Ask what you want to know about any location on Earth. Klarety agents access every major satellite source automatically, process the imagery, compute the right indices and models, and return a complete, cited analysis. No GIS software. No remote sensing expertise. No setup.
Satellite imagery contains valuable intelligence, but traditional remote sensing requires specialized software and months of training
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Satellite imagery contains the physical reality of what is happening on Earth, updated every few days. But accessing it has always required specialized software, processing knowledge, and technical expertise that most teams do not have. The data exists. Getting an answer from it has been the barrier.
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Sentinel-1 SAR images through clouds and at night. Sentinel-2 provides 10-meter optical coverage globally every 5 days. Landsat extends historical analysis back to 1972. MODIS delivers daily global data. NAIP provides sub-meter resolution across the US. All of it is publicly available. Klarety agents access and process it automatically.
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You ask a question in plain English about what is happening at a location. Agents select the right satellite sources, access them, write Python code to process the imagery, execute that code, compute the relevant indices and models, and return the complete output with all processed imagery, charts, statistical results, code, and methodology. You contribute the question. Everything else is handled.
Multi-Source Imagery: Sentinel-1 and Sentinel-2 data with 10-30 meter resolution. Electro-optical imagery for visual analysis and monitoring. Synthetic Aperture Radar (SAR) for all-weather observations. Regular updates every 4-6 days in populated areas.
NDVI (Normalized Difference Vegetation Index) for agricultural monitoring. NDWI (Normalized Difference Water Index) for water body analysis. Burn Area Index for fire damage assessment. Global land cover classification for comprehensive terrain analysis.
Ground truth validation for accuracy assurance. Statistical analysis with confidence intervals. Natural language queries eliminate technical barriers. Real-time processing for urgent applications.
Satellite Sources: Sentinel-1 SAR, Sentinel-2 optical imagery. Spatial Resolution: 10-30 meters depending on analysis type. Temporal Resolution: 4-6 day revisit cycle globally.
Professional-grade satellite analysis with validated accuracy
Sentinel-1 SAR, Sentinel-2, Landsat (1972 to present), MODIS, NAIP, NASA SMAP, GRACE, GPM, ERA5-Land, Copernicus
10 meter Sentinel-2, sub-meter NAIP, 30 meter Landsat, all-weather Sentinel-1 SAR
5 day Sentinel-2 repeat, daily MODIS, SAR any time regardless of weather
NDVI, NDWI, NDMI, NDSI, NBR, EVI, SAVI, Burn Area Index, and any other index required
95% or higher, statistically validated with confidence intervals in every output
GeoTIFF, COG, GeoJSON, SHP, KML, CSV, JSON, PNG, Python code, methodology documents
Advanced remote sensing intelligence made accessible
Klarety agents access Sentinel-1 SAR for all-weather and night-time analysis, Sentinel-2 optical at 10 meter resolution, Landsat for historical coverage back to 1972, MODIS for daily global temperature and vegetation data, NAIP for sub-meter resolution in the United States, and NASA Earth data products including SMAP soil moisture, GRACE groundwater, and GPM precipitation. You never specify a satellite name or configure a data source. Agents choose what is appropriate for your question and access it automatically.
NDVI for vegetation health and crop monitoring. NDWI for water body detection and flood mapping. NDMI for moisture stress. NDSI for snow cover. NBR for burn area severity. EVI and SAVI for canopy and soil-adjusted vegetation. Agents compute any index relevant to your question, and go further: image segmentation, object detection, land cover classification, building footprint detection, and any other pixel-level or feature-level analysis a remote sensing expert would run.
A Klarety satellite analysis does not return a raster file for you to interpret. It returns the finished intelligence: processed imagery with appropriate composites and color palettes, all computed index maps, statistical summaries with confidence intervals, charts, narrative findings in plain English, every source cited with metadata, and all files downloadable in GeoTIFF, GeoJSON, CSV, and Python formats. All code that ran is shown. Every number is traceable to a calculation.
Continuous monitoring vs periodic site visits
versus days or weeks waiting for a specialist or consultant
no GIS training or remote sensing background required
all code shown, all methodology documented, every result reproducible
historical data from 1972, current imagery updated every few days
What professionals are saying about satellite intelligence
"Our team monitors vegetation health across our agricultural assets without waiting for a GIS specialist. We ask the question, agents run the NDVI and soil moisture analysis, and we have results the same day."Dr. Sarah MitchellEnvironmental Director, AgriTech Solutions
"We produce satellite-backed alternative data signals for our investment team that would have taken weeks to build through a traditional remote sensing workflow. Now it comes from a plain-English question."James ChenRemote Sensing Manager, Environmental Consulting Corp
"We track changes across 30 infrastructure sites globally. The 4 to 6 day update frequency means we always have current satellite intelligence, not a quarterly summary that is already outdated."Maria RodriguezOperations Director, Infrastructure Monitoring Inc
Everything you need to know about Klarety and our satellite analysis platform.
