Performance of multi-source remote sensing soil moisture products over Punjab Pakistan during 2022–2023
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00704-024-05082-7.pdf
Reference69 articles.
1. Ahmad K, Banerjee A, Rashid W, Xia Z, Karim S, Asif M (2022) Assessment of Long-Term Rainfall Variability and trends using observed and Satellite Data in Central Punjab, Pakistan. Atmosphere 14(1):60. https://doi.org/10.3390/atmos14010060
2. Ahmed J, Shah M, Iqbal T, Shah MA, Amin A (2024) Study of the ionospheric precursors associated with M w ≥ 6.0EQ from Ionosonde Stations and GIM TEC. J Atmos Solar Terr Phys 256:106205
3. Al-Khaldi MM, Johnson JT, O’Brien AJ, Balenzano A, Mattia F (2019) Time-Series Retrieval of Soil Moisture using CYGNSS. IEEE Trans Geosci Remote Sens 57(7):4322–4331. https://doi.org/10.1109/TGRS.2018.2890646
4. Amin M, Khan MR, Hassan SS, Imran M, Hanif M, Baig IA (2023) Determining satellite-based evapotranspiration product and identifying relationship with other observed data in Punjab, Pakistan. Environ Dev Sustain 25(1):23–39. https://doi.org/10.1007/s10668-021-02036-1
5. Ayres E, Colliander A, Cosh MH, Roberti JA, Simkin S, Genazzio MA (2021) Validation of SMAP Soil Moisture at Terrestrial National Ecological Observatory Network (NEON) sites Show potential for Soil Moisture Retrieval in Forested Areas. IEEE J Sel Top Appl Earth Observations Remote Sens 14:10903–10918. https://doi.org/10.1109/JSTARS.2021.3121206
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