Accuracy assessment of global tree cover maps in the lowland plains of Ukraine
Journal Title: Біоресурси і природокористування [Biological Resources and Nature Management] - Year 2018, Vol 10, Issue 1
Abstract
The global Landsat-based forest maps are of great importance both for scientists and society as a tool for forest monitoring. The paper presents detailed analysis of accuracy of two popular forest/tree cover datasets for mapping lowland plains forests of Ukraine at 30 m spatial resolution – Global Forest Change (GFC) and Landsat Tree Cover Continuous Fields (LTCСF). To analyze the products, the reference dataset was collected which included about 4700 sampling points randomly distributed within 21 regions of Ukraine. Google and Bing Maps images were used for interpretation of sampling points. Afterwards, tree cover values for GFC and LTCCF datasets were extracted using reference dataset. The comparison of analyzed datasets showed that LTCCF has systematically lower values of tree cover. It was also concluded that significant level of first- and second-order errors takes place during classification of the datasets, but their magnitude tends to be higher for LTCCF. The accuracy of both maps is not enough to predict tree cover of windbreaks, however LTCCF is less accurate. It was also found that GFC is more preferable for practical use. Selection the tree cover value of 40 % as threshold for classification is more reasonable for GFC while 25 % - for LTCCF dataset. The analysis of two additional thematic layers of GFC map that represent forest cover change showed that they are not accurate enough to represent forest dynamics.
Authors and Affiliations
V. Myroniuk
Keywords
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