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RESEARCH

Goal 15: Life on land

2024

Enhancing Satellite-based Wildfire Monitoring: Advanced Contextual Model Using Environmental and Structural Information

Sung, Taejun; Kang, Yoojin; Im, Jungho

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Insights into Canopy Escape Ratio from Canopy Structures: Correlations Uncovered through Sentinel-2 and Field Observation

Lee, Junghee; Im, Jungho; Lim, Joongbin; Kim, Kyungmin

FORESTS, 15(4), 665

Two-step carbon storage estimation in urban human settlements using airborne LiDAR and Sentinel-2 data based on machine learning

Lee, Yeonsu; Son, Bokyung; Im, Jungho; Zhen, Zhen; Quackenbush, Lindi J

URBAN FORESTRY & URBAN GREENING, v.94, pp.128239

Mitigating underestimation of fire emissions from the Advanced Himawari Imager: A machine learning and multi-satellite ensemble approach

Kang, Yoojin; Im, Jungho

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, v.128, pp.103784

Quantitative assessment of the scale conversion from instantaneous to daily GPP under various sky conditions based on MODIS local overpassing time

Lee, Junghee; Im, Jungho

GISCIENCE & REMOTE SENSING, v.61, no.1, pp.2319372

Understanding the impact of forest fires on ambient air quality
Kang, Yoojin; Choi, Hyunyoung; Kim, Yejin; Im, Jungho
Korean Society for Air Quality, v.40, no.1, pp.103-117

2023

항공 라이다와 딥러닝 기반 도시 수목 지도를 이용한 개별 도시 수목 탐지
이연수; 손보경; 임정호
대한원격탐사학회지, 39(5-4), pp.1145-1153

Himawari-8 정지궤도 위성 영상을 활용한 딥러닝 기반 산불 탐지의 효율적 방안 제시
이시현; 강유진; 성태준; 임정호
대한원격탐사학회지, 39(5-3), pp.979-995

기계학습을 이용한 광학 위성 영상 기반의 도시 내 수목 피복률 추정
배세정; 손보경; 성태준; 이연수; 임정호; 강유진
대한원격탐사학회지, 39(5-3), pp.1009-1029

Toward an adaptable deep-learning model for satellite-based wildfire monitoring with consideration of environmental conditions
Kang, Yoojin; Sung, Taejun; Im, Jungho
REMOTE SENSING OF ENVIRONMENT, v.298, pp.113814

2022

A deep learning model using geostationary satellite data for forest fire detection with reduced detection latency
Kang, Yoojin; Jang, Eunna; Im, Jungho; Kwon, chungeun
GISCIENCE & REMOTE SENSING, v.59, no.1, pp.2019 - 2035

기계학습 기반의 산불위험 중기예보 모델 개발
박수민; 손보경; 임정호; 강유진; 권춘근; 김성용
대한원격탐사학회지, 38(5-2), pp.781-791.

Landsat 8/9 및 Sentinel-2 A/B를 이용한 울진 산불 피해 탐지: 다양한 지수를 기반으로 다시기 분석
김병철; 이경일; 박선영; 임정호
대한원격탐사학회지, 38(5-2), pp.765-779.

2021

광학위성영상을 이용한 기계학습/PROSAIL 모델 기반 엽면적지수 추정
이재세; 강유진; 손보경; 임정호; 장근창
대한원격탐사학회지, , v.37, no.6-1, pp.1719 - 1729

Sentinel-1 SAR 영상을 이용한 주성분분석 및 K-means Clustering 기반 산불 탐지
이재세; 김우혁; 임정호; 권춘근; 김성용
대한원격탐사학회지, v.37, no.5, pp.1373-1387

A new drought monitoring approach: Vector Projection Analysis (VPA)
Son, Bokyung; Park, Sumin; Im, Jungho; Park, Seohui; Ke, Yinghai; Quackenbush, Lindi J.
REMOTE SENSING OF ENVIRONMENT, v.252, pp.112145

2020

Short-Term Forecasting of Satellite-Based Drought Indices Using Their Temporal Patterns and Numerical Model Output
Park, Sumin; Im, Jungho; Han, Daehyeon; Rhee, Jinyoung
REMOTE SENSING, v.12, no.21, pp.3499

Developing a New Hourly Forest Fire Risk Index Based on Catboost in South Korea
Kang Yoojin; Jang, Eunna; Im, Jungho; Kwon, Chungeun; Kim, sungyong
APPLIED SCIENCES-BASEL, v.10, no.22, pp.8213

Sentinel 위성영상과 기계학습을 이용한 국내산불 피해강도 탐지
심성문; 김우혁; 이재세; 강유진; 임정호; 권춘근; 김성용
대한원격탐사학회지, v.36, no.5, pp.1109-1123

Recent ENSO influence on East African drought during rainy seasons through the synergistic use of satellite and reanalysis data
Park, Seonyoung; Kang, Daehyun; Yoo, Cheolhee; Im, Jungho; Lee, Myong-In
ISPRS PHOTOGRAMMETRY AND REMOTE SENSING, 162, 17-26

2019

Development of Satellite-based Drought Indices for Assessing Wildfire Risk
박수민; 손보경; 임정호; 이재세; 이병두; 권춘근
대한원격탐사학회지, v.35, no.6, pp.1285 - 1298

Delineation of high resolution climate regions over the Korean Peninsula using machine learning approaches

Park, Sumin; Park, Haemi; Im, Jungho; Yoo, Cheolhee; Rhee, Jinyoung; Lee, Byungdoo; Kwon, ChunGeun

PLOS ONE, v.14, no.10, pp.e0223362

Improvement of satellite-based estimation of gross primary production through optimization of meteorological parameters and high resolution land cover information at regional scale over East Asia
Park, Haemi; Im, Jungho; Kim, Miae
AGRICULTURAL AND FOREST METEOROLOGY, v.271, pp.180 - 192

2018

Machine Learning Approaches for Estimating Forest Stand Height Using Plot-Based Observations and Airborne LiDAR Data
Lee, Junghee; Im, Jungho; Kim, Kyungmin; Quackenbush, Lindi J.
FORESTS, v.9, no.5, pp.268 -

2017

Drought monitoring using high resolution soil moisture through multi-sensor satellite data fusion over the Korean peninsula
Park, Seonyoung; Im, Jungho; Park, Sumin; Rhee, Jinyoung
AGRICULTURAL AND FOREST METEOROLOGY, v.237-238, no., pp.257 - 269

Downscaling GLDAS Soil Moisture Data in East Asia through Fusion of Multi-Sensors by Optimizing Modified Regression Trees
Park, Seonyoung; Park, Sumin; Im, Jungho; Rhee, Jinyoung; Shin, Jinho; Park, Jun Dong
WATER, 9(5), p.332.

2016

Downscaling of AMSR-E soil moisture with MODIS products using machine learning approaches
Im, Jungho; Park, Seonyoung; Rhee, Jinyoung, et al
ENVIRONMENTAL ERATH SCIENCES, v.75, no.15, pp.1120 -

Drought assessment and monitoring through blending of multi-sensor indices using machine learning approaches for different climate regions
Park, Seonyoung; Im, Jungho; Jang, Eunna, Rhee, Jinyoung
AGRICULTURAL AND FOREST METEOROLOGY, v.216, no., pp.157 - 169

(The content of this publication has not been approved by the United Nations and does not reflect the views of the United Nations or its officials or Member States.)

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