PCA-based supervised identification of biological soil crusts in multispectral images-Reference-Cited by-同舟云学术

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PCA-based supervised identification of biological soil crusts in multispectral images

Published:2019 Issue: Volume:6 Page:764-772
ISSN:2215-0161
Container-title:MethodsX
language:en
Short-container-title:MethodsX

Author:

Fischer Thomas^ORCID

Funder

Deutsche Forschungsgemeinschaft

COST action CA16101 “MULTI-modal Imaging of FOREnsic SciEnce Evidence (MULTI-FORESEE)”

Publisher

Elsevier BV

Subject

Medical Laboratory Technology,Clinical Biochemistry

Reference12 articles.

1. The effect of microphytes on the spectral reflectance of vegetation in semiarid regions;Karnieli;Remote Sens. Environ.,1996

2. Spectral characteristics of cyanobacteria soil crust in semiarid environments;Karnieli;Remote Sens. Environ.,1999

3. Remote sensing of biological soil crusts at different scales;Weber,2016

4. Development and implementation of spectral crust index over dune sands;Karnieli;Int. J. Remote Sens.,1997

5. Applying a field spectroscopy technique for assessing successional trends of biological soil crusts in a semi-arid environment;Zaady;J. Arid Environ.,2007

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