The Environmental Geoinformatics Lab. (EGLab) in the Dept. of Geoinformatic Engineering of Inha University conducts interdisciplinary research on geo-modeling and quantitative analysis of environmental space-time process using geostatistics, remote sensing, machine learning/AI, and GIScience.
The main research focuses on the development of advanced geo-modeling algorithms based on geostatistics/spatial statistics and machine learning/AI, as well as related applications to environmental monitoring, thematic mapping, and prediction modeling in interdisciplinary application fields (Earth Science, Geography, Agriculture, Environment, Hydrology, Ecology, Geophysical Exploration, and Public Health).
E-mail: nwpark at inha.ac.kr (Prof. Park)
[2021.04] Paper Published in Remote Sensing
곽근호 박사과정 학생이 제1저자로 참여한 딥러닝 기반 작물분류 논문이 Remote Sensing 저널에 출판되었습니다.
Geun-Ho Kwak, Chan-won Park, Kyung-do Lee, Sang-il Na, Ho-yong Ahn, and No-Wook Park, 2021. Potential of hybrid CNN-RF model for early crop mapping with limited input data, Remote Sensing, 13(9), 1629.