Geodata & GeoprocessingGeographic Information SystemsEarth Observation

Geodata & Geoprocessing

Geographic Information Systems

Earth Observation

About Us

Quadratic is a belgian consulting company specialized in the geospatial data sciences. We provide expertise and services in Geographic Information Systems and Earth Observation.

Here are some of our references and partners:


Thanks to geodata, you can for instance:

» Refine your business strategies based on objective information

» Find the strategic and ideal positions for your infrastructures

» Predict and schedule agricultural yields

» Map forest stands and monitor forest interventions

» Facilitate the maintenance of your utilities networks (energy, road, …)

» View your data on efficient thematic maps

viewers
Geographic Information Systems, a.k.a. GIS, are information systems built to collect, store, display, analyze, process and manage all kind of spatial and geographical data.

These tools allow us to deal with your geodata and extract high value-added information using geoprocessing techniques.

» We manipulate and analyze your geodata with GIS desktop software (QGIS, GRASS GIS, SAGA GIS or SNAP)

» We store and organize your geodata for convenient uses in spatial databases (PostGIS or Oracle Spatial)

» We transform, load or extract your geodata with translator libraries (GDAL/OGR) allowing to deal with almost all vectorial and raster formats

» We expose and distribute your geodata through interoperable web services using servers (GeoServer)

» We display and highlight you geodata through interactive web maps and applications (OpenLayers or Leaflet)

Copernicus_fb

Copernicus, the European Program dedicated to Earth Observation, gives us the opportunity to highlight land-use changes, manage forest, monitor agricultural areas, measure ground deformations, track sea ice…

It is a very reliable remote sensing source with an excellent temporal resolution: data and images are available for geoprocessing just a few days after their acquisition.

» We use Sentinel-1‘s C-band radar data, that allow collection regardless of the weather or the time of day

» We use Sentinel-2‘s multi-spectral imagery, that have a versatile set of 13 spectral bands spanning from the visible and near infrared to the shortwave infrared

» We do Image Interpretation by examining, identifying and analyzing features such as vegetation type or anthropogenic features like roads or mineral extraction activity

(Quadratic Presentation in PDF Format)


News

Quadratic recherche un Géomaticien Junior

Note du 04/06/2017 - Ce poste n'est plus vacant

Quadratic est une société de service belge active dans l’IT et le GIS (Geospatial). Nos prestations couvrent l’analyse, la conception, l’architecture, le développement, les tests, la documentation, la productisation ainsi que la maintenance de solutions logicielles.

Outre nos activités de développements en prix fixe ou régie pour nos clients, nous développons actuellement des outils de suivi et de prise de décision en temps réel pour les secteurs de l’agro-industrie et de l’agriculture de précision.

Afin de renforcer notre équipe et d’assurer notre croissance, nous recherchons actuellement un géomaticien.

job

Vos responsabilités

En tant que géomaticien junior, vous serez amené à 

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Quadratic recherche un Senior Java/GIS Consultant

Note du 04/06/2017 - Ce poste n'est plus vacant

Quadratic est une société de service belge active dans l’IT et le GIS (Geospatial). Nos prestations couvrent l’analyse, la conception, l’architecture, le développement, les tests, la documentation, la productisation ainsi que la maintenance de solutions logicielles.

Outre nos activités de développements en prix fixe ou régie pour nos clients, nous développons actuellement des outils de suivi et de prise de décision en temps réel pour les secteurs de l’agro-industrie et de l’agriculture de précision.

Afin de renforcer notre équipe et d’assurer notre croissance, nous recherchons actuellement un consultant Java ayant des connaissances en GIS/géomatique.

job

Vos responsabilités

En tant que consultant développeur senior, vous serez amené à travailler sur 

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Monitoring Crop Field Soil Moisture (NDWI) Using Sentinel-2 Temporal Series

Monitoring the soil moisture level of crop fields is one of the most important thing to do for having an optimal crop yield. The finer the spatial and temporal resolution, the better it is to take prompt actions when necessary.

The Copernicus Sentinel-2 programme makes it possible to have a full coverage of any place in Europe at least every 5 days in 13 different multispectral bands. Based on this, we studied the Normalized Difference Water Index (NDWI) over the period from May to September 2016 in the agricultural region in the Northern part of Liege, Belgium. The NDWI is defined by the following formula:

NDWI = ( NIR – SWIR ) / ( NIR + SWIR )

Where NIR is for the Near infrared band and SWIR for Short-Wave Infrared band. For Sentinel-2 data, these bands are respectively 8A and 11, which spatial resolution is of 20m. Values range from -1, very bad moiture level, to 1 very high moisture level.

The reflectance in the NIR band is influenced by the leaf internal structure and the dry matter of the crop. The SWIR, on the other hand, reflects the changes in both the vegetation water content and the spongy mesophyll structure. Other things being equal, a darker area in the SWIR area of the spectrum highlights a higher water content. The combination of both bands removes the variations induced by the leaf internal structure and the leaf dry matter content. The accuracy in the water content measurement is thus enhanced.

Our time series study gave us the following result for the 5-month period.

NDWI evolution from May to September 2016

NDWI evolution from May to September 2016

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