# Satellite Monitoring

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GeoPard satellite imagery and vegetation analysis. Raw satellite image vs. upsampled vs. contrast stretching. Field and regional level.
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**Earth Observation** starts with solid data preparation, including obstacle detection (clouds, shadows) and advanced imagery processing.

GeoPard provides access to a 30+ year archive of processed, calibrated, and cleaned satellite imagery, with detailed views calculated for every 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.

GeoPard includes raw Sentinel-2 imagery and an upsampled version (<1 m resolution) enhanced through contrast stretching across 20 satellite imagery indices.

All are available in the GeoPard basic monitoring package.

**Satellite imagery provided by GeoPard**

<table><thead><tr><th width="104">Provider</th><th width="129">Satellites</th><th width="79">Coverage</th><th width="84">Global</th><th width="126">Frequency</th><th width="118">Raw pixel</th><th width="144">GeoPard pixel</th></tr></thead><tbody><tr><td><strong>USGS/NASA</strong></td><td>Landsat 5-9</td><td>Since 1988</td><td>Yes</td><td>Every 8 days (2 satellites)</td><td>30m</td><td>1m</td></tr><tr><td><strong>ESA</strong></td><td>Sentinel-2</td><td>Since 2015</td><td>Yes</td><td>Every 5 days</td><td>10m</td><td>1m</td></tr><tr><td><strong>Planet Labs</strong></td><td>PlanetScope</td><td>Every day, since 2020</td><td>Yes</td><td>±Every day</td><td>3.7m</td><td>1m</td></tr></tbody></table>

* **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.

<figure><img src="/files/6hHYlpBMSIESPNDbk8gA" alt=""><figcaption><p>Sentinel-2 vs Planet Scope. Both processed by GeoPard, upsampled to 1m. Near-Infrared vs Contrast NDVI.</p></figcaption></figure>

You can use it for:

* Accurate change detection and early anomaly detection
* Crop monitoring
* Damage assessment (flood, hail, lodging)
* Yield prediction
* Variable-rate application maps based on multi-layer zoning or agronomic equations
* Deforestation detection

### Controls and Filters <a href="#controls-and-filters" id="controls-and-filters"></a>

GeoPard has the following controls and filters for satellite data:

1. Compare layers – allows comparing criteria analytics side by side in a split view
2. Cloud drop-down list with the following values:

* Cloud-free – shows only cloudless images
* Partially cloudy – adds partially cloudy images
* All images (default) – shows all available satellite images

3. Provider filter – lets you filter images by provider (Sentinel, Planet, or Landsat)
4. Month and Year filters – allow filtering satellite images by month or year
5. Satellite monitoring section – shows each satellite image with:

* Date
* Cloud indicator (partially cloudy or cloudy, if selected)
* 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:

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)
10. New - Contrast Image - colors based on the statistics for the selected index within the field boundary

### &#x20;<a href="#vegetation-indices" id="vegetation-indices"></a>


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