Results 31 to 40 of about 333 (162)

Deep Learning-Based Soil Moisture Retrieval in CONUS Using CYGNSS Delay–Doppler Maps

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
National Aeronautics and Space Administration's Cyclone Global Navigation Satellite System (CYGNSS) mission has gained significant attention within the land remote sensing community for estimating soil moisture (SM) by using the Global Navigation ...
M M Nabi, Volkan Senyurek, Ali C. Gurbuz, Mehmet Kurum   +3 more
doaj   +1 more source

Multiresolution soil moisture products based on a spatially adaptive estimation model and CYGNSS data

GIScience & Remote Sensing
The estimation of soil moisture (SM) utilizing the data from the Cyclone Global Navigation Satellite System (CYGNSS) has attracted significant interest in recent times.
Yan Jia, Jiaqi Zou, Shuanggen Jin, Qingyun Yan, Yixiang Chen, Yan Jin, Patrizia Savi   +6 more
doaj   +1 more source

Improved GPS-Based Single-Frequency Orbit Determination for the CYGNSS Spacecraft Using GipsyX

Navigation, 2023
This paper presents methods for the precise orbit determination (POD) of a satellite in the CYGNSS constellation based on available single-frequency GPS code and carrier measurements. The contributions include the development and evaluation of procedures
Alex V. Conrad, Penina Axelrad, Bruce Haines, Cinzia Zuffada, Andrew O’Brien   +4 more
doaj   +1 more source

Soil Moisture Content from GNSS Reflectometry Using Dielectric Permittivity from Fresnel Reflection Coefficients

Remote Sensing, 2020
Global Navigation Satellite Systems-Reflectometry (GNSS-R) has shown unprecedented advantages to sense Soil Moisture Content (SMC) with high spatial and temporal coverage, low cost, and under all-weather conditions.
Andres Calabia, Iñigo Molina, Shuanggen Jin   +2 more
doaj   +1 more source

The Correction Method of Water and Fresnel Reflection Coefficient for Soil Moisture Retrieved by CYGNSS

Remote Sensing, 2023
Spaceborne GNSS-R technology is a new remote sensing method for soil moisture monitoring. Focusing on the significant influence of water on the surface reflectivity of CYGNSS, this paper improved the removal method of water influence according to the ...
Qi Wang, Jiaojiao Sun, Xin Chang, Taoyong Jin, Jinguang Shang, Zhiyong Liu   +5 more
doaj   +1 more source

Analysis of CYGNSS Data for Soil Moisture Retrieval

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019
Data from the CYGNSS mission, originally conceived to monitor tropical cyclones, are being investigated here for land applications as well. In this paper, a methodology for soil moisture (SM) retrieval from CYGNSS data is presented. The approach derives Level 3 gridded daily SM estimations, over the latitudinal band covered by CYGNSS, at a resolution ...
Maria Paola Clarizia, Nazzareno Pierdicca, Fabiano Costantini, Nicolas Floury   +3 more
openaire   +2 more sources

Satellite‐Based Estimation of Near‐Surface Specific Humidity During Tropical Cyclones in the Western North Pacific and North Atlantic

Geophysical Research Letters, Volume 53, Issue 4, 28 February 2026.
Abstract The near‐surface specific humidity is critical for accurately estimating the enthalpy flux from the ocean, which plays an important role in tropical cyclone intensification. However, under the severe oceanic and atmospheric conditions of these storms, even spaceborne microwave radiometers struggle to retrieve reliable humidity data.
Hiroyuki Tomita, Akiyoshi Wada
wiley   +1 more source

Evaluation of the Ocean Surface Wind Speed Change following the Super Typhoon from Space-Borne GNSS-Reflectometry

Remote Sensing, 2020
Ocean surface wind speed is an essential parameter for typhoon monitoring and forecasting. However, traditional satellite and buoy observations are difficult to monitor the typhoon due to high cost and low temporal-spatial resolution.
Hongsu Liu, Shuanggen Jin, Qingyun Yan
doaj   +1 more source

Enhancing Spatial Resolution of GNSS-R Soil Moisture Retrieval through XGBoost Algorithm-Based Downscaling Approach: A Case Study in the Southern United States

Remote Sensing, 2023
The retrieval of soil moisture (SM) using the Global Navigation Satellite System-Reflectometry (GNSS-R) technique has become a prominent topic in recent years.
Qidi Luo, Yueji Liang, Yue Guo, Xingyong Liang, Chao Ren, Weiting Yue, Binglin Zhu, Xueyu Jiang   +7 more
doaj   +1 more source

The Indian Ocean–Land–Atmosphere (IOLA)‐Coupled Mesoscale Prediction Framework for Inland Severe Weather and Coastal Hazards Forecasting

Meteorological Applications, Volume 33, Issue 1, January/February 2026.
For seamless prediction of severe weather across scales, we developed the Indian Ocean–Land–Atmosphere (IOLA) Coupled Regional Prediction System. Extensive testing demonstrates that IOLA significantly improves predictions, particularly for monsoon‐driven heavy rainfall and coastal hazards.
Sundararaman Gopalakrishnan, Krishna K. Osuri, Dev Niyogi, Sudheer Joseph, Shyama Mohanty, Yerni Srinivas Nekkali, Sasanka Talukdar, N. D. Manikanta, Imamah Ali, Ghassan Alaka, Ananda Das, Raghu Nadimpalli, Akhil Srivastava, Srinivas Kumar Tummala, T. M. Balakrishnan Nair, M. Mohapatra, V. S. Prasad, A. Suryachandra Rao, U. C. Mohanty, R. Krishnan, Frank Marks, M. Ravichandran   +21 more
wiley   +1 more source