Today

May 20, 2021 - November 30, 2021

May 2021
THU 20
May 20, 2021 @ 10:00 am - 11:00 am +04

Protecting Satellite Images Against Attacks using AI and Image Processing Techniques

Virtual

Satellite imagery is a pivotal source of valuable information for monitoring our planet along with natural resources. However, these images have an extreme acquisition cost. Nowadays, with the widespread of the advanced technology, unauthorized ordinary people can access these data, modify...

Protecting Satellite Images Against Attacks using AI and Image Processing Techniques
TUE 15
June 15, 2021 @ 10:00 am - 11:00 am +04

Earth Observation in the New Space Age

Virtual

The “NewSpace” age has been a great disruptor of the earth observation industry ecosystem over the last few years, more so in the last three years with several new startups announcing plans to develop constellations of microsatellites with the ability to provide very high spatial resolutio...

Earth Observation in the New Space Age
TUE 29
June 29, 2021 @ 10:00 am - 11:00 am +04

Automated Surveying Using AI & Google Maps Satellite Imagery

Virtual

In this session, InfraLytiks will present some very interesting capabilities and case studies for automation and Artificial Intelligence (AI) case studies for Satellite Data based automated surveying. The focus will be on a case study have been successfully developed and completed by Infra...

Automated Surveying Using AI & Google Maps Satellite Imagery
TUE 13
July 13, 2021 @ 10:00 am - 11:00 am +04

Spatial Enhancement of Hyperspectral Satellite Imagery

Virtual

Remote sensing technology has undeniable importance in various industrial applications. Some of which include mineral exploration, plant detection, defect detection in aerospace and shipbuilding, and optical gas imaging, to name a few. Remote sensing technology has been continuously evolvi...

Spatial Enhancement of Hyperspectral Satellite Imagery
TUE 7
September 7, 2021 @ 10:00 am - 11:00 am +04

Remote Sensing of Soil Salinity in the UAE

Virtual

Soil salinity, whether natural or human induced, is a major geo-hazard in arid and semi-arid landscapes. In agricultural lands, it negatively affects plant growth, crop yields, whereas in semi-arid and arid non-agricultural areas it affects urban structures due to subsidence, corrosion and...

Remote Sensing of Soil Salinity in the UAE
TUE 21
September 21, 2021 @ 10:00 am - 11:00 am +04

Application of Remote Sensing and GIS to Flood and Rainwater Harvesting

Virtual

The construction of the Grand Ethiopian Renaissance Dam (GERD) will have positive and negative impacts on the people living downstream. Among possible impacts is the probability of flooding of human settlements along the Blue Nile. Reduction of water level is also a possible adverse effect...

Application of Remote Sensing and GIS to Flood and Rainwater Harvesting
TUE 5
October 5, 2021 @ 10:00 am - 11:00 am +04

Applications of Remote Sensing to Air Quality Monitoring

Virtual

Air pollution has always been considered a major problem worldwide. The formation of air pollutants depends upon the sources of their precursors whether natural or anthropogenic. The level of air pollution, and therefore a measure of air quality, is derived from measurement of concentratio...

Applications of Remote Sensing to Air Quality Monitoring
TUE 16
November 16, 2021 @ 10:00 am - 11:00 am +04

Earth Observation Products and Services: From Concepts to Applications and Beyond

Virtual

The Mohammed Bin Rashid Space Centre (MBRSC) is integral to the strategic initiative put in place by the Dubai government to inspire scientific innovation, technological advancement, and to advance sustainable development in the United Arab Emirates. Products and services offered by the MB...

Earth Observation Products and Services: From Concepts to Applications and Beyond
TUE 30
November 30, 2021 @ 10:00 am - 11:00 am +04

Spatio-temporal Forest Fire Monitoring using Spatial-statistical and Geo-spatial Analysis of Factors Determining Forest Fire in Margalla Hills, Islamabad, Pakistan

Virtual

The spatio-temporal changes in burnt area were identified using Landsat satellite data and modeling was used to predict the fire ignition and size distribution daily and yearly. Forest fire ignition models are effective ways to predict and classify drivers for ignition probability across b...

Spatio-temporal Forest Fire Monitoring using Spatial-statistical and Geo-spatial Analysis of Factors Determining Forest Fire in Margalla Hills, Islamabad, Pakistan