Machine learning algorithms for soil moisture estimation using Sentinel-1: Model development and implementation

Soil Moisture Retrieval in Farmland Areas with Sentinel Multi-Source Data Based on Regression Convolutional Neural Networks

(2021) Jian Liu et al.   SENSORS

A Machine Learning-Based Approach for Surface Soil Moisture Estimations with Google Earth Engine

(2021) Felix Greifeneder et al.   Remote Sensing

Appraisal of SMAP Operational Soil Moisture Product from a Global Perspective

(2020) Swati Suman et al.   Remote Sensing

Potential of Sentinel-1 Surface Soil Moisture Product for Detecting Heavy Rainfall in the South of France

(2019) Hassan Bazzi et al.   SENSORS

Evaluation of modified Dubois model for estimating surface soil moisture using dual polarization RISAT-1 C-band SAR data

(2019) Rucha Dave et al.   Geocarto International

Comprehensive evaluation of soil moisture retrieval models under different crop cover types using C-band synthetic aperture radar data

(2018) P. Kumar et al.   Geocarto International

Satellite Soil Moisture: Review of Theory and Applications in Water Resources

(2017) Prashant K. Srivastava   WATER RESOURCES MANAGEMENT

Estimation of winter wheat crop growth parameters using time series Sentinel-1A SAR data

(2017) P. Kumar et al.   Geocarto International

Crop Monitoring Based on SPOT-5 Take-5 and Sentinel-1A Data for the Estimation of Crop Water Requirements

(2016) Ana Navarro et al.   Remote Sensing

Evaluation of Dielectric Mixing Models for Passive Microwave Soil Moisture Retrieval Using Data From ComRAD Ground-Based SMAP Simulator

(2015) Prashant K. Srivastava et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Evaluation of the Soil Moisture Operational Estimates From SMOS in Europe: Results Over Diverse Ecosystems

(2015) George P. Petropoulos et al.   IEEE SENSORS JOURNAL

frbs: Fuzzy Rule-Based Systems for Classification and Regression inR

(2015) Lala Septem Riza et al.   Journal of Statistical Software

Neural Networks inRUsing the Stuttgart Neural Network Simulator:RSNNS

(2015) Christoph Bergmeir et al.   Journal of Statistical Software

Assessment of SMOS soil moisture retrieval parameters using tau–omega algorithms for soil moisture deficit estimation

(2014) Prashant K. Srivastava et al.   JOURNAL OF HYDROLOGY

Soil moisture mapping using Sentinel-1 images: Algorithm and preliminary validation

(2013) S. Paloscia et al.   REMOTE SENSING OF ENVIRONMENT

Machine Learning Techniques for Downscaling SMOS Satellite Soil Moisture Using MODIS Land Surface Temperature for Hydrological Application

(2013) Prashant K. Srivastava et al.   WATER RESOURCES MANAGEMENT

Use of Soil Moisture Variability in Artificial Neural Network Retrieval of Soil Moisture

(2010) Soo-See Chai et al.   Remote Sensing

Soil moisture retrieval from remotely sensed data: Neural network approach versus Bayesian method

(2008) Claudia Notarnicola et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING