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 near real time (NRT) and in interoperable formats.
For a NRT 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. The final datasets are upload to a personal cloud space and distributed in NRT for the customer selected areas or points of interest in several interoperable formats. At the same time, a personal private dashboard is provided to the end-user to analyze the information with interactive charts.
Area of Interest: MENA (Middle East and North Africa) extended region: Western Sahara, Senegal, Mauritania, Morocco, Mali, Algeria, Tunisia, Libya, Egypt, Niger, Nigeria, Chad, Sudan, Eritrea, Ethiopia, Djibouti, Somalia, Israel, Jordan, Lebanon, West Bank, Syria, Turkey, Iraq, Iran, Kuwait, Saudi Arabia, Kuwait, Qatar, United Arab Emirates, Oman, Yemen
problem to solve
contribution to the SDGs
Silex Clouds S.R.L. see several SDG as those related to Energy, Climate Change and Cities, as the challenges to which can contribute the most: Goal 7 (energy): helping to improve the efficiency in the management of the renewable energy infrastructures and best potential locations. Goal 13 (climate): helping to identify changing weather patterns and with the full DMS the real time monitoring of extreme dust storm events. Also giving support for erosion and soil degradation monitoring and impact on agriculture. Goal 11 (cities): helping to deal with challenges related to cities infrastructures and services, as transport systems. Providing support to improve road safety, identifying most impacted areas and its seasonality.
who makes it possible?
a Team of Professionals
Space3ac program is a unique acceleration program that brings together large business and technological startups that provide them with innovative solutions.
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: