Modelling error evaluation of ground observed vegetation parameters
To verify large-scale vegetation parameter measurements the average value of sampling points from small-scale data are typically used. However, this method undermines the validity of the data due to the difference in scale or an inappropriate number of sampling points. A robust universal error asses...
Huvudupphovsmän: | , , , , |
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Materialtyp: | Journal article |
Språk: | English |
Publicerad: |
IEEE
2019
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