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d Final saliency map and ground truth.
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Unmanned aircraft, satellite mapping and ground sensors controlled by tablet computers - not 21st century espionage but 21st century wine making.
Maps and ground surveys were used to identify households within 0.5 km of each fragment; members of all of these households were invited to participate in the study in 2004.
The LCC measures the strength of a linear relationship between the predicted saliency map and the ground-truth saliency map.
The resolution was assessed at FSC = 0.5 by calculating the FSC curve between the reconstructed map and the ground-truth map generated from the PDB file.
The FSC was calculated between the reconstructed map and the ground-truth map generated from PDB files (PDB code 4V7H for the datasets with Gaussian noise in (A), and PDB codes 4V7C for the dataset generated from InSilicoTEM in (B)).
In this study, simulation data from climate models and the land surface model, reanalysis data, the Tibetan Plateau permafrost map, the Circum-Arctic map of permafrost and ground ice conditions, and in situ observations of soil temperature were employed to analyze and validate the results.
The RGB reference map after Pauli decomposition and ground reference map are shown in Fig. 4a, b, respectively.
The present study utilizes ground ice data from the map of permafrost and ground ice conditions.
Ground ice data were obtained from the Circum-Arctic map of permafrost and ground ice conditions (Brown et al. 1997; USNSIDC 2005).
In the present study, the use of ground ice from the map of permafrost and ground ice conditions, a coarse horizontal climate model resolution, and the absence of soil particle properties in calculations may have resulted in potential uncertainties.
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