Abstract
Abstract. 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.
Highlights
The Global Change Observation Mission-Climate (GCOM-C1) is progressing along with the Japan Aerospace Exploration Agency (JAXA)’s activities, and the second-generation global imager (SGLI) on GCOM-C will be launched in 2016 fiscal year
Global land cover products have been planned to be produced by the International Geosphere-Biosphere Programme (IGBP) class scheme (Loveland, 1997) with the SGLI 250m spatial resolution data to derive gross primary production (GPP) estimations
GPP estimation studies require highly accurate land cover products whose class scheme is based on the plant functional type (PFT) since the estimating error of GPP products is dependent on the accuracy of land cover products
Summary
The Global Change Observation Mission-Climate (GCOM-C1) is progressing along with the Japan Aerospace Exploration Agency (JAXA)’s activities, and the second-generation global imager (SGLI) on GCOM-C will be launched in 2016 fiscal year. Land cover information collected by volunteer such as that obtained in the Degree Confluence Project (DCP) was used to validate land cover products (Foody, 2013 and Iwao, 2006). They use land cover information as ground truth information for producing reliable reference data. In our previous study (Soyama, 2015), a method was developed to produce high-quality reference data, using the information from DCP to validate global land cover products based on the IGBP land cover class scheme in 500m spatial resolution. A discussion about the use of FLUXNET information to validate global land cover products is presented
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