Vegetation & NDVI for any plot in India
How green is this land, right now? Read vegetation density from the latest clear Sentinel-2 pass — always stamped with the day the satellite flew over.
Why vegetation cover matters — and why the date matters more
What is actually growing on a plot, and how much, is an honest satellite-backed sense-check of a listing before you visit.
A photograph in a listing was taken on a day someone chose. A satellite pass was not. NDVI reads the plot as it was on a specific morning, so you can see whether “lush farmland” is lush, whether “cleared and ready” is cleared, and how much of the surrounding land is green rather than built or bare.
But vegetation is seasonal, and that is the whole caveat. The same field reads dense after the monsoon and barren before sowing. A single NDVI number without its date is not a reading — so this tool always leads with the day the satellite flew over, and treats that date as part of the answer rather than a footnote.
What do these numbers mean?
NDVI describes vegetation density. It is not a score for the land — a barren reading is exactly what a builder wants and a dense one is what a farmer wants.
The Normalised Difference Vegetation Index over your plot, from −1 to +1. Below 0.1 is barren, 0.1–0.2 sparse, 0.2–0.4 moderate, above 0.4 dense green cover. Higher means denser, healthier vegetation.
The share of ground reading as genuine vegetation (NDVI above 0.3) — how much is actually green rather than bare or built — for the inner 500 m and the full 2.5 km around the plot.
Open-water surface — rivers, tanks, lakes — within 2.5 km. Water is punched out of the vegetation overlay and reported separately, so it is never mistaken for bare ground or counted as green cover.
The exact day the satellite flew over — one latest low-cloud Sentinel-2 pass at 10 m, not a seasonal average. The scene's own cloud cover is shown alongside, because a cloudy scene is a less certain reading.
How the analysis works
You mark the plot; we read the latest clear satellite pass over it.
You mark the plot
Draw the boundary, drop a pin, or paste an address. A pin is read over a small buffer; a drawn boundary is read over exactly the shape you drew.
We find the latest clear pass
The most recent low-cloud Sentinel-2 scene covering the plot is fetched on demand at 10 m, and NDVI is computed from its red and near-infrared bands.
You see the vegetation
NDVI at the plot with its band, green cover at 500 m and 2.5 km, open water nearby, and a colourised overlay on the map — all stamped with the pass date.
Methodology and data sources
Data sources
Sentinel-2 L2A (ESA Copernicus), 10 m, fetched on demand — a single latest low-cloud scene, not a composite. Open water from the Bhuvan SISDP land-use layer (NRSC/ISRO).
How NDVI is computed
NDVI = (NIR − Red) / (NIR + Red), per pixel, over the plot geometry. Mean and median are both reported: a median close to the mean means an evenly vegetated plot, while a large gap means part of it is bare and part is dense.
Green cover and water
Green cover is the share of pixels above NDVI 0.3 — the threshold at which ground reads as genuine vegetation rather than sparse scrub. It is computed over the same 2.5 km raster window as the overlay, which is why it arrives with the map rather than with the headline number. Open water is excluded from NDVI entirely, so a lake never counts as bare ground.
What it is not
One scene, one day — not a trend. A cloudy scene is a weaker reading, so the cloud percentage prints next to the date. NDVI cannot tell a crop from a weed, an orchard from scrub, or healthy vegetation from a flush of monsoon growth on otherwise poor land — and it says nothing about soil, title or value.