![]() in case where coordinates of a location are known to user) Step 4: There is an option to extract pixel values by point (e.g. The user can select the relevant country. If clipping is selected this can be done by using a shapefile (.shp) containing countries. Step 3: There is an option to subset the SEVIRI product or use all of it (a very slow process). Step 2: The user must select a folder containing static LSA-SAF (available to registered users) co-ordinate transformation files. All the output images are stored in BEAM DIMAP format. Step 1: Select the folders containing SEVIRI (HDF5) images and the folder where the reprojected results are stored. The installation has been tested with the corresponding JDK (at time of writing JDK 8u60 was the most up to date version and used in implementation).Ī short description of the interface is presented below: HDF5 data have been acquired, Java 8 needs to be installed to take advantage of speed and Graphical User Interface (GUI) available through Java FX improvements. ![]() The structure of the folder is illustrated in Figure 1. The user is advised to download all available files and store them in a folder since it can be used for further reference. Using this authorisation the user can download the necessary files located in the “Auxiliary Data” tab. Once this step is completed, the user will need to authorise their account before they can request the necessary static files. To execute SEVIRI PrePro, first the static HDF5 files for the region of interest need to be downloaded, which are provided by LSA-SAF, subject to registration to their site. Figure 3 presents the GUI for SEVIRI Toolbox implementation. Capabilities of the toolbox include: reprojection, clip and extract pixel values from SEVIRI images (either raw images or any operational product). Figure 2 describes the workflow and the options a user has in using SEVIRI Toolbox. The tool has been developed in Java, as a stand-alone application with or without GUI and also as an add-on in BEAM VISAT open access image processing platform. Furthermore, we demonstrate the practical applicability of this tool using as an example an operationally distributed product from SEVIRI, although equally any other operational product may be used. The software platform, named “SEVIRI PrePro”, makes also use of present day multi-core processors, being able to process fast very large datasets, making it also suitable for use in a High Performance Computing (HPC) environment. Here we present an open source stand-alone software tool, developed in Java, which allows performing basic, yet of key importance, pre-processing steps to the SEVIRI operationally distributed products. ![]() A series of operational products from SEVIRI are provided by EUMETSAT and distributed by the Satellite Application Facility (SAF) on Land Surface Analysis (LSA) ( ). The satellite provides image data at 3 km spatial resolution at the sub-satellite point (nadir) for standard channels, and down to 1 km for the HRV channel, over 4 specific geographical regions (Europe, Africa - North_Africa and South_Africa- and South America), with a baseline repeat cycle of 15 minutes. SEVIRI has 12 spectral channels, consisting of three Visible and Near-InfraRed (VNIR) channels (centred at 0.6, 0.8 and 1.6 μm), eight InfraRed (IR) channels (centred at 3.9, 6.2, 7.3, 8.7, 9.7, 10.8, 12.0 and 13.4 μm) and one visible broadband channel (at 0.5–0.9 μm) called the High Resolution Visible channel (HRV). This is a co-funded space mission between the European Space Agency (ESA) and EUMETSAT. test_that ( "beta_div_contrib returns same values no matter the input table type.", ) test_that ( "beta_div_contrib (multi-tab input) returns same values when numbers at start of function, sample, and taxa ids.The Spinning Enhanced Visible and Infrared Imager (SEVIRI) is a geostationary orbit imaging radiometer which serves as the main payload on-board the Meteosat Second Generation (MSG) satellite. # Make sure that expected errors are returned under expected conditions as well. # Also make sure that the computations work with either the two-table or # contributional table options. ![]() # Test that overall workflow works for calculating representative beta diversity metrics.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |