REAL-TIME SURFACE
01 / OVERVIEW
A living surface of data
Each pixel has a value e.g.,: elevation, cover and land use change, stored in one multidimensional raster grid.
02 / SENSING
Sites & geospatial analysis
Monitoring sites can feed or calibrate the final grid of pixel values from: vegetation plots, soil cores, flux towers e.t.c where every node is a measurement with coordinates.
03 / MEASURING
Every cell counts
Grid of pixels turns to landscape of numbers. Each pixel (in this example) rises with its value e.g.,: water, vegetation, cropland and land use change over space and time just to name a few values.
04 / ANALYSIS
Overlay, mosaic, map algebra
Finding relationships between pixel value´s we start to see an "abstract" version of reality, one we might actually understand
05 / OUTPUT
Billions of pixels
Layer by layer (grids), operations like map algebras, overlay analysis where different types of classified values become something else, the surface becomes either a source of useful classification or a false one, both results are still, just as useful!
Numbers you can stand inside
Every pixel carries a value: In this image pixels are rendered as height, the whole area therefore becomes a landscape of measurement.
Related pixels. Shared values
These newly discovered story´s of family relations between pixels can reveal al lot about natural processes and before you know, you must ask your self "How far down the rabbit hole am I willing to go"
OUTPUT
GIS is a tool to simplify reality to recognise patterns we would otherwise miss.
Searching for trends often ends up with new questions
READ THE NID REPORTS →