Meet Desidera -
Meet Desidera -
your all-in-one solution for climate risk
mitigation
Desidera is GreenAnt’s proprietary, AI-
powered platform that harnesses the power of
satellite data to transform climate risk
mitigation and precision land management. It
empowers users to optimize their operations,
accelerates the evolution of green markets,
and drives climate resilience through insights
on soil, crop yields, flooding, and more.
What is
Desidera?
Crop type, height, health,
growth stage, and future
yield forecasts
Flood levels, flood risk
forecasts, and drought
risk
Deforestation, forest
degradation, forest type, and
carbon sequestration
Soil moisture, soil
temperature, biodiversity
indicators, and more
What can Desidera analyze?
To produce these insights, Desidera analyzes satellite data with GreenAnt’s
proprietary set of AI algorithms. This technology has been developed for over 20
years and yields an accuracy of up to 95%
How can Desidera work for you?
Governments and NGOS
What makes Desidera different?
Desidera analyzes radar satellite data from satellites. Never heard of radar data? Unlike optical data, which are generated
through satellite-captured images, radar data are collected through signal pulses that satellites send to the ground. This is a
critical difference, as these radar signals cut through physical barriers—such as cloud coverage—that can impede the
collection of optical data. (In other words, a satellite photo can’t tell you much if it’s taken on a cloudy day; the land will be
too obscured by clouds.)
Island of Sumatra - Optical Data
Island of Sumatra - Radar Data
Our competitors’ data:
GreenAnt’s data:
Radar data “see” through clouds, tree coverage, pollution, and other visual obstructions.
Unlike optical satellite data, radar satellite data can be collected at any point in time regardless of weather conditions. This
is especially relevant in areas of the world that are cloudy or smoggy; Southeast Asia, for example, experiences an average
of 300 cloudy days a year.
Not only are radar data more reliable than optical data, they’re also more nuanced.
Radar signals can tell us much more about a given area of land than a picture can. The two photos below demonstrate how
radar data processed by GreenAnt’s proprietary software (right) and optical data analysis (left) measure deforestation in an
area of Suriname.
Radar data can register all sorts of other exciting indicators about objects on the ground—it can recognize crop type and
crop height; it can also penetrate soil and yield information about soil temperature and moisture. These are data points that
cannot be extrapolated from a mere image taken by a satellite. Ultimately, Desidera’s insights, which are fueled by radar
data, are both more reliable and more nuanced than solutions that are based on optical data.
Our competitors’ analysis:
GreenAnt’s analysis:
You’ll see that, in the lefthand photo, the only deforestation that optical data can identify is a total clear-cutting of the forest
—in this case, to build a road. In other words, an image can only show where trees have been completely cleared away.
Radar data, on the other hand, “sees” through the tree tops to identify clearing of biomass on the ground that occurs below
the screen of branches and leaves. In the righthand picture above, GreenAnt’s data analysis not only shows the same
roads being built as those portrayed in the lefthand photo, but also lighter green swaths around these roads that indicate
further logging activity and cutting of biomass below the canopy level. This is called forest degradation as opposed to
deforestation. Radar data, then, tell a much more comprehensive story of what’s occurring on the ground.
The same principles apply with other types of analyses—with radar satellite data, Desidera can monitor crops that are
grown on the forest floor below the canopy. Similarly, Desidera can also monitor flooding that occurs below the tree line.
Optical Data
Radar Data