One click on the map, and Naturametrics draws five circles around it and reads fifteen crop inventories, the age of every forest stand and twenty-five years of tree-cover loss inside each. This walkthrough opens a real point in the forest above Kelowna, step by step, with where each number comes from and where it stops.
Loading the example point's analysis…
measured computed from satellite imagery or from the geometry itself. estimated a modelled product, with a larger error than the land-use map. missing a layer that did not respond this time.
Naturametrics does not need a property line. A click, an address, a postal code or a coordinate is enough: the analysis is built around the point, so it works the same on a farm, a park, Crown land or a backyard.
In the app: the Search box on the Canada page, a click on the map, or a direct link with
/canada?lat=…&lon=….
Every analysis runs five times, in circles of 0.5, 1, 2, 5 and 10 km. The small ones say what is at the point; the large ones, what the landscape around it is like. Each circle contains the smaller ones, so the 10 km circle is the whole picture and the 0.5 km one is the close-up.
In the app: the Radius selector above the charts, and the circles on the map.
Agriculture and Agri-Food Canada's Annual Crop Inventory classifies every 30 m pixel each year, forests and towns as well as crops. Each column is one year in the 5 km circle, from 2011, when the inventory first covered all of Canada.
In the app: the Crop inventory history chart, and the Annual Crop Inventory layer with its year selector.
The same series as the share of each circle that is natural vegetation: forest, wetland, grassland and shrub. When the small circles stay green and the large ones fall, the point sits in a remnant inside a changing landscape.
In the app: the Crop inventory history chart with the % button, changing radius.
Before any circle, one pixel: the 30 m square under the click, year by year. It is the sharpest reading and the most fragile, because a single misclassified year shows up as a change.
In the app: the clicked pixel's class, year by year, is the first sheet of the point spreadsheet (Download data).
The national forest monitoring system (NTEMS, Canadian Forest Service) maps the age of every forested 30 m pixel in 2019, from three decades of Landsat disturbance and regrowth. Young stands are the ones that burned or were logged; stands over a century old are what was left standing.
In the app: the Forest age chart, Age at the clicked pixel, and the Stand age layer.
Hansen/GLAD maps the 30 m pixels that lost their tree cover each year since 2001, and flags, without a date, the ones that gained it. Counting canopy above 30% as forest, the loss in each circle is set against the forest it had in 2000.
In the app: the Forest change chart, the Loss and gain layer, and the Forest threshold control.
Loss by year, inside the 5 km circle. In the Okanagan, a tall column is almost always fire or salvage logging after fire. Hansen dates a pixel by the year the loss was first seen, so a late-summer fire often lands partly in the next year.
In the app: the Forest change chart, and Loss from year on the layer.
Each analysis keeps its source, scale and time of calculation, and the export carries them with the numbers: a reading of a landscape is only worth what it takes to reproduce it.
In the app: the Download data button: an ODS spreadsheet with one sheet per table.
More examples:
Myra-Bellevue (BC), this page's example ·
West Kelowna (BC), the 2023 McDougall Creek fire ·
Okanagan Mountain Park (BC), the 2003 fire ·
Kamloops (BC), grassland.
Pass any coordinate in Canada south of 58° N (?lat=…&lon=…); the numbers come from the app's own services.
Versão em português (com um conglomerado do Brasil).
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