Results 61 to 70 of about 771 (178)

Considerations for Coherent Integration in Spaceborne GNSS-Reflectometry

IEEE Geoscience and Remote Sensing Letters
The fundamental observable in Global Navigation Satellite System Reflectometry (GNSS-R) is the so-called DelayDoppler Map (DDM), which is derived from the cross-correlation of the reflected signal with either the direct signal or a locally generated replica of the transmitted signal as implemented in our algorithm.
Yasir M. O. Abbas, Shah Zahid Khan, Edwar Edwar, Abdul-Halim M. Jallad, Adriano Camps   +4 more
openaire   +1 more source

GNSS reflectometry for land remote sensing applications

, 2023
Soil moisture and vegetation biomass are two essential parameters from a scienti c and economical point of view. On one hand, they are key for the understanding of the hydrological and carbon cycle. On the other hand, soil moisture is essential for agricultural applications and water management, and vegetation biomass is crucial for regional ...
openaire   +4 more sources

A Unified Optimization Framework for LEO Hybrid Constellations Using an Improved Continuous Coefficient Method

Advances in Astronomy, Volume 2026, Issue 1, 2026.
Low Earth orbit (LEO) constellations are increasingly deployed to provide integrated services such as communication, navigation augmentation, and remote sensing. However, traditional constellation designs—such as Walker, streets‐of‐coverage (SoC), and Flower constellations—rely on distinct parameter sets, making unified optimization of hybrid ...
Lin Pan, Lan Du, Zhongkai Zhang, Lundong Zhang, Zejun Liu, Peiyuan Zhou, Chonghui Li, Jianguo Yan   +7 more
wiley   +1 more source

What's Next for Snow: Insights From the NASA Terrestrial Hydrology Program Community Snow Meeting

Earth's Future, Volume 13, Issue 12, December 2025.
Abstract Earth's snow cover strongly influences the climate system and represents an important resource for agricultural, industrial, and domestic water use. The last decade of snow‐focused research has improved our understanding of snow across scales. These efforts have culminated in new snow measurement instruments and methods, operational models for
Kate Hale, Joachim Meyer, Jack Tarricone, Carrie Vuyovich, Megan Mason, Hans‐Peter Marshall, Keith N. Musselman, Noah P. Molotch, Rashmi Shah, Shadi Oveisgharan   +9 more
wiley   +1 more source

Detecting Localized Floods in Tropical Regions With CYGNSS SmallSat Constellation: A Proof of Concept From the Maritime Continent

Geophysical Research Letters, Volume 52, Issue 20, 28 October 2025.
Abstract Flooding events are a major contributor to natural disasters across the global tropics. However, reliable flood data are sparse, which limits our ability to understand flood dynamics across spatial and temporal scales. Here, data from the CYGNSS SmallSat constellation are utilized to identify small‐ to regional‐scale flooding events in Sumatra.
Zofia Baldysz, Dariusz B. Baranowski, Piotr J. Flatau, Maria K. Flatau, Clara Chew   +4 more
wiley   +1 more source

Near‐ground microwave radiometry for on‐the‐go surface soil moisture sensing in micro‐irrigated orchards in California

Agrosystems, Geosciences &Environment, Volume 8, Issue 3, September 2025.
Abstract High‐resolution geospatial soil moisture measurements are needed to inform hydrological modeling and to guide water management in agriculture, especially in highly heterogeneous systems such as micro‐irrigated orchards. In this research, we used a Portable L‐band Radiometer (PoLRa) to map very high‐resolution (<2 m) soil surface moisture in ...
Elia Scudiero, Amninder Singh, Gopal R. Mahajan, Dimitrios Chatziparaschis, Jayanta Banik, Konstantinos Karydis, Derek A. Houtz, Todd H. Skaggs   +7 more
wiley   +1 more source

Integrating Advanced Sensor Technologies for Enhanced Agricultural Weather Forecasts and Irrigation Advisories: The MAGDA Project Approach

Remote Sensing
Weather forecasting is essential for agriculture, yet current methods often lack the localized accuracy required to manage extreme weather events and optimize irrigation.
Martina Lagasio, Stefano Barindelli, Zenaida Chitu, Sergio Contreras, Amelia Fernández-Rodríguez, Martijn de Klerk, Alessandro Fumagalli, Andrea Gatti, Lukas Hammerschmidt, Damir Haskovic, Massimo Milelli, Elena Oberto, Irina Ontel, Julien Orensanz, Fabiola Ramelli, Francesco Uboldi, Aso Validi, Eugenio Realini   +17 more
doaj   +1 more source

A Special Collection on Hydrogeodesy in a New Era of Satellites for Better Understanding and Management of Water Resources

Water Resources Research, Volume 61, Issue 9, September 2025.
Abstract Hydrogeodesy is the discipline that measures the Earth's solid and aquatic surfaces and gravity field from space to study water resources and their changes over time. The Special Collections on Hydrogeodesy: Understanding Changes in Water Resources Using Space Geodetic Observations, in Water Resources Research (WRR) and Geophysical Research ...
Fernando Jaramillo, Fabrice Papa, Jida Wang, Shimon Wdowinski, Georgia Destouni, James Famiglietti   +5 more
wiley   +1 more source

Review of Assimilating Spaceborne Global Navigation Satellite System Remote Sensing Data for Tropical Cyclone Forecasting

Remote Sensing
Global Navigation Satellite System (GNSS) Radio Occultation (RO) and GNSS Reflectometry (GNSS-R) are the two major spaceborne GNSS remote sensing (GNSS-RS) techniques, providing observations of atmospheric profiles and the Earth’s surface. With the rapid
Weihua Bai, Guanyi Wang, Feixiong Huang, Yueqiang Sun, Qifei Du, Junming Xia, Xianyi Wang, Xiangguang Meng, Peng Hu, Cong Yin, Guangyuan Tan, Ruhan Wu   +11 more
doaj   +1 more source

Regional Land Surface Conditions Developed Using the High‐Resolution Land Data Assimilation System: Challenges Over Complex Orography Himalayan Region

Meteorological Applications, Volume 32, Issue 4, July/August 2025.
High‐resolution land data assimilation system (HRLDAS) simulations at 2 km resolution from 2011 to 2021 over Uttarakhand. HRLDAS outperforms global and regional analyses by capturing finer spatial heterogeneity, with lower soil moisture error and high soil temperature correlation (0.94) against satellite and in situ observations.
Buri Vinodhkumar, Krishna Kishore Osuri, A. P. Dimri, Sandipan Mukherjee, Sami G. Al‐Ghamdi, Dev Niyogi   +5 more
wiley   +1 more source