Results 121 to 130 of about 14,281,997 (294)

Retrieval ocean surface wind speed of Triton meteorological satellite mission

Terrestrial, Atmospheric and Oceanic Sciences
Global Navigation Satellite Systems-Reflectometry (GNSS-R) technique is used to explore the Earth environment by using the Earth surface reflected GNSS signal.
Wen-Hao Yeh, Yung-Fu Tsai, Chen-Tsung Lin, Chun-Chi Cheng, Shih-Hung Lo, Hsu-Hui Ho, Jyun-Ying Huang, Tie-Yue Liu, Chao-Yen Chen   +8 more
doaj   +1 more source

Unmanned aerial vehicle–based spatiotemporal phenotyping and growth modeling for forecasting potato yield

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Monitoring spatial variations in plant growth and forecasting yield before harvest provides valuable insights for optimizing agronomic decision‐making in potato (Solanum tuberosum L.) cultivation. Although unmanned aerial vehicle (UAV)‐based remote sensing has recently enabled the development of tuber fresh weight (TW) estimation models, their
Yuto Imachi, Kunihiro Tanaka, Minato Miyauchi, Kyosuke Miyamoto, Masahiro Okada, Pieter M. Blok, Wei Guo, Hiroyoshi Iwata   +7 more
wiley   +1 more source

Integrity concepts for future maritime Ground Based Augmentation Systems [PDF]

, 2009
Global Navigation Satellite Systems (GNSS) require augmentation to achieve integrity and accuracy performance for high-precise safety of life applications. The current standard maritime GNSS augmentation system is a differential GPS (DGPS) beacon system,
Minkwitz, David, Engler, Evelin, Noack, Thoralf, Gewies, Stefan, Klisch, Anja   +4 more
core  

UAV‐based deep transfer learning to improve grain yield prediction in winter wheat across temporal and spatial variability

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Accurate prediction of grain yield (GY) remains a major challenge in plant breeding due to complex interactions between genotype, environment, and management (G × E × M) factors. Remote sensing data from unmanned aerial vehicles (UAVs) equipped with multispectral sensors have emerged as a pivotal resource for high‐throughput phenotyping.
Swas Kaushal, Mohammad Maruf Billah, Mandeep Singh, Dante Koupal, Pradeep Raj Sitaula, Jyotirmoy Halder, Jagdeep Sidhu, Maitiniyazi Maimaitijiang, Sunish K. Sehgal   +8 more
wiley   +1 more source

PARFAIT: GNSS-R coastal altimetry

, 2003
GNSS-R signals contain a coherent and an incoherent component. A new algorithm for coherent phase altimetry over rough ocean surfaces, called PARFAIT, has been developed and implemented in Starlab's STARLIGHT GNSS-R software package. In this paper we report our extraction and analysis of the coherent component of L1 GPS-R signals collected during the ...
Caparrini, M., Ruffini, L., Ruffini, G.
openaire   +2 more sources

Statistical GNSS performance assessment as part of the ALEGRO Ground Based Augmentation System inside Research Harbour Rostock [PDF]

, 2009
In the Research Port Rostock the Institute of Communication and Navigation of the German Aerospace Center deployed and operates an experimental Ground Based Augmentation System (GBAS).
Gewies , Stefan, Engler, Evelin, Noack, Thoralf, Becker, Carsten, Klisch, Anja   +4 more
core  

High‐throughput assessment of plant stand establishment, seedling vigor, and light interception in peanut using UAV‐based RGB and multispectral imagery

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract In peanut (Arachis hypogaea L.), plant stand establishment, seedling vigor, and canopy growth are key determinants of crop performance; yet traditional ground‐based assessment methods can be destructive, labor‐intensive, and limited in throughput.
Ved Parkash, Jessie H. Adams, Javier Rodriguez‐Sanchez, John L. Snider, Phillip L. Vines, Brian M. Schwartz, Nino Brown   +6 more
wiley   +1 more source

Evaluation of uncrewed aerial system‐derived vegetation indices for forage trait phenomic prediction in oat–pea intercrop breeding trials

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Accelerating genetic gain in intercrop forage breeding requires scalable phenotyping approaches that can capture both yield and quality variation across complex genotype combinations. This study evaluated the use of uncrewed aerial system (UAS)‐derived multispectral vegetation indices (VIs) for predicting forage yield and nutritive quality in ...
Milcah Kigoni, Raysa Gevartosky, Lucas B. Munaro, Tim Mies, Luis Gehrke, Jessica Rutkoski, Juan David Arbelaez   +6 more
wiley   +1 more source

Spaceborne GNSS Reflectometry for Vegetation and Inland Water Monitoring: Progress, Challenges, Opportunities, and Potential

Remote Sensing
Global navigation satellite system reflectometry (GNSS-R) uses the reflection characteristics of navigation satellite signals reflected from the earth’s surface to provide an innovative tool for remote sensing, especially for monitoring surface and ...
Jiaxi Xie, Jinwei Bu, Huan Li, Qiulan Wang   +3 more
doaj   +1 more source

Collocated Geotechnical and Geophysical Test Dataset at Three Sites in Napier, New Zealand

Earthquake Spectra, Volume 42, Issue 4, November 2026.
Reliable assessment of liquefaction hazard, particularly in the context of groundwater fluctuations associated with hydroclimatic changes and variability between liquefaction assessment methods, necessitates supplementary data and advanced site characterization methods.
Aavash Ghimire, Kaleigh M. Yost, Andrew Stolte, Rolando Orense, Alfonso Mejia   +4 more
wiley   +1 more source