The latest studies in Poland aim to implement advanced snow avalanche hazard mapping procedures, which would allow the creation of complex cartographic products for the location of avalanche hazard areas. These preliminary studies showed that results of these procedures strongly depend on the quality of...
NCEI uses mapping products to provide access to vast amounts of data in a visual way. Maps aggregate and organize raw data into a user-friendly format that display a variety of data types in the same geographic location. This allows you to see trends, gaps, and diversity among regions. ...
Coral reef management and conservation stand to benefit from improved high-resolution global mapping. Yet classifications underpinning large-scale reef mapping to date are typically poorly defined, not shared or region-specific, limiting end-users’ ability to interpret outputs. Here we presentReef Cover...
Validation of spatial prediction models for landslide hazard mapping. Nat. Hazards 30(3), 451-472. https://doi.org/10.1023/B:NHAZ.0000007172.62651.2b [14] Conoscenti, C., Rotigliano, E., Cama, M., Caraballo-Arias, N.A., Lombardo, L., Agnesi, V., 2016. Exploring the effect of ...
Two types of information are needed to use the equations above for calculating the changes in thermodynamic properties with a change of state. First is heat capacity data. This information is usually available for each component as a function of temperature for liquids and solids or for the ideal...
Seismic Zonation Mapping: Using hazard response data The article offers information on seismic zonation mapping in India, utilizing hazard response data, and discusses the application of machine learning and ... A Kumar,A Karthic,S Mulasseri,... - 《Current Science》...
data storage, data computing, data display, and interaction to describe several types of technology developed for big data, and then describe the challenges and opportunities ofbig data technologyfrom a different angle from the scholars in the related fields. Big data technology is constantly growing...
Causal inference in complex systems has been largely promoted by the proposal of some advanced temporal causation models. However, temporal models have serious limitations when time series data are not available or present insignificant variations, which
where \(x_{l}\) is the input of a layer, \(x_{l+1}\) is the input of the next layer, and the function F(x, \(w_{i}\)) is the residual mapping to be learned, which consists of convolution, normalization, and relu activation functions. For a deeper layer L, its relation ...
literature for more details on analysis methods. 2.2.3.2.1Nitrogen crop status Nitrogen deficiencyis one of the most important types of crop abiotic stress to be detected because it directly affects the productivity of the crop. An additional reason that makes the detection of N deficiency very ...