Satellite Monitoring

GeoPard provides access to a 30+ years archive of processed, calibrated and cleaned satellite images data with comprehensive sets of views, which are 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.

Controls and Filters

GeoPard solution has the following controls to manage satellite data:

  1. Images (Compare layers) – allows comparing criteria alytics side by side in a split view
  2. 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
  1. Month and Year filters – allow filtering satellite images by month or year
  2. Provider filter – allows filtering images by a provider (Sentinel, Planet, or Landsat)
  3. 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
  • Satellite name (Sentinel, Planet, or Landsat)

On the field map you have the following controls:

  1. Set of indices
  2. Crop by boundary
  3. Hide/Show layer
  4. Zoom to field
  5. Zoom to my location
  6. 3D/2D view
  7.  Zoom in
  8.  Zoom out
  9.  Map source (Bing or Mapbox maps)

Vegetation indices

All satellite imagery is corrected and optimized for viewing and analysis. Selecting different imagery views allows you to understand your field better by recognizing well-developed areas and areas with crop emergence anomalies. These views include:

  1. RGB – Natural or true color (red, green, and blue).
  2. NIR – (default) a combination of non-visible (near-infrared) and visible (red, green) parts of the spectrum. It increases interpretability of the data: vegetation is in shades of red with highly vegetated areas in bright red, and soil ranges from dark to light green or grey.
  3. EVI2 – Enhanced vegetation index (from 0 to 2.4), is preferable to NDVI for fields with high canopy density where NDVI may saturate. This view can be used to analyze crops in all growth stages.
  4. LAI – Leaf area index (from 0 to 5.86), dimensionless quantity that characterizes plant canopies. Distribution from bare soil to dense canopy. It ranges from the bare ground (index value 0) to the dense canopy (index value is 3.5 and higher for the peak of growing season) and shown in red to green colors.
  5. NDVI – Normalized Difference Vegetation Index (from 0 to 1) is a good crop health indication, representing green vegetation distribution. Though there are limitations when using this view at the start of the growing season (influenced by soil) and at the peak of vegetation (saturation). It is shown from red to green on the map.
  6. GNDVI – Green Normalized Difference Vegetation Index (from 0 to 1). It is more sensitive to chlorophyll difference than NDVI and recommended for crops in early to mid-growth stages. Distribution is from red to green on the map.
  7. IPVI – Infrared Percentage Vegetation Index (from 0 to 1). This index is functionally the same as NDVI, but it is computationally faster.
  8. GCI – Green Chlorophyll Index (from 0 to 7). This index is used to evaluate leaf chlorophyll content and is applicable for a wide range of plant species. It helps to measure the plant health as chlorophyll content decreases in stressed plants. Distribution is from light green to dark green on the map.
  9. SAVI – Soil adjusted vegetation index (from 0 to 1.5) minimizes the influences of soil brightness. Most useful at the beginning of the season when plants are separated or in rows and when the soil is clearly visible and to the mid-growth stage when plants are still not touching.
  10. OSAVI – Optimized soil adjusted vegetation index (from 0 to 1). It is best used in areas with relatively sparse vegetation and for crops in early to mid-growth stages. It is shown using a red to green legend.
  11. NDWI – Normalized Difference Water Index. It is used to differentiate water from dry land and for water body mapping. It is shown in shades of blue on the map.
  12. WDRVI – Wide Dynamic Range Vegetation Index (from -0.6 to 0.4). This index is used for a more sophisticated analysis of the crop physiological and phenological characteristics. It uses the same bands as the NDVI but applies an enhanced dynamic range.
  13. SBI – Soil Brightness Index. It is a proxy for soil organic matter, sands, and salinity areas, and is important for studying changes in soil conditions over time.