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GlobeLand30 LULC and Global Forest Change geodata merging for environmental modelling

Dmytro Hlotka

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Rok, strany / Year, pages: 2017, 61-73

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Publikované / Published: 0000-00-00

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Reference land use and land cover (LULC) geodata is an important input parameter for environmental modeling in GIS. GlobeLand30 (GLC30) LULC geodata, released in 2015, has the highest spatial resolution of 30 m globally. Another important tool for Landsat-based global geodata is – Global Forest Change (GFC), which defines the tree cover state of the year 2000, including its density, tree cover loss and gain from the years 2000 to 2012, with a spatial resolution of 25 m. The methodology to produce the GFC geodata, as well as its accuracy to determine the forest class, is superior to the GLC30. In this study, an ArcGIS geoprocessing model is proposed to merge the GLC30 and GFC geodata, based on the Shuttle Radar Topography Mission Global 1 arc second (SRTMGL1) Digital Elevation Model (DEM) pixel grid, in order to control the layers of consistency (cell alignment and spatial resolution). 535 points were randomly distributed within each LULC class in the Desna River sub-basin study area, proportional to the class relative area. Quality assessment by means of Error matrix and Kappa coefficient of the merged geodata shows that overall classification accuracy increased from 70% to 77,8% (Kappa from 0,57 to 0,68) with a 23% increase in the Producer`s accuracy for the forest class. The geoprocessing model with the test data sample are available at https://github.com/dmy3tka/GIScience. The approaches taken in this study could be used to improve quality of the input geodata for distributed environmental and hydrological models, especially when dealing with corresponding geodata from multiple sources.

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Kľúčové slová / Keywords:

GlobeLand30, Global Forest Change, geoprocessing model, merging, Desna river sub-basin

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