# Multi-Hazard WebGIS Platform for Coastal Regions
## 3 Showcasing the Results: Application to the Central West Portuguese Coast
### Cova-Gala Observatory
#### 3.2.2 Observatory Information  
The results tab is split into multiple areas: data (_dados_), risk scenarios (_centrios_), vulnerability (_vulnerabilidade_), model predictions (_previsoes_) and assimilations and alerts (_assimilacoes e alertas_). Each section provides access to the results at the best time and space resolution. This part of the interface provides all the information for both the model and prediction infrastructure and the monitoring analysis. Herein, we concentrate on two products: data with an emphasis on Sentinel data, and model predictions, illustrated by SCHISM results. Figure 9: Sample significant wave height predictions. The user can use the slider to move back and forth in time. Four types of data are included in the portal (Figure 10):  
* Data related to field campaigns, which includes topographical and photogrammetric surveys, used to profile beaches, coastlines, defense structures toe, dunes foot, flooding and overtopping events at the selected observatory, and hydrodynamic data used to validate numerical models. * Real time data, obtained through on-site cameras, placed on each observatory. The resulting images serve as input for a Python processing algorithm, to obtain several outputs, namely the line of the offshore bar, the breaker line, the wet/dry interface line and the vegetation line. These lines are used to validate numerical models applied and validate events of overtopping or flooding. In-situ sensors are also included here. * Sentinel satellite data, composed of multiple satellite images that are processed and used to reconstruct the 3D morphology of beaches and to monitor the position of the shoreline. * Historical data of flooding and overtopping occurrences on the selected observatory (including times of occurrence, flooded area, water levels and other data). When the user accesses the data (Dados) page, they are greeted with an interface that shares similarities with the MOSAIC home page. The main goal of this similarity is to highlight the importance of this section of the platform, by creating a small \"data hub\" to present the different data types. By clicking on one of the available data types, in the 2 \(\times\) 2 image-based table on the left (as shown on Figure 10), the text box on the right is updated with the corresponding data description and access button. The select (_selectionar_) button allows the user to finally visualize the selected data. After the selection procedure, a dedicated interface is presented for each data type. This concept is illustrated here for the processed Sentinel images, trimmed and merged to the dimensions of the observatory (Figure 11). Figure 10: View of the data (_dados_) page. In this example, satellite data (_dados de satellite_) was pre-selected on the left (image-based) table. The actual data are accessed by clicking on the box on the right. The water/land interface is identified by processing images from the Sentinel missions, automatically downloaded from the ESA Copernicus OpenHub. The satellite images used in this service are retrieved from Sentinel-2A and Sentinel-2B constellation, with a temporal resolution of five days. Level-2A images (bottom-of-atmosphere reflectance in cartographic geometry) were used for the calculation of the NDWI (normalized difference water index), using the green (B3--560 nm) and NIR (B8--842 nm) bands, both with 10 m pixel resolution.