🛰️Satellite Monitoring
Visualize, Analyze Landsat, Sentinel and Planet Imagery
Last updated
Visualize, Analyze Landsat, Sentinel and Planet Imagery
Last updated
Powered by GeoPard Agriculture - Automated precisionAg platform
Earth Observation starts with solid data preparation, including obstacle detection (clouds, shadows) and advanced imagery processing.
GeoPard provides access to a 30+ years archive of processed, calibrated and cleaned satellite image data with comprehensive views calculated against every satellite image.
This allows you to monitor crop development including retrospective analysis and condition assessment, scout for areas with different levels of growth, detect anomalies, and compare your farm with neighboring fields and areas.
We compared and implemented raw Sentinel-2 imagery with an upsampled version (<1m resolution) enhanced through contrast stretching across 20 satellite imagery indices.
All are available in the GeoPard basic monitoring package.
Satellite imagery Provided by GeoPard
Provider | Satellites | Coverage | Global | Frequency | Raw pixel | GeoPard pixel |
---|---|---|---|---|---|---|
USGS/NASA | Landsat 5-9 | Since 1988 | Yes | Every 8 days (2 satellites) | 30m | 1m |
ESA | Sentinel-2 | Since 2015 | Yes | Every 5 days | 10m | 1m |
Planet Labs | PlanetScope | Every day, since 2020 | Yes | ±Every day | 3.7m | 1m |
Real-Time Indices: GeoPard calculates indices in real-time for both full scenes (Sentinel-2 and Landsat) and at the sub-field level.
Contrast Stretching: Available for each provider, with recalculated indices based on the Area of Interest (AOI) statistics.
Zoning and Analytics: Imagery supports advanced multi-layer zoning and equation-based analytics, enhancing precision in agronomic decision-making.
It could be utilized for:
Accurate change detection and anomalies early detection
Crop monitoring
Damage assessment (flood, hail, lodging)
Yield prediction
Variable rate application maps based on multi-layer zoning or agronomic Equations/Formulas
Deforestation detection
GeoPard solution has the following controls and filters to manage satellite data:
Compare layers – allows comparing criteria analytics side by side in a split view
Cloud drop-down list with the following values:
Cloud-free – shows only cloudless images
Partially cloud – adds partially cloud images
All images (default) – shows all available satellite image
Provider filter – allows filtering images by a provider (Sentinel, Planet, or Landsat)
Month and Year filters – allow filtering satellite images by month or year
Satellite monitoring section – shows satellite images, which can have the following values:
Date
Cloud indicator (partially cloud or cloudy, if you selected this option)
For cloud-free images, it displays the NDVI index calculated from the image
Provider name (Sentinel, Planet, or Landsat)
On the field map, you have the following controls:
Set of indices
Crop by boundary
Hide/Show layer
Zoom to field
Zoom to my location
3D/2D view
Zoom in
Zoom out
Map source (Bing or Mapbox maps)
New - Contrast Image - colors based on the statistics for a chosen index within the field boundary