscholar +1 more source
Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image Classification [PDF]
Isprs Journal of Photogrammetry and Remote Sensing, 2022 We present AiTLAS: Benchmark Arena – an open-source benchmark framework for evaluating state-of-the-art deep learning approaches for image classification in Earth Observation (EO). To this end, we present a comprehensive comparative analysis of more than
I. Dimitrovski +3 more
semanticscholar +1 more source
Multi-Date Earth Observation NeRF: The Detail Is in the Shadows
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023 We introduce Earth Observation NeRF (EO-NeRF), a new method for digital surface modeling and novel view synthesis from collections of multi-date remote sensing images.
R. Marí, Gabriele Facciolo, T. Ehret
semanticscholar +1 more source
Geospatial AI in Earth Observation, Remote Sensing, and GIScience
, 2023 Geospatial artificial intelligence (Geo-AI) methods have revolutionarily impacted earth observation and remote sensing [...
Kenan Li +3 more
core +1 more source
Revista de Teledetección, 2016 El proceso de validación es fundamental en teledetección para garantizar la calidad de los productos obtenidos a partir de las observaciones de satélite.
C. Latorre-Sánchez +5 more
doaj +1 more source
Satellite Edge Computing for Real-Time and Very-High Resolution Earth Observation [PDF]
IEEE Transactions on Communications, 2022 In high-resolution Earth observation imagery, Low Earth Orbit (LEO) satellites capture and transmit images to ground to create an updated map of an area of interest. Such maps provide valuable information for meteorology and environmental monitoring, but
Israel Leyva-Mayorga +6 more
semanticscholar +1 more source
The NERC Earth Observation Data Centre (NEODC): Current and forthcoming data holdings [PDF]
, 2004 A presentation to show the current and forthcoming data holdings for the NERC Earth Observation Data Centre ...
Donegan, Steve
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