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Meteorological drought forecasting for ungauged areas based on machine learning: Using long-range climate forecast and remote sensing data

Agricultural and forest meteorology, 2017-05, Vol.237-238, p.105-122

2017

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Drought assessment and monitoring through blending of multi-sensor indices using machine learning approaches for different climate regions

Agricultural and forest meteorology, 2016-01, Vol.216 (15), p.157-169

2016

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Monitoring agricultural drought for arid and humid regions using multi-sensor remote sensing data

Remote sensing of environment, 2010-12, Vol.114 (12), p.2875-2887

2010

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Building type classification using spatial and landscape attributes derived from LiDAR remote sensing data

Landscape and urban planning, 2014-10, Vol.130, p.134-148

2014

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Classification and Mapping of Paddy Rice by Combining Landsat and SAR Time Series Data

Remote sensing (Basel, Switzerland), 2018-03, Vol.10 (3), p.447

2018

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Short-Term Forecasting of Satellite-Based Drought Indices Using Their Temporal Patterns and Numerical Model Output

Remote sensing (Basel, Switzerland), 2020-11, Vol.12 (21), p.3499

2020

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Detecting hydrological droughts in ungauged areas from remotely sensed hydro-meteorological variables using rule-based models

Natural hazards (Dordrecht), 2020-09, Vol.103 (3), p.2961-2988

2020

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Relationship between land cover patterns and surface temperature in urban areas

GIScience and remote sensing, 2014-09, Vol.51 (5), p.521-536

2014

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

PloS one, 2019-10, Vol.14 (10), p.e0223362-e0223362

2019

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Drought Prediction for Areas with Sparse Monitoring Networks: A Case Study for Fiji

Water (Basel), 2018-06, Vol.10 (6), p.788

2018

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Advancing sub-seasonal to seasonal multi-model ensemble precipitation prediction in east asia: Deep learning-based post-processing for improved accuracy

Heliyon, 2024-08, Vol.10 (16), p.e35933, Article e35933

2024

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Estimating High Spatial Resolution Air Temperature for Regions with Limited in situ Data Using MODIS Products

Remote sensing (Basel, Switzerland), 2014-08, Vol.6 (8), p.7360-7378

2014

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A drought index based on actual evapotranspiration from the Bouchet hypothesis

Geophysical research letters, 2016-10, Vol.43 (19), p.10,277-10,285

2016

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GIScience and remote sensing (TGRS) special issue on advances in remote sensing and GIS-based drought monitoring

GIScience and remote sensing, 2017-03, Vol.54 (2), p.141-143

2017

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Future Changes in Drought Characteristics: Regional Analysis for South Korea under CMIP5 Projections

Journal of hydrometeorology, 2016-01, Vol.17 (1), p.437-451

2016

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Drought monitoring using high resolution soil moisture through multi-sensor satellite data fusion over the Korean peninsula

Agricultural and forest meteorology, 2017-05, Vol.237-238, p.257-269

2017

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Downscaling of AMSR-E soil moisture with MODIS products using machine learning approaches

Environmental earth sciences, 2016-08, Vol.75 (15), p.1, Article 1120

2016

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Long-Lead Predictions of Warm Season Droughts in South Korea Using North Atlantic SST

Journal of climate, 2020-06, Vol.33 (11), p.4659-4677

2020

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Objective and Probabilistic Long-Range Forecasts of Summertime Air Temperatures in South Korea Based on Gaussian Processes

Weather and forecasting, 2022-03, Vol.37 (3), p.329-349

2022

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Drought Index Mapping at Different Spatial Units

Journal of hydrometeorology, 2008-12, Vol.9 (6), p.1523-1534

2008

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Impervious surface quantification using a synthesis of artificial immune networks and decision/regression trees from multi-sensor data

Remote sensing of environment, 2012-02, Vol.117, p.102-113

2012

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Spatio‐temporal characteristics of Indonesian drought related to El Niño events and its predictability using the multi‐model ensemble

International journal of climatology, 2017-11, Vol.37 (13), p.4700-4719

2017

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Downscaling GLDAS Soil Moisture Data in East Asia through Fusion of Multi-Sensors by Optimizing Modified Regression Trees

Water (Basel), 2017-05, Vol.9 (5), p.332

2017

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Estimating Drought Conditions for Regions with Limited Precipitation Data

Journal of applied meteorology and climatology, 2011-03, Vol.50 (3), p.548-559

2011

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Factors contributing to business actions in response to climate change in Korea

Journal of risk research, 2017-03, Vol.20 (3), p.385-403

2017

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Meteorological drought forecasting for ungauged areas based on machine learning: Using long-range climate forecast and remote sensing data

Drought assessment and monitoring through blending of multi-sensor indices using machine learning approaches for different climate regions

Monitoring agricultural drought for arid and humid regions using multi-sensor remote sensing data

Building type classification using spatial and landscape attributes derived from LiDAR remote sensing data

Classification and Mapping of Paddy Rice by Combining Landsat and SAR Time Series Data

Short-Term Forecasting of Satellite-Based Drought Indices Using Their Temporal Patterns and Numerical Model Output

Detecting hydrological droughts in ungauged areas from remotely sensed hydro-meteorological variables using rule-based models

Relationship between land cover patterns and surface temperature in urban areas

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

Drought Prediction for Areas with Sparse Monitoring Networks: A Case Study for Fiji

Advancing sub-seasonal to seasonal multi-model ensemble precipitation prediction in east asia: Deep learning-based post-processing for improved accuracy

Estimating High Spatial Resolution Air Temperature for Regions with Limited in situ Data Using MODIS Products

A drought index based on actual evapotranspiration from the Bouchet hypothesis

GIScience and remote sensing (TGRS) special issue on advances in remote sensing and GIS-based drought monitoring

Future Changes in Drought Characteristics: Regional Analysis for South Korea under CMIP5 Projections

Drought monitoring using high resolution soil moisture through multi-sensor satellite data fusion over the Korean peninsula

Downscaling of AMSR-E soil moisture with MODIS products using machine learning approaches

Long-Lead Predictions of Warm Season Droughts in South Korea Using North Atlantic SST

Objective and Probabilistic Long-Range Forecasts of Summertime Air Temperatures in South Korea Based on Gaussian Processes

Drought Index Mapping at Different Spatial Units

Impervious surface quantification using a synthesis of artificial immune networks and decision/regression trees from multi-sensor data

Spatio‐temporal characteristics of Indonesian drought related to El Niño events and its predictability using the multi‐model ensemble

Downscaling GLDAS Soil Moisture Data in East Asia through Fusion of Multi-Sensors by Optimizing Modified Regression Trees

Estimating Drought Conditions for Regions with Limited Precipitation Data

Factors contributing to business actions in response to climate change in Korea

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