SIMPLIFYING SAR FOR AI DEVELOPMENT

AI4SAR

Simplifying SAR for AI development.
ICECUBE: An open source python library for SAR-based machine learning.

build your icecube (GitHub)

At ICEYE Analytics, we are keen on building AI/ML applications for heavy-duty image processing and scalable analytics. The European Space Agency (ESA) Φ-lab presented us with an opportunity to lower the entry barrier to SAR-based ML applications. Due to the combination of our internal objectives and this fantastic ESA opportunity, we’ve begun to develop an open source Python library to easily enable ML exploration of ICEYE SAR images.

The ICEcube array handling library is our first step to lower the SAR barrier to entry. This library abstracts, yet persists, some of the metadata handling and optimizes array manipulation and memory usage through xarray data structures.

TIME SERIES ANALYSIS

Time-series stacks of coregistered SAR images help us appreciate the true weight of the challenge at hand. SAR is the only EO technology that can consistently and with high precision enable the quantification of change over time. High-temporal resolution and persistence under cloud cover create opportunities to study the dynamics (manmade or natural) of the Earth regardless of season. Unsanctioned deforestation can no longer be hidden in the rainy season.