Presentation 2019-09-13
Developing an algorithm to estimate snow depth via AMeDAS observation environment monitoring camera
Tomofumi Kitamura, Kenji Kobayashi, Yoshinori Mizuno, Masato Mori, Shinichi Miyatake, Kazuyuki Shibuya,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We have been developing a snow depth estimation algorithm using an observation environment monitoring camera that will be installed for the purpose of managing the AMeDAS observatory. In this study, we have introduced the AI models used for snow depth estimations and the method of creating training data.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Snow depth / Image Analysis / Machine Learning / Weather Observation / AMeDAS
Paper # AI2019-22
Date of Issue 2019-09-06 (AI)

Conference Information
Committee AI
Conference Date 2019/9/13(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Naoki Fukuta(Shizuoka Univ.)
Vice Chair Yuichi Sei(Univ. of Electro-Comm.) / Yuko Sakurai(AIST)
Secretary Yuichi Sei(Osaka Univ.) / Yuko Sakurai(Tokyo Univ. of Agriculture and Technology)
Assistant

Paper Information
Registration To Technical Committee on Artificial Intelligence and Knowledge-Based Processing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Developing an algorithm to estimate snow depth via AMeDAS observation environment monitoring camera
Sub Title (in English)
Keyword(1) Snow depth
Keyword(2) Image Analysis
Keyword(3) Machine Learning
Keyword(4) Weather Observation
Keyword(5) AMeDAS
1st Author's Name Tomofumi Kitamura
1st Author's Affiliation Japan Meteorological Agency(JMA)
2nd Author's Name Kenji Kobayashi
2nd Author's Affiliation Japan Meteorological Agency(JMA)
3rd Author's Name Yoshinori Mizuno
3rd Author's Affiliation Meteorological Research Institute(MRI)
4th Author's Name Masato Mori
4th Author's Affiliation Japan Meteorological Agency(JMA)
5th Author's Name Shinichi Miyatake
5th Author's Affiliation Japan Meteorological Agency(JMA)
6th Author's Name Kazuyuki Shibuya
6th Author's Affiliation Japan Meteorological Agency(JMA)
Date 2019-09-13
Paper # AI2019-22
Volume (vol) vol.119
Number (no) AI-202
Page pp.pp.19-24(AI),
#Pages 6
Date of Issue 2019-09-06 (AI)