On Predictability of Groundwater Level in Shallow Wells Using Satellite Observations
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
http://link.springer.com/article/10.1007/s11269-017-1865-5/fulltext.html
Reference55 articles.
1. Ahmad S, Kalra A, Stephen H (2010) Estimating soil moisture using remote sensing data: a machine learning approach. Adv Water Resour 33(1):69–80. https://doi.org/10.1016/j.advwatres.2009.10.008
2. Awange JL, Gebremichael M, Forootan E, Wakbulcho G, Anyah R, Ferreira VG, Alemayehu T (2014) Characterization of Ethiopian mega hydrogeological regimes using GRACE, TRMM and GLDAS datasets. Adv Water Resour 74:64–78. https://doi.org/10.1016/j.advwatres.2014.07.012
3. Basak D, Pal S, Patranabis DC (2007) Support vector regression. Neural Inf Proces Lett Rev 11(10):203–224
4. Bell B, Wallace B, Zhang D (2012) Forecasting river runoff through support vector machines. In Sugawara K, Wang Y, Hattori F, Nishida T, Fujita S, Kinsner W, Zadeh LA (eds) Proc. 11th IEEE Int. Conf. on Cognitive Informatics Cognitive Computing (ICCI*CC’12). IEEE, pp 58–64
5. Bertoldi G, Della Chiesa S, Notarnicola C, Pasolli L, Niedrist G, Tappeiner U (2014) Estimation of soil moisture patterns in mountain grasslands by means of SAR RADARSAT2 images and hydrological modeling. J Hydrol 516:245–257. https://doi.org/10.1016/j.jhydrol.2014.02.018
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