Results 1 to 10 of about 293 (108)
Daily Spatial Complete Soil Moisture Mapping Over Southeast China Using CYGNSS and MODIS Data [PDF]
Frontiers in Big Data, 2022 Daily spatial complete soil moisture (SM) mapping is important for climatic, hydrological, and agricultural applications. The Cyclone Global Navigation Satellite System (CYGNSS) is the first constellation that utilizes the L band signal transmitted by ...
Ting Yang +7 more
doaj +2 more sources
The CYGNSS Mission: On-Going Science Team Investigations
Remote Sensing, 2021 In 2012, the National Aeronautics and Space Administration (NASA) selected the CYclone Global Navigation Satellite System (CYGNSS) mission coordinated by the University of Michigan (UM) as a low-cost and high-science Earth Venture Mission.
Hugo Carreno-Luengo +2 more
exaly +3 more sources
Investigation of the Occurrence of Nighttime Topside Ionospheric Irregularities in Low-Latitude and Equatorial Regions Using CYGNSS Satellites [PDF]
Sensors, 2020 By using multi-satellite observations of the L1 signal-to-noise ratio (SNR) from the Cyclone Global Navigation Satellite System (CYGNSS) taken in 2017, we present the occurrence of nighttime topside ionospheric irregularities in low-latitude and ...
Liang Huang +5 more
doaj +2 more sources
Remote Sensing, 2022 NASA’s Soil Moisture Active Passive (SMAP) mission only retrieved ~2.5 months of 3 km near surface soil moisture (NSSM) before its radar transmitter malfunctioned. NSSM remains an important area of study, and multiple applications would benefit from 3 km
Liza J Wernicke +2 more
exaly +3 more sources
Geophysical Research Letters, 2018 Using the first full annual cycle of Cyclone Global Navigation Satellite System (CyGNSS) observations, we investigated the limitations and capabilities of CyGNSS observations for soil moisture (SM) estimates (0–5 cm).
Hyunglok Kim, Venkat Lakshmi
exaly +2 more sources
A Study on Assimilation of CYGNSS Wind Speed Data for Tropical Convection during 2018 January MJO
Remote Sensing, 2020 The National Aeronautics and Space Administration (NASA) Cyclone Global Navigation Satellite System (CYGNSS) mission was launched in December 2016.
Xuanli Li +2 more
exaly +3 more sources
GIScience and Remote SensingThe 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, Shuanggen Jin, Qingyun Yan
exaly +3 more sources
Desert Roughness Retrieval Using CYGNSS GNSS-R Data
Remote Sensing, 2020 The aim of this paper is to assess the potential use of data recorded by the Global Navigation Satellite System Reflectometry (GNSS-R) Cyclone Global Navigation Satellite System (CYGNSS) constellation to characterize desert surface roughness.
Donato Stilla +2 more
exaly +3 more sources
High Spatio-Temporal Resolution CYGNSS Soil Moisture Estimates Using Artificial Neural Networks
Remote Sensing, 2019 This paper presents a learning-based, physics-aware soil moisture (SM) retrieval algorithm for NASA’s Cyclone Global Navigation Satellite System (CYGNSS) mission.
Orhan Eroglu +2 more
exaly +3 more sources
Spatially Interpolated CYGNSS Data Improve Downscaled 3 km SMAP/CYGNSS Soil Moisture
Remote SensingSoil 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 +2 more
exaly +3 more sources