Jaese Lee
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    • ASCAT2SMAP: image-to-image translation to obtain L-band-like soil moisture from C-band satellite data
    • Improved SMAP Soil Moisture Retrieval Using a Deep Neural Network-Based Replacement of Radiative Transfer and Roughness Model
    • Improved soil moisture estimation: Synergistic use of satellite observations and land surface models over CONUS based on machine learning
    • Performance of Drought Indices in Assessing Rice Yield in North Korea and South Korea under the Different Agricultural Systems
    • Detection of Forest Fire Damage from Sentinel-1 SAR Data through the Synergistic Use of Principal Component Analysis and K-means Clustering
    • Estimation of Leaf Area Index Based on Machine Learning/PROSAIL Using Optical Satellite Imagery
    • Satellite-based Drought Forecasting: Research Trends, Challenges, and Future Directions
    • Improvement of spatial interpolation accuracy of daily maximum air temperature in urban areas using a stacking ensemble technique
    • Wildfire Severity Mapping Using Sentinel Satellite Data Based on Machine Learning Approaches
    • Development of Satellite-based Drought Indices for Assessing Wildfire Risk
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Pandas

2023 · 1 min read
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Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures.

Last updated on 2023
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Jaese Lee
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Jaese Lee
Graduate Student
PyTorch 2023 →

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