GEOSatDB: global civil earth observation satellite semantic database-Reference-Cited by-同舟云学术

GEOSatDB: global civil earth observation satellite semantic database

Published:2024-03-27 Issue:3 Volume:8 Page:522-539
ISSN:2096-4471
Container-title:Big Earth Data
language:en
Short-container-title:Big Earth Data

Author:

Lin Ming¹,Jin Meng¹,Li Juanzi²,Bai Yuqi¹³

Affiliation:

1. Department of Earth System Science, Institute for Global Change Studies, Ministry of Education Ecological Field Station for East Asian Migratory Birds, Tsinghua University, Beijing, China

2. Department of Computer Science and Technology, Tsinghua University, Beijing, China

3. Tsinghua Urban Institute, Tsinghua University, Beijing, China

Funder

Major Program of the National Natural Science Foundation of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/20964471.2024.2331992

Reference43 articles.

1. Large language models are few-shot clinical information extractors

2. Digital earth: yesterday, today, and tomorrow

3. Constant-level spatio-temporal integrated search algorithm for repeating sun-synchronous orbit satellite images

4. Satellite Earth Observation for Essential Climate Variables Supporting Sustainable Development Goals: A Review on Applications

5. The World Meteorological Organization and Space-Based Observations for Weather, Climate, Water and Related Environmental Services

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