Preparation of terrain data in a multi-resolution model constructed in order to optimize the analysis of hydro-meteo events.

Analysis of the observed rain, consisting of the approximation of the observed rain with various techniques, the extraction of the critical points (in particular maxima), and the tracking of the path of the precipitation maxima.

The workflow provides quick solution for extracting flood/waterlogging information from multispectral remotely sensed images. The threshold-based thematic classification works primarily on top of atmosphere reflectance values and multiple spectral indices. You can run the workflow on TIFF or GeoTIFF images. Additionally to the image, original metadata has to be uploaded because of ToA-reflectance calculation. As a result, an uncompressed regular TIFF of GeoTIFF will be generated, containing thematic class numbers indicating the degree of flooding.

Detection and characterization of landslides.

The aim of this workflow is  to generate a single seamless surface from multiple disparate point cloud source data in a rapid and flexible way, and to visualize it.

The work flow is tightly integrated with MS1 and can serve as a starting point for a more interactive deconfliction process than the one envisaged in MS1.

Detection of surface changes from bathymetric point clouds and existing elevation models will address user stories including coastal monitoring, geomorphology, physical oceanography, etc. 2D Displacement measurement using DSM/DTM/DEM and optical images using sub- pixel image cross-correlation with spatial regularization for measuring submarine dune migration.

The workflow has a major role in production of a seafloor 2D map with labels corresponding to identified sea bottom types using Bathymetric Lidar Full WaveForm Data.

Methods for extracting e.g. trees from LMMS data are certainly under development at different research institutes, but cannot yet be viewed as well established. It is still notably considered challenging to successfully identify individual trees from part of a point cloud classified as sampling trees.