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Artificial intelligence to advance Earth observation: a perspective

Artificial intelligence to advance Earth observation: a perspective

IEEE Geoscience and Remote Sensing Magazine (GRSM), 2023
15 May 2023
D. Tuia
Konrad Schindler
Begüm Demir
Gustau Camps-Valls
Xiao Xiang Zhu
M. Kochupillai
Jannis Brugger
Jan N. van Rijn
Holger H. Hoos
Fabio Del Frate
Mihai Datcu
Jorge-Arnulfo Quiané-Ruiz
Volker Markl
Bertrand Le Saux
Rochelle Schneider
ArXiv (abs)PDFHTML

Papers citing "Artificial intelligence to advance Earth observation: a perspective"

14 / 14 papers shown
RAMEN: Resolution-Adjustable Multimodal Encoder for Earth Observation
RAMEN: Resolution-Adjustable Multimodal Encoder for Earth Observation
Nicolas Houdré
Diego Marcos
Hugo Riffaud de Turckheim
Dino Ienco
L. Wendling
Camille Kurtz
Sylvain Lobry
175
0
0
04 Dec 2025
Leveraging AI multimodal geospatial foundation models for improved near-real-time flood mapping at a global scale
Leveraging AI multimodal geospatial foundation models for improved near-real-time flood mapping at a global scale
M. Tulbure
Julio Caineta
Mark Broich
Mollie D. Gaines
Philippe Rufin
Leon-Friedrich Thomas
Hamed Alemohammad
Jan Hemmerling
P. Hostert
AI4CE
90
0
0
27 Nov 2025
Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations
Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Chenghao Xiao
Hou Pong Chan
Hao Zhang
Mahani Aljunied
Lidong Bing
Noura Al Moubayed
Yu Rong
423
0
0
18 Apr 2025
TerraMind: Large-Scale Generative Multimodality for Earth Observation
TerraMind: Large-Scale Generative Multimodality for Earth Observation
Johannes Jakubik
Felix Yang
Benedikt Blumenstiel
Erik Scheurer
Rocco Sedona
...
P. Fraccaro
Thomas Brunschwiler
Gabriele Cavallaro
Juan Bernabé-Moreno
Alessandra Feliciotti
MLLMVLM
492
45
0
15 Apr 2025
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Melkamu Mersha
Khang Lam
Joseph Wood
Ali AlShami
Jugal Kalita
XAIAI4TS
711
94
0
30 Aug 2024
Earth System Data Cubes: Avenues for advancing Earth system research
Earth System Data Cubes: Avenues for advancing Earth system researchEnvironmental Data Science (EDS), 2024
David Montero
Guido Kraemer
Anca Anghelea
C. Aybar
Gunnar Brandt
...
Francesco Martinuzzi
Martin Reinhardt
Maximilian Sochting
Khalil Teber
Miguel D. Mahecha
212
13
0
05 Aug 2024
reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis
reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis
Kai Norman Clasen
Leonard Hackel
Tom Burgert
Gencer Sumbul
Tim Siebert
Volker Markl
676
38
0
04 Jul 2024
AI for Extreme Event Modeling and Understanding: Methodologies and
  Challenges
AI for Extreme Event Modeling and Understanding: Methodologies and Challenges
Gustau Camps-Valls
Miguel-Ángel Fernández-Torres
Kai-Hendrik Cohrs
Adrian Höhl
A. Castelletti
...
S. Salcedo-Sanz
S. Sippel
Spyros Kondylatos
Tamara Happé
T. Williams
195
4
0
28 Jun 2024
Uncertainty Aware Tropical Cyclone Wind Speed Estimation from Satellite
  Data
Uncertainty Aware Tropical Cyclone Wind Speed Estimation from Satellite Data
Nils Lehmann
N. Gottschling
Stefan Depeweg
Eric T. Nalisnick
245
3
0
12 Apr 2024
Mission Critical -- Satellite Data is a Distinct Modality in Machine
  Learning
Mission Critical -- Satellite Data is a Distinct Modality in Machine Learning
Esther Rolf
Konstantin Klemmer
Caleb Robinson
Hannah Kerner
224
73
0
02 Feb 2024
SkySense: A Multi-Modal Remote Sensing Foundation Model Towards
  Universal Interpretation for Earth Observation Imagery
SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation ImageryComputer Vision and Pattern Recognition (CVPR), 2023
Xin Guo
Jiangwei Lao
Bo Dang
Yingying Zhang
Lei Yu
...
Jian Wang
Jingdong Chen
Ming Yang
Yongjun Zhang
Yansheng Li
373
235
0
15 Dec 2023
Lightweight, Pre-trained Transformers for Remote Sensing Timeseries
Lightweight, Pre-trained Transformers for Remote Sensing Timeseries
Gabriel Tseng
Ruben Cartuyvels
Ivan Zvonkov
Mirali Purohit
David Rolnick
Hannah Kerner
345
101
0
27 Apr 2023
Learning Curves for Decision Making in Supervised Machine Learning: A Survey
Learning Curves for Decision Making in Supervised Machine Learning: A SurveyMachine-mediated learning (ML), 2022
F. Mohr
Jan N. van Rijn
262
74
0
28 Jan 2022
Explaining Deep Neural Networks and Beyond: A Review of Methods and
  Applications
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications
Wojciech Samek
G. Montavon
Sebastian Lapuschkin
Christopher J. Anders
K. Müller
XAI
399
87
0
17 Mar 2020
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