Automated Remote
Sensing Analytics
From Earth Observation
Satellite Data (EOS)
Sensing Analytics
From Earth Observation
Satellite Data (EOS)
Supported by:
Analytical solutions to assist agriculture for 2021 commercial release
Crop Insurance Loss Adjusting Software-as-a-Service
- documentation
- enhanced efficiency
- fraud and snagged claims eliminated
Precision Agriculture Analytics
- at-a-glance comparison of crop growth
- forecasted crop stages
Atmospheric Correction Algorithms
- software to correct EOS data to at-ground reflectance for nadir or off-nadir viewing
- permits users to follow crops through the season
Automated cloud-removal algorithms
- software that accurately removes all clouds and cloud-shadows
ARSI’s software development follows the four Rs and four As
Remote Sensing R’s
Rational – well thought out and tested
Raster-based – cover immense areas
Reproducible – always get the same answer
Robust – always get the right answer
Agriculture Software A’s
Agronomic – based on functional relationships
Actionable – treatments for economic return
Automated – large area/client volume
Affordable – production costs spread over large client volume