Case Study
97.9% data accuracy on crop acres reporting and that’s not all…
ProAg partnered with PlanetWatchers to help envision the future of acreage reporting and wind damage analysis. Read our case study to see the results.
Should AIPs use Hi-Res satellite imagery?
As the need to fairly and swiftly resolve crop insurance claims increases, insurers are turning to satellite imagery to improve claims adjustments. Yet, the highest precision doesn’t necessarily lead to the highest return on investment (ROI) for approved insurance providers (AIPs).
Learn about the advantages and limitations of imagery technologies in the crop insurance industry in this article.
Core Crop Insurance Services
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. ”
Advanced Services
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. ”
Case Study
97.9% data accuracy on crop ares reporting and that’s not all…
ProAg partnered with PlanetWatchers to help envision the future of acreage reporting and wind damage analysis. Read our case study to see the results.
Latest Webinar
In this webinar series, PlanetWatchers discuss in detail how SAR (synthetic aperture radar) analysis is used to deliver crop monitoring.
Our CEO Dominic Edmunds, CTO Roi Shilo and SVP of Sales Jordan Winkler discuss the capabilities of SAR analysis, and how it has a pivotal role in providing more accurate, early season reporting to the crop insurance and agriculture industries.
Core Crop Insurance Services
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.”
Advanced Services
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.”
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.