학술논문

Development of Soil Moisture Inversion Model for Bare Soil Using Navigation With Indian Constellation (NavIC)
Document Type
Periodical
Source
IEEE Geoscience and Remote Sensing Letters IEEE Geosci. Remote Sensing Lett. Geoscience and Remote Sensing Letters, IEEE. 19:1-5 2022
Subject
Geoscience
Power, Energy and Industry Applications
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Signal Processing and Analysis
Soil moisture
Satellites
Moisture
Global Positioning System
Dielectrics
Global navigation satellite system
Delays
C%2FN<%2Fitalic>ₒ%29%22">Carrier to noise ratio (C/Nₒ)
global navigation satellite system (GNSS)
GPS
inversion model
multipath signal
multipath signal phase
navigation with Indian constellation (NavIC)
path difference
penetration depth
volumetric moisture content (VMC)
Language
ISSN
1545-598X
1558-0571
Abstract
This letter aims to develop an inversion model to estimate soil moisture using Navigation with Indian Constellation (NavIC) L-band signal. Several research works suggest that microwave signal property gets affected after reflecting from the soil surface. The nature of the reflected microwave signal depends on the signal’s penetration depth, which is the factor of water content present in the soil surface. NavIC multipath signal can be used for the estimation of soil moisture using this property. The carrier to noise ratio $(C/N_{\mathrm {o}})$ of NavIC signal is used for this purpose. The model proposed in the letter is based on the relationship of estimated multipath phase value with the volumetric moisture content present in the soil surface. The output of the developed model is highly encouraging. A linear relation relationship with a high correlation coefficient value of 0.902 and root mean square error (RMSE) of 4.03% is obtained between ground truth soil moisture and retrieved soil moisture from developed algorithm.