High spatio-temporal resolution CYGNSS soil moisture estimates using artificial neural networks

O Eroglu, M Kurum, D Boyd, AC Gurbuz - Remote sensing, 2019 - mdpi.com
This paper presents a learning-based, physics-aware soil moisture (SM) retrieval algorithm
for NASA's Cyclone Global Navigation Satellite System (CYGNSS) mission. The goal of the …

Integration of high-throughput phenotyping, GWAS, and predictive models reveals the genetic architecture of plant height in maize

W Wang, W Guo, L Le, J Yu, Y Wu, D Li, Y Wang… - Molecular Plant, 2023 - cell.com
Plant height (PH) is an essential trait in maize (Zea mays) that is tightly associated with
planting density, biomass, lodging resistance, and grain yield in the field. Dissecting the …

A semiempirical modeling of soil moisture, vegetation, and surface roughness impact on CYGNSS reflectometry data

SH Yueh, R Shah, MJ Chaubell… - … on Geoscience and …, 2020 - ieeexplore.ieee.org
Data from the Cyclone Global Navigation Satellite System (CYGNSS) mission augmented
with a physical surface scattering model were analyzed to develop a semiempirical model …

Remote sensing of forest biomass using GNSS reflectometry

E Santi, S Paloscia, S Pettinato… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
In this study, the capability of Global Navigation Satellite System Reflectometry in evaluating
forest biomass from space has been investigated by using data coming from the …

Space-borne GNSS-R signal over a complex topography: Modeling and validation

L Dente, L Guerriero, D Comite… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
A significant quantity of space-borne Global Navigation Satellite Systems-Reflectometry
(GNSS-R) data over land was made available in the last decade, leading to an increasing …

A new algorithm for measuring vegetation growth using GNSS interferometric reflectometry

J Li, D Yang, F Wang, X Hong - IEEE journal of selected topics …, 2022 - ieeexplore.ieee.org
The use of global navigation satellite system interferometric reflectometry (GNSS-IR) to
measure vegetation growth status has become a rapidly growing technique in remote …

Airborne GNSS-R polarimetric multiincidence data analysis for surface soil moisture estimation over an agricultural site

M Zribi, V Dehaye, K Dassas, P Fanise… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
The objective of this study is to propose a mapping of surface soil moisture (SSM) using
airborne measurements based on the GLObal Navigation Satellite System Reflectometry …

Detecting fire disturbances in forests by using GNSS reflectometry and machine learning: A case study in Angola

E Santi, MP Clarizia, D Comite, L Dente… - Remote Sensing of …, 2022 - Elsevier
This paper aims at exploiting the potential of Global Navigation Satellite System
Reflectometry (GNSS-R) for the detection of forest disturbances due to fires. The study …

Feasibility of retrieving effective reflector height using GNSS-IR from a single-frequency android smartphone SNR data

C Altuntas, N Tunalioglu - Digital Signal Processing, 2021 - Elsevier
Abstract Global Navigation Satellite Systems (GNSS) have been routinely used for geodetic-
based survey and mapping studies such as precise point positioning, landslide, earthquake …

L-band radar experiment and modeling of a corn canopy over a full growing season

A Sharma, RH Lang, M Kurum… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Modeling L-band backscatter from a corn canopy continues to be a challenge due to the
complex dynamics in both plant phenology and the underlying soil. An experiment has been …