# A GeoNode-Based Platform for an Effective Exploitation of Advanced DInSAR Measurements
## 7 Conclusions  
In this paper we have presented the extension of the GeoNode platform functionalities in order to implement a SDI with the capability to effectively exploit DInSAR deformation time-series and their related products. In particular, the proposed implementation allows the users to efficiently investigate both the spatial and temporal characteristics of the DInSAR measurements, uploaded and updated in a PostgreSQL/PostGIS geodatabase which can reach a large data volume. Moreover, the capability of the modified platform to integrate DInSAR measurements with other data sources is straightforwardly achieved.  
In particular, the implementation of the new GeoNode functionalities has been focused on the development of the following procedures:  
* upload/update of the DInSAR measurements in a PostgreSQL/PostGIS geodatabase ;
* visualization and analysis of the DInSAR deformation time-series, with the possibility to compare on the same graph the temporal evolution of multiple data pixels on different temporal spans belonging to the same processed dataset or to different ones;
* visualization and analysis of the DInSAR mean deformation velocity cross-sections for each pixel belonging to a drawn segment on the map;
* visualization and analysis of the DInSAR mean deformation velocity maps;
* generation of a personalized color table (palette) for an appropriate visualization of the DInSAR mean deformation velocity values;
* download of data belonging to a selected area;
* creation of \"png\" format images to save the visualized layers in the GeoNode webGIS interface (GeoExplorer).  
To demonstrate the effectiveness of the implemented extension of the GeoNode platform functionalities, results relevant to a Sentinel-1 DInSAR dataset of the Italian country have been extensively shown.  
We find that the presented extension of the GeoNode platform, maintaining the original compliance with the OGC standards, can provide a useful contribution to the Big Data scenario which is characterizing the ongoing developments of the Earth Observation services.  
[PERSON] conceived and designed the platform modifications; [PERSON], [PERSON] and [PERSON] performed the platform modification; [PERSON], [PERSON], [PERSON], [PERSON], [PERSON] ([PERSON]) and [PERSON] analyzed the achieved result; [PERSON], [PERSON] and [PERSON] prepared the original-draft; [PERSON], [PERSON], [PERSON] and [PERSON] wrote the review; [PERSON] and [PERSON]. ([PERSON]) supervised the work.  
This work was supported by the Italian Civil Defense Protection Department, the ESA's GEP project, the EPOS-IP project of the European Union Horizon 2020 research and innovation program (grant agreement 676564), the I-AMICA (PONa3_00363) project, and the IREA-CNR/Italian Ministry of Economic Development DGS-UNMIG agreement.  
The authors thank [PERSON] for his helpful advice on the text style and are grateful to [PERSON], [PERSON] and [PERSON] of the Istituto per il Rilevamento Elettromagnetico dell' Ambiente, Italian National Research Council, for their continuous technical assistance. Sentinel-1 SAR data are copyright of Copernicus (2016); the DEMs of the Italian territory are acquired through the SRTM archive.