A double-sampling approach to deriving training and validation data for remotely-sensed vegetation products-Reference-Cited by-同舟云学术

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A double-sampling approach to deriving training and validation data for remotely-sensed vegetation products

Published:2014-02-25 Issue:5 Volume:35 Page:1936-1955
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Karl Jason W.¹,Taylor Jason²,Bobo Matt³

Affiliation:

1. Research Ecologist, Jornada Experimental Range, USDA Agricultural Research Service, Las Cruces, NM, USA

2. Landscape Ecologist, National Operations Center, Bureau of Land Management, Denver, CO, USA

3. Remote Sensing Coordinator, National Operations Center, Bureau of Land Management, Denver, CO, USA

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2014.880820

Reference76 articles.

1. Comparison of Techniques Used for Adjusting Biomass Estimates by Double Sampling

2. An assessment of the accuracy and consistency of human perception of weed cover

3. In the eye of the beholder: bias and stochastic variation in cover estimates

4. STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT

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