Satellite Imagery Analysis Use Cases
Identify Illegal Deforestation
Accessing images of the same place over time allows to track
changes – crucial to detect illegal deforestation. For example,
satellite imagery analytics technology using already helped
Brazilian Amazon rainforest not to be deforested.
Study Refugee Settlements
The growing number of displaced people worldwide has led to the
construction of new refugee camps and the expansion of existing
ones. There is a need to ensure the effective construction and
maintenance of these dwellings when it comes to the location of
shelters, water sources and other variables. Using satellite
imagery can optimize this process.
Help with rescue operations after natural catastrophes such as
floods or fires. Satellite imagery analytics allows you to get
reliable information about the state of the affected areas of
the planet in real time. More than that, in absence of physical
access to areas, satellite imagery allows to track the number of
people, affected infrastructure and fast response operations.
Economic Activity Maps
Using the AI model fused with regular survey data, it is
possible to estimate per capita consumption expenditures for any
place with daytime satellite imagery. This allows you to create
fine-grained poverty maps using dwelling type recognition.
Monitor Sea Traffic
Detecting invisible ships is an extremely important task.
Unregistered vessels can perform illegal activities such as
trafficking in people and goods. This allows to optimize and
understand supply chains over the businesses. Satellite imagery
can be useful in the case of aircrafts as well.
The detection of icebergs, which can be a dangerous obstacle to
marine activities, has become a much more convenient and
effective task with the advent of the possibility of using
images from space.
Satellite imagery analytics allows to track the roads,
constructions and transport schemas. Roads are easily detectable
from above with only 10-30 m resolution. AI models track the
network of roads, changes and new constructions. Distance of
roads and networks in relations to other assets (roads leading
to flooded areas, or post-disaster evacuation, or urban
planning) allows to build informative analytics.
Rivers, lakes, streams, oceans, coastal boundaries, parks, land
cover, and beaches can be easily recognized and classified using
satellite imagery even at lower resolution. The classic land
classifier is the common input to reduce the area of interest in
more insightful but requiring commercial high resolution imagery
Automatic building retrieval with the help of satellite imagery
can be used in various industries, such as land cover mapping,
urban planning, disaster management, and extracting information
about human settlement related to other economic activities.