A STUDY ON PRODUCING HIGHLY RELIABILE REFERENCE DATA SETS FOR GLOBAL LAND COVER VALIDATION
Validating the accuracy of land cover products using a reliable reference dataset is an important task. A reliable reference dataset is produced with information derived from ground truth data. Recently, the amount of ground truth data derived from information collected by volunteers has been incr...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2016-06-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/1207/2016/isprs-archives-XLI-B8-1207-2016.pdf |
| Summary: | Validating the accuracy of land cover products using a reliable reference dataset is an important task. A reliable reference dataset is
produced with information derived from ground truth data. Recently, the amount of ground truth data derived from information
collected by volunteers has been increasing globally. The acquisition of volunteer-based reference data demonstrates great potential.
However information given by volunteers is limited useful vegetation information to produce a complete reference dataset based on
the plant functional type (PFT) with five specialized forest classes. In this study, we examined the availability and applicability of
FLUXNET information to produce reference data with higher levels of reliability. FLUXNET information was useful especially for
forest classes for interpretation in comparison with the reference dataset using information given by volunteers. |
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| ISSN: | 1682-1750 2194-9034 |