Scale .las point cloud from Grid to Ground Coordinates? Is there a way to scale a .las point cloud (or a surface generated by said point cloud) without affecting the elevations? We have LiDAR data, which is in grid coordinates, and the engineers would like to use LiDAR-generated surfa...
Medial entorhinal cortex (MEC) grid cells fire at regular spatial intervals and project to the hippocampus, where place cells are active in spatially restricted locations. One feature of the grid population is the increase in grid spatial scale along the dorsal–ventral MEC axis. However, the dif...
The implications of our investigation of the annual energy density include not only the resulting land requirements but also the spatial extent of the power infrastructure needed to generate energy. Another factor is that the land use of different power sources tends to be perceived differently17, ...
At test time, given a trained ConvNet and an input image, it is classified in the following way. First, it is isotropically rescaled to a pre-defined smallest image side, denoted as Q (we also refer to it as the test scale). We note that Q is not necessarily equal to the training ...
Ambiguity in upsampling depth map. (a) Color image. (b) Ground truth. (c) (Enlarged) LR depth map downsampled by a factor of 8. Results for upsampling: (d) SRCNN [11], (e) Our solution without ambiguity problem. Full size image ...
Two different landscape representations were tested. For the grid-based approach, all the variables were resampled to the modelling resolution of 100 m × 100 m. The delineation of slope units was performed using ther.slopeunitsextension of GRASS GIS (Alvioli et al.,2016) using a scale-...
1). With the exception of these regions, SMOSL3 exhibits higher correlations with the reference over most of the grid cells. 3.2. Influence of leaf area index (LAI) To analyze the effect of vegetation, we computed the average correlation coefficient as a function of the global long term ...
The relationship between sparse soil ground measurements and exhaustively available environmental covariates, such as satellite data, is quantified to derive soil models (Keskin et al, 2019). In DSM, SCORPAN factors are usually represented by environmental covariates in the form of digital gridded ...
As the model generally also under-predicted BC mass loadings by a factor of 1–30 (Supplementary Fig.16), we show the ratio of observed anthropogenic FeOx-like to rBC vs. the model predictions for the magnetite to BC ratio for each region in Fig.7. The model results for the ratio of ...
GEnome-scale Metabolic models (GEMs) are powerful tools to predict cellular metabolism and physiological states in living organisms. However, due to our imperfect knowledge of metabolic processes, even highly curated GEMs have knowledge gaps (e.g., missi