Results 61 to 70 of about 740 (179)

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

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

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

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

Evaluating Water Levels From the Surface Water and Ocean Topography (SWOT) Mission in a Hyper‐Tidal Coastal and Estuarine Environment

Earth and Space Science, Volume 12, Issue 7, July 2025.
Abstract The launch of the Surface Water and Ocean Topography (SWOT) satellite in December 2022 started a new era of swath altimetry, introducing an unprecedented global data set of high‐resolution two‐dimensional water level imagery. During its initial calibration and validation phase (cal/val), SWOT conducted daily observations for 3 months providing
I. D. Lichtman, P. S. Bell, C. Gommenginger, C. Banks, F. M. Calafat, J. Brown, S. D. P. Williams   +6 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

One‐Hundred Fundamental, Open Questions to Integrate Methodological Approaches in Lake Ice Research

Water Resources Research, Volume 61, Issue 5, May 2025.
Abstract The rate of technological innovation within aquatic sciences outpaces the collective ability of individual scientists within the field to make appropriate use of those technologies. The process of in situ lake sampling remains the primary choice to comprehensively understand an aquatic ecosystem at local scales; however, the impact of climate ...
Joshua Culpepper, Sapna Sharma, Grant Gunn, Madeline R. Magee, Michael F. Meyer, Eric J. Anderson, Chris Arp, Sarah W. Cooley, Wayana Dolan, Hilary A. Dugan, Claude R. Duguay, Benjamin M. Jones, Georgiy Kirillin, Robert Ladwig, Matti Leppäranta, Di Long, John J. Magnuson, Tamlin Pavelsky, Sebastiano Piccolroaz, Dale M. Robertson, Bethel G. Steele, Manu Tom, Gesa A. Weyhenmeyer, R. Iestyn Woolway, Marguerite A. Xenopoulos, Xiao Yang   +25 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

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

Feasibility Demonstration of Using the Signal‐to‐Noise Ratio Observations From Geodetic GNSS Receivers to Retrieve Dry Snow Density

Water Resources Research, Volume 61, Issue 4, April 2025.
Abstract The geodetic Global Navigation Satellite System (GNSS) receiver has been proven to retrieve snow depth using the phase change rate of the signal‐to‐noise ratio (SNR) observations. Snow density can be related to snow permittivity and is theoretically sensitive to the amplitude of the GNSS reflected signal. However, retrieving snow density using
J. Zhang, W. Wan, H. Liang, W. Ma, B. Liu, C. Liang, Z. Guo, X. Wan   +7 more
wiley   +1 more source