Ankit Kariryaa
Postdoc, Tenure Track Assistant Professor
Machine Learning
Universitetsparken 1, 2100 København Ø, 06 Område VI, Building: 06-2-601
Geography 2
Øster Voldgade 10
1350 København K
Member of:
11 - 12 out of 12Page size: 10
- Published
Predicting urban tree cover from incomplete point labels and limited background information
Zhang, Hui, Kariryaa, Ankit, Guthula, Venkanna Babu, Igel, Christian & Oehmcke, Stefan, 2023, Urban-AI 2023 - Proceedings of the 1st ACM SIGSPATIAL International Workshop on Advances in Urban-AI. Omitaomu, O. A., Mostafavi, A. & Liu, Y. (eds.). Association for Computing Machinery, Inc., p. 52-60Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Deep learning for mapping water bodies in the Sahel
de FLEURY, M., Kergoat, L., Brandt, Martin Stefan, Fensholt, Rasmus, Kariryaa, Ankit, Kovács, Gyula Mate, Horion, Stéphanie & Grippa, M., 2023. 1 p.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
ID: 252281424
Most downloads
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106
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Deep learning enables image-based tree counting, crown segmentation and height prediction at national scale
Research output: Contribution to journal › Journal article › Research › peer-review
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60
downloads
Nation-wide mapping of tree-level aboveground carbon stocks in Rwanda
Research output: Contribution to journal › Journal article › Research › peer-review
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46
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Sub-continental-scale carbon stocks of individual trees in African drylands
Research output: Contribution to journal › Journal article › Research › peer-review
Published