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From simple labels to semantic image segmentation: leveraging citizen science plant photographs for tree species map** in drone imagery
Abstract Knowledge of plant species distributions is essential for various application fields,
such as nature conservation, agriculture, and forestry. Remote sensing data, especially high …
such as nature conservation, agriculture, and forestry. Remote sensing data, especially high …
[HTML][HTML] Can open access weeds occurrences across the European Union become a proxy for agricultural intensification?
Diverse communities of arable plants contribute to the long-term sustainability of
agroecosystems and support a large variety of ecosystem services. Agricultural …
agroecosystems and support a large variety of ecosystem services. Agricultural …
Counting butterflies—are old-fashioned ways of recording data obsolete?
E Kühn, A Harpke, T Schmitt, J Settele… - Journal of Insect …, 2024 - Springer
Citizen Science projects aim to make data entry as easy as possible and often provide
online data recording or data recording with an App. However, many participants cannot or …
online data recording or data recording with an App. However, many participants cannot or …
[PDF][PDF] Remote sensing and machine learning-based solutions for ecosystem management and the provision of large-scale and long-term vegetation information
C Schulz - 2025 - depositonce.tu-berlin.de
Global change is deeply connected to forest decline and biodiversity loss. To map and
monitor these processes across spatial and temporal scales, vegetation information …
monitor these processes across spatial and temporal scales, vegetation information …
Florid–a Nationwide Identification Service for Plants from Photos and Habitat Information
Citizen science has become key to biodiversity monitoring but critically depends on accurate
quality control that is scalable and tailored to the focal region. We developed FlorID, a free-to …
quality control that is scalable and tailored to the focal region. We developed FlorID, a free-to …