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Such an approach has wider generic application for palaeolandscape reconstruction and mapping at regional scales.
Water stress mapping at regional and monthly scale also revealed strong contrast between the products of two approaches.
Recent advances in instrument design have led to considerable improvements in wildfire mapping at regional and global scales.
However, carbon inventories based on field plots alone cannot capture the heterogeneity of carbon stocks, and thus remote sensing-assisted approaches are critically important to carbon mapping at regional to global scales.
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However, subsurface characteristics such as regolith thickness are difficult to determine through surface investigations and maps at regional scales.
However, those records provide only point estimates of past land cover, and not the spatially continuous maps at regional and sub-continental scales needed for climate modelling.
It requires high performance hardware and often long processing times that makes the photogrammetric point cloud generation not suitable for mapping purposes at regional and national scale.
In the present paper we discuss a few issues regarding the secular variation (SV) and secular acceleration (SA) of the geomagnetic field that have consequences on mapping them at regional scales.
We have discussed, based on data from the European observatory network and global main field models extending a long time interval (gufm1, 1590 1990, IGRF, 1900 2010; CM4, 1960 2002), a few issues regarding the secular variation and secular acceleration, with consequences on mapping them at regional scales.
In the present paper we discuss, on data from the European network of geomagnetic observatories, a few issues regarding the secular variation and secular acceleration, with consequences on mapping them at regional scales, from the perspective of the existence of high-frequency ingredients (Demetrescu and Dobrica, 2005, 2013) in the temporal change of the main field.
Cloud-free Reflectance Composite, Vegetation Status Indicators (LAI, NDVI and phenology metrics), Dynamic Cropland mask, Crop Type map. at regional or national scale (cf. Fig. 6).
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