Results 301 to 310 of about 6,907,046 (350)

Observing the Earth

2010
The place of our planet in the Cosmos was one of the main topics of debate among the first philosophical schools. At that time, humans were also beginning to map the surface of the planet, a process which advanced slowly and involved considerable effort.
M. Vázquez, E. Pallé, P. Montañés Rodríguez   +2 more
openaire   +1 more source

Earth Observation Satellite and Earth Observation Satellite Technology

2018
<span>Six Earth observation satellites comprising the A-train satellite constellation as of 2014. Earth observation satellites are satellites specifically designed for Earth observation from orbit, similar to spy satellites but intended for non-military uses such as environmental monitoring, meteorology, map making etc.</span> <p> ...
Heiner Denker, Grzegorz Klopotek, Manabu D. Yamanaka, Eitarou Oka, Shabeh ul Hasson, Maciej Gruszczynski   +5 more
openaire   +1 more source

EarthNets: Empowering artificial intelligence for Earth observation

IEEE Geoscience and Remote Sensing Magazine
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, Fahong Zhang, Yi Wang, Yi-Lei Shi, Xiao-Xiang Zhu   +4 more
semanticscholar   +1 more source

REOBench: Benchmarking Robustness of Earth Observation Foundation Models

Neural Information Processing Systems
Earth observation foundation models have shown strong generalization across multiple Earth observation tasks, but their robustness under real-world perturbations remains underexplored.
Xiang Li, Yong Tao, Siyuan Zhang, Si-Wei Liu, Zhi-Tong Xiong, Chun-Bo Luo, Lu Liu, Mykola Pechenizkiy, Xiao Xiang Zhu, Tian-Jin Huang   +9 more
semanticscholar   +1 more source

A Generic Markov Decision Process Model and Reinforcement Learning Method for Scheduling Agile Earth Observation Satellites

IEEE Transactions on Systems, Man & Cybernetics. Systems, 2022
We investigate a general solution based on reinforcement learning for the agile satellite scheduling problem. The core idea of this method is to determine a value function for evaluating the long-term benefit under a certain state by training from ...
Yong-Ming He, Li-Ning Xing, Yingwu Chen, W. Pedrycz, Ling Wang, Guo-Hua Wu   +5 more
semanticscholar   +1 more source

Towards LLM Agents for Earth Observation

Annual Meeting of the Association for Computational Linguistics
Earth Observation (EO) provides critical planetary data for environmental monitoring, disaster management, climate science, and other scientific domains. In this work we ask: Are AI systems ready for reliable Earth Observation?
Chia-Hsiang Kao, Wen-Ting Zhao, Cheryl Lam, Aarush Umap, Shreelekha Revankar, Samuel Speas, Snehal Bhagat, Rajeev Datta, Cheng Perng Phoo, Utkarsh Mall, Carl Vondrick, Kavita Bala, B. Hariharan   +12 more
semanticscholar   +1 more source

AI for Earth Observation

This chapter explores the integration of artificial intelligence techniques within earth observation (EO) data analysis, leveraging scalable computing infrastructure to enhance capabilities in processing and deriving insights from vast EO datasets. The overview encompasses the significance of AI in EO by highlighting its applications.
Astsatryan, Hrachya, Lalayan, Arthur, Giuliani, Gregory   +2 more
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TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

International Conference on Learning Representations
Large vision and language assistants have enabled new capabilities for interpreting natural images. These approaches have recently been adapted to earth observation data, but they are only able to handle single image inputs, limiting their use for many ...
Jeremy Irvin, Emily Liu, Joyce Chen, Ines Dormoy, Jinyoung Kim, Samar Khanna, Zhuo Zheng, Stefano Ermon   +7 more
semanticscholar   +1 more source

Earth observation for landslide assessment

IEEE International Geoscience and Remote Sensing Symposium, 2003
This report provides a summary from the larger CEOS Landslide hazard team report, focusing on EO information requirements for landslide assessment.
Vern Singhroy, Hiroshi Ohkura, Nancy F. Glenn   +2 more
openaire   +1 more source

Earth observation

2017
This is a system project report explaining Earth observation project undertaken during my internship with XSealence S.A. The project was proposed by the company but since it was a large project it was divided into small several units and assigned to various groups. The report has been divided into various chapters which discuss the software development
openaire   +3 more sources