Urban heat islands, flooding risk and air quality are all measurably worse in cities that have lost tree canopy. Municipal planners rarely know where that loss is happening in real time — street surveys are slow, costly and patchy, and third-party satellite products bundle dozens of cities together with no guarantee of update cadence or local calibration. The result is that policy is driven by data that is months or years stale, and enforcement of tree-protection bylaws is essentially blind.
A sovereign multispectral constellation closes that gap. Shortwave infrared and near-infrared bands resolve canopy health, species groupings and the leaf-area index needed to model evapotranspiration and shade. Red-edge channels separate stressed canopy from healthy canopy before visible decline sets in, allowing early intervention. At 3–5m spatial resolution, individual street trees in dense urban fabric are distinguishable, and change-detection runs automatically against each new pass.
The operational payoff is direct and politically visible. Planning authorities receive a quarterly canopy account — hectares gained, lost and stressed — broken down by ward, by income decile and by proximity to schools and hospitals. That account feeds tree-replacement orders, development-consent conditions and the city's biodiversity net-gain ledger. Because the data is sovereign, it can be cross-referenced with the land-title register and tax cadastre without any data-sharing agreement with a foreign commercial provider.