Utilization of Google Earth Engine for Assessment of Daily and Seasonal Variations of TRMM3B43-v7, GPM-v6 and PERSIANN-CDR Data Over the Coastline of Pahang State, Malaysia
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development
Link
https://link.springer.com/content/pdf/10.1007/s12524-022-01657-x.pdf
Reference61 articles.
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2. Akbari, A., Daryabor, F., Samah, A. A., & Fanodi, M. (2017). Validation of TRMM 3B42 V6 for estimation of mean annual rainfall over ungauged area in semiarid climate. Environmental Earth Sciences, 76, 537. https://doi.org/10.1007/s12665-017-6867-3.
3. Akbari, A., Othman, F., & Samah, A. A. (2011). Probing on suitability of TRMM data to explain spatio-temporal pattern of severe storms in tropic region. Hydrology & Earth System Sciences Discussions, 8, 9435–9468. https://doi.org/10.5194/hessd-8-9435-2011.
4. As-Syakur, A. R., Tanaka, T., Prasetia, R., Swardika, I., & Kasa, I. (2011). Comparison of TRMM multisatellite precipitation analysis (TMPA) products and daily-monthly gauge data over Bali. International Journal of Remote Sensing, 32, 8969–8982. https://doi.org/10.1080/01431161.2010.531784.
5. Banerjee, A., Chen, R., Meadows, M. E., Singh, R., Mal, S., & Sengupta, D. (2020). An analysis of long-term rainfall trends and variability in the Uttarakhand Himalaya using google earth engine. Remote Sensing, 12, 709. https://doi.org/10.3390/rs12040709.
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