A Simulation Study of Volumetric Soil Moisture Evaluation Using NavIC–IR
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12524-024-01965-4.pdf
Reference37 articles.
1. Ahmad, U., Alvino, A., & Marino, S. (2021). A review of crop water stress assessment using remote sensing. Remote Sensing, 13(20), 4155. https://doi.org/10.3390/rs13204155
2. Arsoy, S., Ozgur, M., Keskin, E., & Yilmaz, C. (2013). Usability of calcium carbide gas pressure method in hydrological sciences. Journal of Hydrology, 503, 67–76. https://doi.org/10.1016/j.jhydrol.2013.08.044
3. Chamoli. V, Prakash. R, Vidyarthi. A. & Ray. A. (2017). Sensitivity of NavIC signal for soil moisture variation. In: International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT), Dehradun, India, pp. 1–4, https://doi.org/10.1109/ICETCCT.2017.8280318.
4. Chamoli, V., Prakash, R., Vidyarthi, A., & Ray, A. (2020). Analysis of NavIC multipath signal sensitivity for soil moisture in presence of vegetation. Advances in Intelligent Systems and Computing, 1166, 353–364, Singapore: Springer
5. Chamoli, V., Prakash, R., Vidyarthi, A., & Ray, A. (2020b). Capability of NavIC, an Indian GNSS constellation, for retrieval of surface soil moisture. Progress in Electromagnetics Research C, 106, 255–270. https://doi.org/10.2528/pierc20090904
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