Results 81 to 90 of about 6,666 (215)

A Self‐Supervised Framework for Space Object Behaviour Characterisation

Expert Systems, Volume 43, Issue 10, October 2026.
ABSTRACT Foundation Models, which leverage large neural networks pre‐trained on unlabelled data before fine‐tuning for specific tasks, are increasingly being applied to specialised domains. Recent examples include ClimaX for climate and Clay for satellite Earth observation, but a Foundation Model for Space Object Behavioural Analysis (SOBA) has not yet
Ian Groves, Andrew Campbell, James Fernandes, Diego Ramírez Rodríguez, Paul Murray, Massimiliano Vasile, Victoria Nockles   +6 more
wiley   +1 more source

Assessment of Soil Moisture Data Requirements by the Potential SMAP Data User Community: Review of SMAP Mission User Community [PDF]

, 2013
NASA's Soil Moisture Active and Passive (SMAP) mission is planned for launch in October 2014 and will provide global measurements of soil moisture and freeze thaw state.
Brown, Molly E., Escobar, Vanessa M.
core  

SMap: Internet-wide Scanning for Spoofing

, 2021
To protect themselves from attacks, networks need to enforce ingress filtering, i.e., block inbound packets sent from spoofed IP addresses. Although this is a widely known best practice, it is still not clear how many networks do not block spoofed ...
Dai, Tianxiang, Shulman, Haya
core   +3 more sources

Spatially Interpolated CYGNSS Data Improve Downscaled 3 km SMAP/CYGNSS Soil Moisture

Remote Sensing
Soil moisture data with both a fine spatial scale and a short global repeat period would benefit many hydrologic and climatic applications. Since the radar transmitter malfunctioned on NASA’s Soil Moisture Active Passive (SMAP) in 2015, SMAP soil ...
Liza J. Wernicke, Clara C. Chew, Eric E. Small   +2 more
doaj   +1 more source

Integrated SMAP and SMOS Soil Moisture Observations [PDF]

, 2019
Soil Moisture Active Passive (SMAP) mission and the Soil Moisture and Ocean Salinity (SMOS) missions provide brightness temperature and soil moisture estimates every 2-3 days.
Bindlish, Rajat, Jackson, Thomas J., Chan, Steven, Kerr, Yann, Colliander, Andreas   +4 more
core  

Phytotoxic Effects of Ethanolic Extracts of Magonia pubescens A.St.‐Hil. (Sapindaceae) on the Germination of Emilia sonchifolia (L.) DC. Seeds

Chemistry &Biodiversity, Volume 23, Issue 9, September 2026.
Ethanolic extracts from Magonia pubescens exhibit concentration‐dependent allelopathic activity against Emilia sonchifolia. Leaf extracts strongly inhibit seed germination and seedling growth, surpassing glyphosate under the tested conditions, whereas intermediate concentrations stimulate germination, indicating hormesis.
José Jonas Ferreira Viturino, Joice Barbosa do Nascimento, Debora Odilia Duarte Leite, Maria Eloyse de Melo Sousa, Jociany Carlos Caetano, Francisca Adriana Gomes dos Santos, Maria Arlene Pessoa da Silva, José Galberto Martins da Costa, Fabíola Fernandes Galvão Rodrigues, Raimundo Nonato Pereira Teixeira   +9 more
wiley   +1 more source

Toward an Improved Understanding of the Antarctic Coastal Zone and Its Contribution to Future Global Sea Level

Reviews of Geophysics, Volume 64, Issue 3, September 2026.
Abstract Understanding the coastal zone of the Antarctic Ice Sheet (AIS), where it interacts with the Southern Ocean and warmer air masses, is crucial for predicting Antarctica's influence on the global climate and sea level. This region has multiple tipping mechanisms that could trigger large, rapid, and potentially irreversible changes in the AIS ...
Kenichi Matsuoka, Geir Moholdt, Jennifer F. Arthur, Julien A. Bodart, Xiangbin Cui, Fausto Ferraccioli, René Forsberg, Vikram Goel, Tom A. Jordan, Felicity S. McCormack, Ruth Mottram, Hamish D. Pritchard, Calvin Shackleton, Kirsty J. Tinto, Fredrik Boberg, Marie G. P. Cavitte, Reinhard Drews, Pierre Dutrieux, Jörg Ebbing, Olaf Eisen, Hannes Eisermann, Alex S. Gardner, Chad A. Greene, Nicholas Holschuh, Stewart S. R. Jamieson, Byeong‐Hoon Kim, Naomi Krauzig, Bernd Kulessa, Carlton Leuschen, Jilu Li, Lu Li, Jonas Liebsch, Joseph A. MacGregor, Emma MacKie, Anirudha Mahagaonkar, Joséphine Maton, Mathieu Morlighem, Francisco Navarro, Peter D. Neff, Inès N. Otosaka, Frank Pattyn, Antonia Ruppel, Rebecca J. Sanderson, Hélène Seroussi, Andrew Shepherd, Matthew R. Siegfried, Thomas Slater, Arjen P. Stroeven, Michael Studinger, Thomas Teisberg, Ryan A. Venturelli, Jeremy P. Winberry, Chen Zhao, Lu An, Jonathan L. Bamber, Robin E. Bell, Robert G. Bingham, Johanna Brehmer‐Moltmann, Graeme Eagles, Jamin Greenbaum, Jorn Gronset, Won Sang Lee, Emmanuel Le Meur, Lenneke M. Jong, Katrin Lindbäck, Sven Lidström, Mareen Lösing, Masahiro Minowa, Mayuri Pandey, Yogesh Ray, Mirko Scheinert, Dustin M. Schroeder, Thorsten Seehaus, Kaian Shahateet, Daniel Steinhage, Xueyuan Tang, Drew Taylor, Hannah Verboncoeur, Junjun Yang, Duncan A. Young   +79 more
wiley   +1 more source

Development of a New Generic AI Model for Spatio‐Temporal Prediction of Soil Moisture and Soil Water Isotopes

Water Resources Research, Volume 62, Issue 9, September 2026.
Abstract Understanding water fluxes and mixing dynamics in the unsaturated zone is crucial for ecohydrological studies. Yet, observations of soil moisture and soil water isotopes remain limited in spatial extent and temporal resolution, restricting modeling studies on the critical zone. A data‐driven Artificial Intelligence (AI) approach was applied in
Hyekyeng Jung, Dörthe Tetzlaff, Kristina Yordanova, Chris Soulsby   +3 more
wiley   +1 more source

The Role of Assimilating Deep Learning‐Enhanced AMSR‐E/2 Observations in European Soil Moisture Reanalysis

Water Resources Research, Volume 62, Issue 9, September 2026.
Abstract Soil moisture is an essential climate variable that controls the exchange of water and energy between land and atmosphere, directly impacting land surface feedbacks. Satellite‐derived soil moisture provides valuable large‐scale information, but long‐term applications are limited by sensor lifespans, retrieval noise, and systematic biases ...
Visakh Sivaprasad, Johannes Keller, Yorck Ewerdwalbesloh, Anne Springer, Harrie‐Jan Hendricks Franssen, Harry Vereecken, Carsten Montzka   +6 more
wiley   +1 more source

Quasi-SMAP: A SMAP-Referenced Long-Term Daily Surface Soil Moisture Record From 1981 to 2022

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Long-term daily surface soil moisture records are important for hydrological, ecological, and drought-related applications. However, existing satellite soil moisture products still face a tradeoff among temporal length, daily spatial continuity, and ...
Yunjia Wang, Hao Sun, Jinhua Gao
doaj   +1 more source