Matej Batič
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Author Swipe
Lossy Neural Compression for Geospatial Analytics: A review Open
International audience
Agricultural Field Delineation Using Satellite Imagery Open
Defining the borders of agricultural fields is fundamental for precision agriculture and one of the key parts of the new European Agricultural Policy. The agricultural fields’ boundaries are basic building blocks for monitoring agricultura…
eo-grow - Earth Observation framework for scaled-up processing in Python Open
Analysing EO data is a complex process, and solutions often require custom tailored algorithms. On top of that, in the EO domain most problems come with an additional challenge: How can the solution be applied on a large scale? Within the …
AI4Boundaries: an open AI-ready dataset to map field boundaries with Sentinel-2 and aerial photography Open
Field boundaries are at the core of many agricultural applications and are a key enabler for the operational monitoring of agricultural production to support food security. Recent scientific progress in deep learning methods has highlighte…
AI4Boundaries: an open AI-ready dataset to map field boundaries with Sentinel-2 and aerial photography Open
Field boundaries are at the core of many agricultural applications and are a key enabler for operational monitoring of agricultural production to support food security. Recent scientific progress in deep learning methods has highlighted th…
The Φ-Sat-1 Mission: The First On-Board Deep Neural Network Demonstrator for Satellite Earth Observation Open
Artificial intelligence is paving the way for a new era of algorithms focusing directly on the information contained in the data, autonomously extracting relevant features for a given application. While the initial paradigm was to have the…
LandSense: Coupling citizen science and earth observation data to promote environmental monitoring Open
The Horizon 2020 project, LandSense, is a modern citizen observatory for Land Use & Land Cover (LULC) monitoring, that connects citizens with Earth Observation (EO) data to transform current approaches to environmental decision making. Cit…
Citizen Science and Personal Data Protection Open
This paper introduces the issues, lessons learned and best practices from the perspective of the H2020 LandSense project. LandSense, is a modern citizen observatory for Land Use & Land Cover (LULC) monitoring, connecting citizens with Eart…
Agricultural Monitoring in Vojvodina, Serbia Open
This dataset had been collected during the LandSense agricultural demonstration pilot, which focuses on leveraging the power of Earth Observation (EO) systems and advanced crowdsourcing techniques to deliver value added services to Europea…
Agricultural Monitoring in Vojvodina, Serbia Open
This dataset had been collected during the LandSense agricultural demonstration pilot, which focuses on leveraging the power of Earth Observation (EO) systems and advanced crowdsourcing techniques to deliver value added services to Europea…
Natural color representation of Sentinel-2 data Open
The true color composite is a widely used Earth observation product for displaying satellite imagery. As it is often used in communication with non-expert audiences in various media, it is desirable that such a product approximates the col…
The LandSense Engagement Platform: Connecting citizens with earth observation data to promote environmental monitoring Open
The Horizon 2020 project, LandSense, is building a modern citizen observatory for Land Use & Land Cover (LULC) monitoring, by connecting citizens with Earth Observation (EO) data to transform current approaches to environmental decision ma…