The International Soil Moisture Network: serving Earth system science for over a decade

W Dorigo, I Himmelbauer, D Aberer… - Hydrology and Earth …, 2021 - hess.copernicus.org
In 2009, the International Soil Moisture Network (ISMN) was initiated as a community effort,
funded by the European Space Agency, to serve as a centralised data hosting facility for …

Markov decision processes with applications in wireless sensor networks: A survey

MA Alsheikh, DT Hoang, D Niyato… - … Surveys & Tutorials, 2015 - ieeexplore.ieee.org
Wireless sensor networks (WSNs) consist of autonomous and resource-limited devices. The
devices cooperate to monitor one or more physical phenomena within an area of interest …

Land-cover mapping by Markov modeling of spatial–contextual information in very-high-resolution remote sensing images

G Moser, SB Serpico… - Proceedings of the …, 2012 - ieeexplore.ieee.org
Markov models represent a wide and general family of stochastic models for the temporal
and spatial dependence properties associated to 1-D and multidimensional random …

Protocol-based variance-constrained distributed secure filtering with measurement censoring

X Meng, Y Chen, L Ma, H Liu - International Journal of Systems …, 2022 - Taylor & Francis
In this article, the variance-constrained distributed secure filtering issue based on
communication protocol is investigated for time-varying stochastic systems with …

A wireless soil moisture smart sensor web using physics-based optimal control: Concept and initial demonstrations

M Moghaddam, D Entekhabi… - IEEE Journal of …, 2010 - ieeexplore.ieee.org
This paper introduces a new concept for a smart wireless sensor web technology for optimal
measurements of surface-to-depth profiles of soil moisture using in-situ sensors. The …

In-situ soil moisture sensing: measurement scheduling and estimation using compressive sensing

X Wu, M Liu - Proceedings of the 11th international conference on …, 2012 - dl.acm.org
We consider the problem of monitoring soil moisture evolution using a wireless network of in-
situ underground sensors. To reduce cost and prolong lifetime, it is highly desirable to rely …

Optimal scheduling of multiple sensors over lossy and bandwidth limited channels

S Wu, K Ding, P Cheng, L Shi - IEEE Transactions on Control of …, 2020 - ieeexplore.ieee.org
This article considers the sensor scheduling for multiple dynamic processes. We consider n
linear dynamic processes. The state of each process is measured by a sensor, which …

Learning optimal scheduling policy for remote state estimation under uncertain channel condition

S Wu, X Ren, QS Jia, KH Johansson… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
We consider optimal sensor scheduling with unknown communication channel statistics. We
formulate two types of scheduling problems with the communication rate being a soft or hard …

Optimal communication scheduling and remote estimation over an additive noise channel

X Gao, E Akyol, T Başar - Automatica, 2018 - Elsevier
This paper considers a sequential sensor scheduling and remote estimation problem with
one sensor and one estimator. The sensor makes sequential observations about the state of …

Comprehensive Analysis of CYGNSS GNSS-R data for Enhanced Soil Moisture Retrieval

PT Setti, S Tabibi - IEEE Journal of Selected Topics in Applied …, 2024 - ieeexplore.ieee.org
Soil moisture, an essential climate variable, is traditionally retrieved on large scales using
passive or active microwave sensors, with temporal resolution of 2–3 days and no less than …