Mapping Cherry Blossoms from Geotagged Street-Level Photos
Author:
Affiliation:
1. Hitachi Solutions,Sustainable City Business Division
2. Saitama University,Graduate school of Science & Engineering,Department of Information and Computer Sciences,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9883023/9883024/09884256.pdf?arnumber=9884256
Reference7 articles.
1. Lessons from citizen science: Assessing volunteer-collected plant phenology data with Mountain Watch
2. Declining phenology observations by the Japan Meteorological Agency
3. Review: advances in in situ and satellite phenological observations in Japan
4. Citizen science: best practices to remove observer bias in trend analysis
5. YOLOv4: Optimal Speed and Accuracy of Object Detection;bochkovskiy;ArXiv,2020
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Spatiotemporal Dynamic Changes and Prediction of Wild Fruit Forests in Emin County, Xinjiang, China, Based on Random Forest and PLUS Model;Sustainability;2024-07-11
2. Mapping cherry blossom phenology using a semi-automatic observation system with street level photos;Ecological Informatics;2023-12
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