Development of Soil Moisture Inversion Model for Bare Soil Using Navigation With Indian Constellation (NavIC)

Shekhar, Sushant; Prakash, Rishi; Pandey, Dharmendra Kumar; Vidyarthi, Anurag; Tyagi, Shivani; Putrevu, Deepak; Misra, Arundhati

doi:10.1109/lgrs.2021.3090568

Cited by 13 publications

(2 citation statements)

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“…4, which are elevation angle range selection, filtering, and detrending, before the estimation of multipath observables, i.e., multipath amplitude, multipath phase, and multipath frequency. The useful range of elevation angles for soil moisture studies with NavIC-IR technique is 15 • to 30 • [13,18]. Therefore, elevation angle range selection is required to obtain the appropriate elevation angle range from the available elevation angle range that is 13.6 • to 58 • .…”

Section: Navic Signal Preprocessingmentioning

confidence: 99%

“…Multipath phase is the most utilized multipath observable in soil moisture studies with GNSS over bare as well as vegetated soil. The change in multipath phase with soil moisture is related to the change in penetration depth of the signal which changes the path difference between the direct and reflected signals [1,6,18]. It has been observed that multipath phase is less affected by the presence of vegetation if it is sparse vegetation.…”

Section: Introductionmentioning

confidence: 99%

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Comparative Analysis of NavIC Multipath Observables for Soil Moisture over Different Field Conditions

Shekhar¹,

Prakash²,

Pandey³

et al. 2023

PIER M

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Studies of soil moisture with Global Navigation Satellite System (GNSS) have gained the attention of several researchers. Multipath amplitude, multipath phase, and multipath frequency are multipath observables that are utilized in the study of soil moisture. However, an inter-comparison of the performance of these parameters for soil moisture under different roughness and vegetation conditions is very much required to have a better insight so that more robust inversion algorithm for soil moisture retrieval with multipath observables can be designed. Therefore, this paper analyses the performance of these multipath observables for soil moisture over bare smooth soil, rough surface, and vegetated soil. Two different fields have been investigated to include the location variability. Navigation with Indian constellation (NavIC) multipath signal has been used in this study. Statistical parameters such as correlation coefficient (R), Root Mean Square Error (RMSE), and sensitivity have been determined to study the performance of multipath observable for soil moisture under different surface roughness and vegetation conditions.

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Section: Navic Signal Preprocessingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%