Latest Webinar
Watch our latest webinar where we talk ‘data collection in the crop insurance industry’ directly with industry experts.
We are joined by guest speakers from AgriSompo North America and ProAg to discuss how remote sensing is used to support crop insurance claims. Get insight on where the future of data collection lies, and how this will impact the crop insurance industry.
Advanced insights
Our crop monitoring service is supported by historical analysis and allows for accurate and automatic identification of both policy and claims data.
The sensitivities of our analysis, ensures that we can make qualified loss projections by identifying the impacted areas, the crop type, the age of the crop and the severity of damage caused.
“ Saving hundreds of thousands of manual hours of data capture and loss adjustment, increasing accuracy and reducing overheads. ”
Latest Webinar
Watch our latest webinar where we talk ‘data collection in the crop insurance industry’ directly with industry experts.
We are joined by guest speakers from AgriSompo North America and ProAg to discuss how remote sensing is used to support crop insurance claims. Get insight on where the future of data collection lies and how this will impact the crop insurance industry.
Advanced insights
Our crop monitoring service is supported by historical analysis and allows for accurate and automatic identification of both policy and claims data.
The sensitivities of our analysis, ensures that we can make qualified loss projections by identifying the impacted areas, the crop type, the age of the crop and the severity of damage caused.
“ Saving hundreds of thousands of manual hours of data capture and loss adjustment, increasing accuracy and reducing overheads.”
PW:Response
Using a wealth of experience in SAR analysis and highly efficient algorithms, we work across the insurance industry to radically shorten the process of storm and flood damage assessment at scale and deliver results within 1 hour.
“ A much faster claims process with reduced overheads and increased customer satisfaction. ”
PW:Response
Using a wealth of experience in SAR analysis and highly efficient algorithms, we work across the insurance industry to radically shorten the process of storm and flood damage assessment at scale and deliver results within 1 hour.
“ A much faster claims process with reduced overheads and increased customer satisfaction. ”
PW:CropCycle
Using advanced machine learning and the full spectrum of commercial SAR data to support crop insurers in reporting planting dates, acreage and crop classification efficiently and at scale.
“ Automating policy data capture to reduce manual overheads and increase data integrity and availability. ”
PW:CropCycle
Using advanced machine learning and the full spectrum of commercial SAR data to support crop insurers in reporting planting dates, acreage and crop classification efficiently and at scale.
“ Automating policy data capture to reduce manual overheads and increase data integrity and availability.”
Why PlanetWatchers?
Monitoring on a large scale means extensive manual assessment, excessive time and escalating costs. We use advanced machine learning and highly efficient algorithms to turn multi-source geospatial data into comprehensive and actionable information. ”
Why SAR?
SAR (Synthetic Aperture radar) is a powerful remote sensing technology bouncing microwave signals off the Earth’s surface to detect physical properties.
It is used to create high resolution two or three-dimensional representations of objects, such as landscapes and its elements.
Imagery can be captured day and night, without the usual visibility limitations of optical data and is well suited to monitoring extensive areas.
Why SAR?
SAR (Synthetic Aperture radar) is a powerful remote sensing technology bouncing microwave signals off the Earth’s surface to detect physical properties.
It is used to create high resolution two or three-dimensional representations of objects, such as landscapes and its elements.
Imagery can be captured day and night, without the usual visibility limitations of optical data and is well suited to monitoring extensive areas.