Prediction of soil moisture content using genetic algorithm-optimized backpropagation algorithm from spectral data
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11368-024-03868-w.pdf
Reference29 articles.
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2. Ainiwaer M, Ding JL, Kasim N, Wang JZ, Wang JJ (2019) Regional scale soil moisture content estimation based on multi-source remote sensing parameters. Int J Remote Sens 41(9):3346–3367. https://doi.org/10.1080/01431161.2019.1701723
3. Amani M, Parsian S, MirMazloumi SM, Aieneh O (2016) Two new soil moisture indices based on the NIR-red triangle space of Landsat-8 data. Int J Appl Earth Obs 50:176–186. https://doi.org/10.1016/j.jag.2016.03.018
4. Bittelli M (2011) Measuring soil water content: a review. Horttechnology 21(3):293–300. https://doi.org/10.21273/HORTTECH.21.3.293
5. Chen YC, Yeh HC, Gui MW, Wei CA, He CH (2021) Estimation of surface soil moisture content using fractals. Environ Monit Assess 193(2):91. https://doi.org/10.1007/s10661-021-08879-5
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