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Published November 25, 2019 | Version v1
Dataset Open

A Dataset of Global Land Cover Validation Samples

  • 1. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences

Description

A dataset of global land cover validation samples in 2015. In order to guarantee the confidence and objective of the validation samples, several existing reference datasets such as GLCNMO2008 training dataset, VIIRS reference dataset, STEP reference dataset, Global cropland reference data and so on, high resolution imagery in the Google earth and time-series NDVI,NDSI values of each related point are integrated to derive the global validation datasets. The dataset is provided in .shp format.

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Additional details

References

  • Gong, P. et al. Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data. International Journal of Remote Sensing 34, 2607-2654, doi:10.1080/01431161.2012.748992 (2013).
  • Olofsson, P. et al. A global land-cover validation data set, part I: fundamental design principles. International Journal of Remote Sensing 33, 5768-5788, doi:10.1080/01431161.2012.674230 (2012).
  • Tateishi, R. et al. Production of global land cover data – GLCNMO. International Journal of Digital Earth 4, 22-49, doi:10.1080/17538941003777521 (2011).
  • Tateishi, R. et al. Production of global land cover data-GLCNMO2008. J. Geogr. Geol. 6, 99-123 (2014).
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  • Xiong, J. et al. Automated cropland mapping of continental Africa using Google Earth Engine cloud computing. ISPRS Journal of Photogrammetry and Remote Sensing 126, 225-244, doi:https://doi.org/10.1016/j.isprsjprs.2017.01.019 (2017).
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  • Tootchi, A., Jost, A. & Ducharne, A. Multi-source global wetland maps combining surface water imagery and groundwater constraints. Earth Syst. Sci. Data 11, 189-220, doi:10.5194/essd-11-189-2019 (2019).