Exploiting the ANN Potential in Estimating Snow Depth and Snow Water Equivalent From the Airborne SnowSAR Data at X- and Ku-Bands

Author:

Santi EmanueleORCID,Brogioni MarcoORCID,Leduc-Leballeur MarionORCID,Macelloni GiovanniORCID,Montomoli FrancescoORCID,Pampaloni PaoloORCID,Lemmetyinen JuhaORCID,Cohen JuvalORCID,Rott Helmut,Nagler Thomas,Derksen ChrisORCID,King JoshuaORCID,Rutter NickORCID,Essery RichardORCID,Menard CecileORCID,Sandells Melody,Kern Michael

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. MF-ANN: A Novel Artificial Neural Network-Based Method for Ocean Wind Speed Retrieval on Spaceborne GNSS-R Signal;IEEE Transactions on Geoscience and Remote Sensing;2023

2. Using Artificial Neural Networks to Couple Satellite C-Band Synthetic Aperture Radar Interferometry and Alpine3D Numerical Model for the Estimation of Snow Cover Extent, Height, and Density;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023

3. AI based Technologies for International Space Station and Space Data;2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART);2022-12-16

4. Snow Depth Inversion in Forest Areas from Sentinel-1 Data Based on Phase Deviation Correction;Remote Sensing;2022-11-23

5. Multi-indicator Water Quality Prediction with ProbSparse Self-attention and Generative Decoder;2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2022-10-09

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