Quantification of Soil Properties with Hyperspectral Data: Selecting Spectral Variables with Different Methods to Improve Accuracies and Analyze Prediction Mechanisms-Reference-Cited by-同舟云学术

Quantification of Soil Properties with Hyperspectral Data: Selecting Spectral Variables with Different Methods to Improve Accuracies and Analyze Prediction Mechanisms

Published:2017-10-29 Issue:11 Volume:9 Page:1103
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Vohland Michael,Ludwig Marie,Thiele-Bruhn Sören^ORCID,Ludwig Bernard

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Link

http://www.mdpi.com/2072-4292/9/11/1103/pdf

Reference71 articles.

1. Assessment and monitoring of soil quality using near-infrared reflectance spectroscopy (NIRS)

2. Use of hyperspectral images in the identification and mapping of expansive clay soils and the role of spatial resolution

3. Prediction of soil properties using imaging spectroscopy: Considering fractional vegetation cover to improve accuracy;Franceschini;Int. J. Appl. Earth Obs.,2015

4. Organic substrate, clay type, texture, and water influence on NIR carbon measurements

5. Regional predictions of eight common soil properties and their spatial structures from hyperspectral Vis–NIR data

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