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See your field from space
Pick a point on your farm. See the newest clear Sentinel-2 picture of the land around it, a greenness map, and how green that spot has been over the last 12 months.
1. Choose your point
Your browser asks before sharing your location. Stand in the field for the best result.
2. Your land from space
Tap the picture to move the point. The square is the 100 m patch used for the curve below. Blank patches on the greenness map are cloud, cloud shadow or water, which the satellite cannot read.
Area shown: about 1 km × 1 km. True colour: 10 m pixels. Greenness: 20 m pixels.
What the number means: about 0.1 to 0.2 is bare or dry soil, 0.3 to 0.5 is sparse or young crop, above 0.6 is dense green leaf. Compare your field with its own past, not with someone else's crop.
3. Greenness of your square, last 12 months
Each dot is one clear satellite pass. Grey marks along the bottom are passes when cloud or shadow covered the square.
Some older passes could not be read in time; the curve may start later than 12 months ago. Reload in a minute to fill it in.
Show the readings as a table
| Date | Greenness (NDVI) | Sky over the square |
|---|
What this can and cannot show
- Each pixel is 10 m or 20 m across, larger than one tree. A 100 m square can include a road, a well or your neighbour's field.
- The satellite passes every 2 to 5 days, but cloud hides the ground. In the monsoon there can be weeks without a clear view.
- Greenness shows how much green leaf there is, not why. A drop can be harvest, pruning, water stress, pests or a cloud the mask missed.
- This is a picture, not advice. Our weekly WhatsApp message reads your own field boundary and tells you what to check.
The point you choose is sent to our server only to fetch the pictures. We do not store it or link it to you. Our host keeps standard request logs for a short time.
How the numbers are made
Same method as our weekly advice: Sentinel-2 Level-2A surface reflectance; greenness (NDVI) from the red (B04) and narrow near-infrared (B8A) bands on the 20 m grid; the scene classification layer (SCL) keeps only vegetation and bare-soil pixels; scenes over 90 % cloud are skipped; a reading needs at least 15 of the 25 pixels in the square to be clear.
Contains modified Copernicus Sentinel-2 data, processed by VarshaKrishi. Images from Element 84 Earth Search (AWS Open Data), collection sentinel-2-c1-l2a.
Want a message like this about your field every week?
VarshaKrishi reads the satellite pixels inside your own field boundary, every week, and sends one short message in Marathi, Hindi or English.