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Fingerprint Dive into the research topics where Joon Heo is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Geographic information systems Engineering & Materials Science
Lasers Engineering & Materials Science
Scanning Engineering & Materials Science
Remote sensing Engineering & Materials Science
Information systems Engineering & Materials Science
Glaciers Engineering & Materials Science
Satellites Engineering & Materials Science
laser Earth & Environmental Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1997 2019

A framework development for mapping and detecting changes in repeatedly collected massive point clouds

Yoon, S., Ju, S., Park, S. & Heo, J., 2019 Jan 1, p. 603-609. 7 p.

Research output: Contribution to conferencePaper

Scanning
Lasers
Monitoring
Semantics
Robots

A sensitive band to optimize winter wheat crop residue cover estimation by eliminating moisture effect

Wang, Y., Zhao, S., Cai, W., Heo, J. & Peng, F., 2019 Jun 1, In : Sustainability (Switzerland). 11, 11, 3032.

Research output: Contribution to journalArticle

Open Access
crop residue
Crops
Moisture
wheat
moisture
1 Citation (Scopus)

Descriptive and predictive modeling of student achievement, satisfaction, and mental health for data-driven smart connected campus life service

Heo, J., Lim, H., Yun, S. B., Ju, S., Park, S. & Lee, R., 2019 Mar 4, Proceedings of the 9th International Conference on Learning Analytics and Knowledge: Learning Analytics to Promote Inclusion and Success, LAK 2019. Association for Computing Machinery, p. 531-538 8 p. (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Service life
Health
Students
Innovation
Data acquisition

Estimation of winter wheat residue coverage using optical and SAR remote sensing images

Cai, W., Zhao, S., Wang, Y., Peng, F., Heo, J. & Duan, Z., 2019 May 1, In : Remote Sensing. 11, 10, 1163.

Research output: Contribution to journalArticle

Open Access
crop residue
synthetic aperture radar
wheat
remote sensing
winter
1 Citation (Scopus)

Regional-scale rice-yield estimation using stacked auto-encoder with climatic and MODIS data: a case study of South Korea

Ma, J. W., Nguyen, C. H., Lee, K. & Heo, J., 2019 Jan 2, In : International Journal of Remote Sensing. 40, 1, p. 51-71 21 p.

Research output: Contribution to journalArticle

artificial neural network
MODIS
rice
learning
alternative agriculture

Press / Media

Does Gangnam style really exist? New research using Azure aims to find out

Joon Heo

14/1/16

1 item of Media coverage

Press/Media: Press / Media