Soil Organic Matter Prediction Model with Satellite Hyperspectral Image Based on Optimized Denoising Method

Soil Organic Matter Prediction Model with Satellite Hyperspectral Image Based on Optimized Denoising Method

In order to improve the signal-to-noise ratio of the hyperspectral sensors and exploit the potential of satellite hyperspectral data for predicting soil properties, we took MingShui County as the study area, which the study area is approximately 1481 km<sup>2</sup>, and we selected Gaofe...

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Bibliographic Details
Main Authors:	Xiangtian Meng, Yilin Bao, Qiang Ye, Huanjun Liu, Xinle Zhang, Haitao Tang, Xiaohan Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2021-06-01
Series:	Remote Sensing
Subjects:	satellite hyperspectral data denoising method soil organic matter spectral index digital soil mapping
Online Access:	https://www.mdpi.com/2072-4292/13/12/2273

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