Zobrazeno 1 - 10
of 340 428
pro vyhledávání: '"Satellite Data"'
Autor:
Marchese, Christian, Boss, Emmanuel, Falcini, Federico, Doxaran, David, deVargas, Colomban, Pfister, Gerald, Brando, Vittorio E.
Publikováno v:
Oceanography, 2024 Sep 01. 37(3), 70-75.
Externí odkaz:
https://www.jstor.org/stable/27333925
Autor:
Singla, Jai G
Accurate classification of buildings into residential and non-residential categories is crucial for urban planning, infrastructure development, population estimation and resource allocation. It is a complex job to carry out automatic classification o
Externí odkaz:
http://arxiv.org/abs/2411.06879
Autor:
Bi, Hanqing, Neethirajan, Suresh
This study investigates the correlation between dairy farm characteristics and methane concentrations as derived from satellite observations in Eastern Canada. Utilizing data from 11 dairy farms collected between January 2020 and December 2022, we in
Externí odkaz:
http://arxiv.org/abs/2411.08766
Climate change is increasing the frequency of extreme precipitation events, making weather disasters such as flooding and landslides more likely. The ability to accurately nowcast precipitation is therefore becoming more critical for safeguarding soc
Externí odkaz:
http://arxiv.org/abs/2412.02723
While advances in machine learning with satellite imagery (SatML) are facilitating environmental monitoring at a global scale, developing SatML models that are accurate and useful for local regions remains critical to understanding and acting on an e
Externí odkaz:
http://arxiv.org/abs/2411.14354
Autor:
Tan, Linlin, Wu, Haishan
Mangroves play a crucial role in maintaining coastal ecosystem health and protecting biodiversity. Therefore, continuous mapping of mangroves is essential for understanding their dynamics. Earth observation imagery typically provides a cost-effective
Externí odkaz:
http://arxiv.org/abs/2411.11918
The Leaf Area Index (LAI) is a critical parameter to understand ecosystem health and vegetation dynamics. In this paper, we propose a novel method for pixel-wise LAI prediction by leveraging the complementary information from Sentinel 1 radar data an
Externí odkaz:
http://arxiv.org/abs/2410.19787