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EO Research

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Automatic field delineation: New release

We have released an improved version of our automatic field delineation algorithm for Sentinel-2 imagery, with an improved workflow and…

Sep 25, 2023

Automatic field delineation: New release

Sep 25, 2023

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Planet Stories

Utility of AI4Boundaries and EuroCrops as training datasets for field delineation

Leveraging GSAA datasets for field delineation

Aug 2, 2023

Utility of AI4Boundaries and EuroCrops as training datasets for field delineation

Aug 2, 2023

Published in
Planet Stories

Challenges of large open-source datasets for building detection in Africa

Tips, tricks and warnings when creating a building detection machine learning model using open-source reference data.

Apr 18, 2023

Challenges of large open-source datasets for building detection in Africa

Apr 18, 2023

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Planet Stories

How to Co-Register Temporal Stacks of Satellite Images

Written by Devis Peressutti. Work performed by Nejc Vesel, Matic Lubej, Nika Oman Kadunc, Matej Batič, Sara Verbič, Žiga Lukšič, Jan Geršak…

Jan 18, 2023

How to Co-Register Temporal Stacks of Satellite Images

Jan 18, 2023

Published in
Planet Stories

How To Normalize Satellite Images For Deep Learning

Tackling the long-tailed satellite imagery data for deep learning applications

Sep 27, 2022

How To Normalize Satellite Images For Deep Learning

Sep 27, 2022

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Planet Stories

The value of super resolution — real world use case

Parcel boundary detection with super-resolved satellite imagery

Jun 28, 2022

The value of super resolution — real world use case

Jun 28, 2022

Published in
Planet Stories

HIECTOR: Hierarchical object detector at scale

Introducing an open-source hierarchical object detection workflow for satellite imagery at large scale.

May 5, 2022

HIECTOR: Hierarchical object detector at scale

May 5, 2022

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Planet Stories

The most misunderstood words in Earth Observation

Spatial resolution. We think we know what it means, but do we really? We wrote the following rant to clarify some confusion and make life…

Mar 31, 2022

Zoom-in of the calibration targets for the PAN and MS detectors of Pleiades (two leftmost pictures) and SPOT (two rightmost pictures). With these targets it is easier to appreciate the difference in spatial resolution of the detectors. The Siemens Star (target on the lower right of each picture) allows to estimate the spatial resolution by measuring the radius at which the aliasing effect is visible. MTF can be computed from the slanted edge target.

Mar 31, 2022

Published in
Planet Stories

Area Monitoring — using Geotagged photo app to communicate with farmers

For area monitoring to benefit the society, it is essential to engage with all stakeholders.

Nov 15, 2021

Area Monitoring — using Geotagged photo app to communicate with farmers

Nov 15, 2021

Published in
Planet Stories

Multi-temporal Super-Resolution on Sentinel-2 Imagery

Deep dive into enhancing the spatial resolution using deep learning, including tips, tricks and technical details.

May 18, 2021

Multi-temporal Super-Resolution on Sentinel-2 Imagery

May 18, 2021

EO Research

EO Research

A joint account for a team of data scientists from Ljubljana, Slovenia. Working with satellite imagery and developing Sentinel Hub applications at Sinergise.

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