DEVELOPING A MACHINE LEARNING FRAMEWORK FOR ESTIMATING SOIL MOISTURE WITH VNIR HYPERSPECTRAL DATA

DEVELOPING A MACHINE LEARNING FRAMEWORK FOR ESTIMATING SOIL MOISTURE WITH VNIR HYPERSPECTRAL DATA

In this paper, we investigate the potential of estimating the soil-moisture content based on VNIR hyperspectral data combined with LWIR data. Measurements from a multi-sensor field campaign represent the benchmark dataset which contains measured hyperspectral, LWIR, and soil-moisture data conducted...

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Bibliographic Details
Main Authors:	S. Keller, F. M. Riese, J. Stötzer, P. M. Maier, S. Hinz
Format:	Article
Language:	English
Published:	Copernicus Publications 2018-09-01
Series:	ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:	https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-1/101/2018/isprs-annals-IV-1-101-2018.pdf

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