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Terrestrial Vegetation of California, 3rd Edition$
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Michael Barbour

Print publication date: 2007

Print ISBN-13: 9780520249554

Published to California Scholarship Online: March 2012

DOI: 10.1525/california/9780520249554.001.0001

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PRINTED FROM CALIFORNIA SCHOLARSHIP ONLINE (www.california.universitypressscholarship.com). (c) Copyright University of California Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in CALSO for personal use.date: 21 September 2021

The History of Vegetation Classification and Mapping in California

The History of Vegetation Classification and Mapping in California

Chapter:
(p.xviii) (p.1) ONE The History of Vegetation Classification and Mapping in California
Source:
Terrestrial Vegetation of California, 3rd Edition
Author(s):

Todd Keeler-Wolf

Publisher:
University of California Press
DOI:10.1525/california/9780520249554.003.0001

This chapter discusses the history and development of mapping and classification of vegetation, first describing early mapping efforts of California's vegetation in the late 1800s and in the early 1900s. It then describes the advances in mapping and classification of vegetation that took place in California. For vegetation mapping, these include the use of satellite-based remote sensing techniques by the U.S. Forest Service Remote Sensing Lab in Sacramento and the development of detailed maps based on the interplay of Geographic Information Systems (GIS) analysis, air-photo interpretation, and extensive field checking. The Manual of California Vegetation (MCV) heralded an increased focus on quantitative descriptive techniques, which led to the current standardized state, national, and international vegetation classification systems. Today, field-based vegetation sampling and the classification scheme is integrated with a detailed GIS-based map of the vegetation using the new standards for quantification of vegetation set forth in the MCV and the National Vegetation Classification system.

Keywords:   vegetation mapping, Remote Sensing Lab, Geographic Information Systems, MCV, vegetation classification, vegetation sampling, National Vegetation Classification

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