ESTIMATING SOIL MOISTURE USING POLSAR DATA: A MACHINE LEARNING APPROACH

5 citations as recorded by crossref.

1. Estimate soil moisture of maize by combining support vector machine and chaotic whale optimization algorithm B. He et al. 10.1016/j.agwat.2022.107618
2. Polarimetric Imaging via Deep Learning: A Review X. Li et al. 10.3390/rs15061540
3. Soil Moisture Linear Modeling by Using Decomposition and Selection of Fully Polarized SAR Features E. Khedri & M. Hasanlou 10.29252/jgit.6.3.59
4. Soil Moisture Prediction Using Remote Sensing and Machine Learning Algorithms: A Review on Progress, Challenges, and Opportunities M. Lamichhane et al. 10.3390/rs17142397
5. Soil moisture simulation of rice using optimized Support Vector Machine for sustainable agricultural applications P. Majumdar et al. 10.1016/j.suscom.2023.100924