Журнал
Proceedings of SPIE - The International Society for Optical Engineering. 9th International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2023 Ayia Napa 3 April 2023 до 5 April 2023
ISSN:0277786
Абстракт
Examining web tools and creating techniques for visualizing and gaining access to data from netCDF files using a web user interface (UI) and GIS technology are the main goals of the work. There are numerous technique to take into consideration in order to offer quick and simple access to netCDF data. The first step is to preprocess the netCDF files, select the related data, and convert them into the chosen image format, such png or jpeg. Scalar marine data such as sea surface temperature, salinity, sea level, or sea temperature and salinity at particular depths can all be used this technique. The Python module can be used to prepare data. The data for wind, waves, and sea currents can also be shown similarly. The picture files should be retained on the Web server as archived files after being preprocessed, allowing for quick UI access. With web map services like mapbox GL, Cesium, OpenLayers, etc., these images can be seen as layers. A second technique entails converting static parameters from netCDF files to geoTIFF format beforehand and using OpenLayers 7 to view geoTIFF files. The benefit of this technique is that it gives access to the data value at any time and enables the visualization of the data using various color scale bars. A specific user interface (UI) was developed to test the second strategy. The UI enables features to display geographical maps at the pre-selected date, time, and marine parameter at a specific water depth, as well as to view marine data profiles at select points. The relevant python scripts select the proper data profile and then return them in json format to the UI in order to receive and examine the marine data profiles. The relevant request, which contains the geographical coordinates, is sent to the server. The UI makes use of plot tools to display the profiles of marine data. © 2023 SPIE.
Ключевые слова
Cesium, GIS, jQuery, netCDF, nodejs, openlayers