Comparing the Performance of Neural Network and Deep Convolutional Neural Network in Estimating Soil Moisture from Satellite Observations

Comparing the Performance of Neural Network and Deep Convolutional Neural Network in Estimating Soil Moisture from Satellite Observations

Soil moisture (SM) plays an important role in hydrological cycle and weather forecasting. Satellite provides the only viable approach to regularly observe large-scale SM dynamics. Conventionally, SM is estimated from satellite observations based on the radiative transfer theory. Recent studies have...

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Bibliographic Details
Main Authors:	Lingling Ge, Renlong Hang, Yi Liu, Qingshan Liu
Format:	Article
Language:	English
Published:	MDPI AG 2018-08-01
Series:	Remote Sensing
Subjects:	soli moisture retrieval neural network deep convolutional neural network
Online Access:	http://www.mdpi.com/2072-4292/10/9/1327

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