We also develope scripts for the automation of image processing workflows. These automatic procedures guarantee an easy ingestion of EO information in end-users systems by IT specialists by simple API requests.
Dust is the lesser acknowledged factor that significantly influences the performance of Photovoltaic installations. Few studies analyzed this effect and the consequent efficiency degradation.
SILEX Clouds Dust datasets uploaded to the end-user cloud space, gives the possibility to correlate Solar Parks performances with this phenomena in Real Time, with complete reports every 5 minutes.
Four main factors influence the soil reflectance in remote sensing images: mineral composition, soil moisture, organic matter content and soil texture. Size and shape of the soil aggregate also influence the reflectance in the images.
Soil datasets allow the discrimination between the moist and dry soils, and the analysis of trend thanks a continuos and automatic field monitoring .
Vegetation interacts with solar radiation in a different way than other natural materials. Different plant materials, water content, pigment, carbon content, nitrogen content, and other properties cause further variation across the vegetation spectrum.
Vegetation Datasets, put into evidence these variations giving the possibility to study their relationship to one another that can provide meaningful information about plant health, water content, environmental stress, and other important characteristics.
As Project Managers for several CMES & Disasters Charter activations, we participated during last years developing added value maps that helped to evaluate and monitor the impact of different natural and antropogenic disasters.
About silex clouds
Silex Clouds S.R.L. is centered on the provision of valuable information derived from complex satellite image processing techniques and GIS procedures, in real or near real time and in interoperable formats.
For a real time approach, we process satellite images acquired by meteorological geostationary satellites (EUMETSAT, GOESS, etc.) and Sun-synchronous satellites (Landsat, Modis, Sentinel, etc,). The high time imagery resolution guarantee a continuous monitoring of the phenomenon.
The time and spatial resolution of the final products varies depending on the EO system capabilities.
Support to Solar Power plants via Real Time potential soiling presence and forecasting for extended MENA region.
Real Time dust storm monitoring and Impact Assessment for extended MENA region (temporal resolution: 5 minutes).
Fire monitoring (support to tower mounted services), Oil Spill monitoring (with machine learning assistance). SAR interferometry to Floods monitoring and damage assesment.
Satellite added value products with the assistance of on-field measurement campaigns
who makes it possible?
ONDA DIAS is a platform enabling users to host data and to build their applications in the Cloud. ONDA is the name of the Serco Italia S.p.A. led consortium selected to provide the Copernicus Data and Information Access Service (DIAS).
Poland was included in SILEX image processing chain, producing daily datasets extracted from EUMETSAT Imagery. 22 Near Real Time EUMETSAT Datasets Radiances (Ch.01-11) Reflectances (Ch.01-03) Brightness Temperatures (Ch.04-11) Time Resolution :5 minutes (288 Images Processed by Day)
Hebei is a province of China in the North China region. Beijing and Tianjin Municipalities, which border each other, were carved out of Hebei. The province borders Liaoning to the northeast, Inner Mongolia to the north,Shanxi to the west, Henan to the south, and Shandong to the southeast. Bohai Bay of the Yellow Sea is to the east.
Several agricultural regions of interest have been included in SILEX Clouds automatic processing chain. In this case, Landsat-8 and Sentinel-2 imagery are automatically processed to monitor growth stages of wheat and corn fields, among others.
Algeria region of interest was included in SILEX Clouds automated processing chain of Dust Storm Monitoring and OpenStreetMap assessment. This service provides each 15 minutes the amount of km. affected by dust by OSM Highways road type.
Morocco country was included in the automatic processing chain, including NRT Dust Monitoring Service from Eumetsat imagery. An automatic dust impact assessment was included over Ouarzazate Solar Power Station. Ouarzazate Solar Power Station (OSPS) – Phase 1, also referred to as Noor 1 CSP, has an installed capacity of 160MW. It was connected to the Moroccan power Read more about new ROI: Morocco[…]
A new region of interest was inlcuded in the automatic processing chain.
The new SILEX Clouds datasets, offer the possibility to analyze :
- amount of surface affected by dust by country,
- number of hours of dust by main cities, and
- correlation of dust features with Aeronet Stations.
This new ROI includes the next countries: