The observation capability reason of optical satellite sensor for soil moisture monitoring

2014 ◽  
Author(s):  
Xiaolei Wang ◽  
Nengcheng Chen ◽  
Xunliang Yang ◽  
Zeqiang Chen
Keyword(s):  
Soil Moisture ◽  
Satellite Sensor ◽  
Soil Moisture Monitoring

IoT Soil Moisture Monitoring and Irrigation System Development

2020 ◽  
Author(s):  
Kim-Mey Chew ◽  
Syvester Chiang-Wei Tan ◽  
Gary Chee-Wyai Loh ◽  
Nancy Bundan ◽  
Siew-Ping Yiiong
Keyword(s):  
Soil Moisture ◽  
System Development ◽  
Irrigation System ◽  
Soil Moisture Monitoring

scholarly journals State of the Art in Large-Scale Soil Moisture Monitoring

2013 ◽  
Vol 77 (6) ◽  
pp. 1888-1919 ◽  
Author(s):  
Tyson E. Ochsner ◽  
Michael H. Cosh ◽  
Richard H. Cuenca ◽  
Wouter A. Dorigo ◽  
Clara S. Draper ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Large Scale ◽  
State Of The Art ◽  
Soil Moisture Monitoring

scholarly journals The Murrumbidgee soil moisture monitoring network data set

2012 ◽  
Vol 48 (7) ◽  
Author(s):  
A. B. Smith ◽  
J. P. Walker ◽  
A. W. Western ◽  
R. I. Young ◽  
K. M. Ellett ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Monitoring Network ◽  
Network Data ◽  
Data Set ◽  
Soil Moisture Monitoring

Positionally-independent and Extended Read Range Resonant Sensors Applied to Deep Soil Moisture Monitoring

2021 ◽  
pp. 113227
Author(s):  
Yee Jher Chan ◽  
Adam R. Carr ◽  
Subhanwit Roy ◽  
Caden M. Washburn ◽  
Nathan Neihart ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Deep Soil ◽  
Resonant Sensors ◽  
Read Range ◽  
Soil Moisture Monitoring

scholarly journals Characterizing Soil Physical Properties for Soil Moisture Monitoring with the North Carolina Environment and Climate Observing Network

2012 ◽  
Vol 29 (7) ◽  
pp. 933-943 ◽  
Author(s):  
Weinan Pan ◽  
R. P. Boyles ◽  
J. G. White ◽  
J. L. Heitman
Keyword(s):  
North Carolina ◽  
Soil Moisture ◽  
Physical Properties ◽  
Soil Properties ◽  
Water Content ◽  
Bulk Density ◽  
Soil Physical Properties ◽  
The North ◽  
Wide Range ◽  
Soil Moisture Monitoring

Abstract Soil moisture has important implications for meteorology, climatology, hydrology, and agriculture. This has led to growing interest in development of in situ soil moisture monitoring networks. Measurement interpretation is severely limited without soil property data. In North Carolina, soil moisture has been monitored since 1999 as a routine parameter in the statewide Environment and Climate Observing Network (ECONet), but with little soils information available for ECONet sites. The objective of this paper is to provide soils data for ECONet development. The authors studied soil physical properties at 27 ECONet sites and generated a database with 13 soil physical parameters, including sand, silt, and clay contents; bulk density; total porosity; saturated hydraulic conductivity; air-dried water content; and water retention at six pressures. Soil properties were highly variable among individual ECONet sites [coefficients of variation (CVs) ranging from 12% to 80%]. This wide range of properties suggests very different behavior among sites with respect to soil moisture. A principal component analysis indicated parameter groupings associated primarily with soil texture, bulk density, and air-dried water content accounted for 80% of the total variance in the dataset. These results suggested that a few specific soil properties could be measured to provide an understanding of differences in sites with respect to major soil properties. The authors also illustrate how the measured soil properties have been used to develop new soil moisture products and data screening for the North Carolina ECONet. The methods, analysis, and results presented here have applications to North Carolina and for other regions with heterogeneous soils where soil moisture monitoring is valuable.

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