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Enhanced Earth Observation Through Flying Sensors
HiView deploys a range of platforms on which various sensors (both in the visible and non-visible parts of the spectrum) can be mounted. Raw data is converted to information using various state-of-the-art software packages. Information is transferred to knowledge by our highly qualified scientific staff.
Our clients include professionals ranging from the science community, decision makers, natural resources managers, and farmers. We deliver our services world-wide with a particular focus on Europe, Asia and Africa. Typical examples of clients are: universities, research centers, farmers, NGOs, World Bank, governments, river basin organizations and water boards.
Expertise
Flying Sensor training to empower local farmers to increase yields
Crop stress detection to improve health and condition of crops
Data collection and analysis to support sustainable forest management
Obtain detailed information on flooding extent to get a fast response and damage estimation
Use Flying Sensors to generate detailed maps of glaciers to obtain information on surface elevation, melt and flow velocity, and glacier extent
Analysis of soil erosion by using time-series digital elevation models to measure the progression of soil erosion
News
PARTNERS
eTrainings on Flying Sensors in Kenya
Kick-off eTraining on Flying Sensors for agricultural purposes in Jordan
Nature Reserve Repeat Monitoring: Processed Results
March 22, 2021
HiView and FutureWater are reaching out to a few hundred participants with our newly developed eTraining program. The lectures are hosted by Egerton University in Nairobi, Kenya.
February 25, 2021
On the 22nd of February, we had the Kick-off event of the training on “Flying Sensors for agricultural purposes”. IHE Delft Institute for Water Education and the National Agricultural Research Center of Jordan (NARC) is collaborating with FutureWater and HiView in providing this tailor-made training.
January 6, 2021
In July - August 2020 HiView, together with Borgman Beheer, conducted an interesting assignment from Natuurmonumenten. The images are processed and the results provide meaningful insights into the vegetation development over several years.
