Hosted by Eric Andelin CP, Senior Workflow Specialist with guest speaker Michael O’Sullivan, VP Sales, SimActive Inc.
It is often challenging for new entrants into the aerial imagery and mapping service profession to determine cost savings when it comes to their processing software solution. Smaller sensors, altitude restrictions, line of sight requirements and overall flight duration create unique challenges for drone operators. Medium and large format sensors acquire much larger areas, but require a much larger investment, or the ability to subcontract out the acquisition. Mapping expenses tend to increase as projects become larger. And using the wrong image processing software can exacerbate this, leading to narrowing project profits. This webinar will show how a higher-end software such as SimActive’s Correlator3D™ can reduce overall project costs. REGISTER HERE.
Specifically, attendees will learn about the following:
- Common challenges and impact on costs
- Cost variations as projects increase in size
- Workflows in Correlator3D to minimize man-hours
- Accelerating timelines with distributed processing
The International Association of the IEEE-Geoscience and Remote Sensing Society (GRSS), the IEEE-Computational Intelligence Society (CIS) and the local organising committee invite geospatial and computing professionals to attend the International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS) to be held in Wellington, Aotearoa New Zealand in April 2024.
MIGARS aims to explore the interface of machine intelligence approaches with geosciences, spatial analytics, and remote sensing. With the tremendous developments in remote sensing technology, data acquisitions and sensing platforms, digital data have grown leaps and bounds to stream and are too big by volume, variety, and veracity. The challenge is handling, processing, and automating geo-data from various sources, such as multi-platform remote sensors and IoT devices, informing decision-making and monitoring our planet.
The conference will focus on connecting researchers from various disciplines, including computation/artificial intelligence, engineering, remote sensing, hydrology, agriculture and geosciences, and look for the potential use of intelligent computational approaches for geo-data-based applications and for serving society at large.