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The approach adopted involves expert opinion of how the two land cover datasets relate under a scenario of idealised relations.
Additionally, large discrepancies occur among land cover datasets, and choice of one dataset over another will affect model outcome [82, 83].
Although primarily designed for change detection, our method can also be used as a temporal smoothing technique to remove noise in time-series of land cover datasets.
The need for accurate and compatible historical land cover datasets is increasing due to the growing interest in the drivers and impacts of landscape changes.
This approach also has the advantage of facilitating the integration of Sinai land cover mapping products to be included with the regional and global land cover datasets.
By utilizing methods like the proposed PB-RNN one, we believe that much more accurate land cover datasets can be produced over large areas.
Similar(38)
The relationship between land-use induced changes in production ecology and avifauna diversity was analysed using a GIS land cover dataset on a 0.25 km × 0.25 km grid covering Austria's national territory.
Our base land cover dataset (Fig. 2a) is the 2011 National Land Cover Database NLCCD) [86] which is derived from Landsat data.
The case study area Marchfeld with the four sub-regions (upper figure), with underlying CORINE land cover dataset 2000.
In this study, an urban land cover dataset received from the database of UCI University of Californiaatat Irvine) machine learning was used as the urban land cover data.
We then modified the first national land cover dataset (GIRAS, 1975) to make it compatible with the contemporary national land cover database (1994 2006).
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