Recurrent U-Net based dynamic paddy rice mapping in South Korea with enhanced data compatibility to support agricultural decision making

Jo, Hyun-Woo; Park, Eunbeen; Sitokonstantinou, Vasileios; Kim, Joon; Lee, Sujong; Koukos, Alkiviadis; Lee, Woo-Kyun

doi:10.1080/15481603.2023.2206539

Title: Recurrent U-Net based dynamic paddy rice mapping in South Korea with enhanced data compatibility to support agricultural decision making

Journal Article · 03 May 2023 · GIScience & Remote Sensing

DOI: https://doi.org/10.1080/15481603.2023.2206539 · OSTI ID:1972395

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Department of Environmental Science and Ecological Engineering, Korea University, Seoul, Republic of Korea
BEYOND Centre, IAASARS, National Observatory of Athens, Greece, Athens

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Sponsoring Organization:: USDOE Office of Electricity (OE), Advanced Grid Research & Development. Power Systems Engineering Research

OSTI ID:: 1972395

Journal Information:: GIScience & Remote Sensing, Journal Name: GIScience & Remote Sensing Vol. 60 Journal Issue: 1; ISSN 1548-1603

Publisher:: Informa UK LimitedCopyright Statement

Country of Publication:: United States

Language:: English

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Mapping Paddy Rice in China in 2002, 2005, 2010 and 2014 with MODIS Time Series Clauss, Kersten; Yan, Huimin; Kuenzer, Claudia Remote Sensing, Vol. 8, Issue 5 https://doi.org/10.3390/rs8050434	journal	May 2016
Recurrent U-Net for Resource-Constrained Segmentation Wang, Wei; Yu, Kaicheng; Hugonot, Joachim 2019 IEEE/CVF International Conference on Computer Vision (ICCV) https://doi.org/10.1109/ICCV.2019.00223	conference	October 2019
Boundary IoU: Improving Object-Centric Image Segmentation Evaluation Cheng, Bowen; Girshick, Ross; Dollar, Piotr 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) https://doi.org/10.1109/CVPR46437.2021.01508	conference	June 2021
Observation of flooding and rice transplanting of paddy rice fields at the site to landscape scales in China using VEGETATION sensor data Xiao, X.; Boles, S.; Frolking, S. International Journal of Remote Sensing, Vol. 23, Issue 15 https://doi.org/10.1080/01431160110107734	journal	January 2002
Beyond human-level accuracy Hestness, Joel; Ardalani, Newsha; Diamos, Gregory Proceedings of the 24th Symposium on Principles and Practice of Parallel Programming https://doi.org/10.1145/3293883.3295710	conference	February 2019
Paddy Rice Mapping in Thailand Using Time-Series Sentinel-1 Data and Deep Learning Model Xu, Lu; Zhang, Hong; Wang, Chao Remote Sensing, Vol. 13, Issue 19 https://doi.org/10.3390/rs13193994	journal	October 2021
A Scalable Machine Learning Pipeline for Paddy Rice Classification Using Multi-Temporal Sentinel Data Sitokonstantinou, Vasileios; Koukos, Alkiviadis; Drivas, Thanassis Remote Sensing, Vol. 13, Issue 9 https://doi.org/10.3390/rs13091769	journal	May 2021
Road Detection and Centerline Extraction Via Deep Recurrent Convolutional Neural Network U-Net Yang, Xiaofei; Li, Xutao; Ye, Yunming IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, Issue 9 https://doi.org/10.1109/TGRS.2019.2912301	journal	September 2019
A Simple Distortion-Free Method to Handle Variable Length Sequences for Recurrent Neural Networks in Text Dependent Speaker Verification Yoon, Sung-Hyun; Yu, Ha-Jin Applied Sciences, Vol. 10, Issue 12 https://doi.org/10.3390/APP10124092	journal	June 2020
GUN: Gradual Upsampling Network for Single Image Super-Resolution Zhao, Yang; Li, Guoqing; Xie, Wenjun IEEE Access, Vol. 6 https://doi.org/10.1109/ACCESS.2018.2855127	journal	January 2018
Deep Learning Applications on Multitemporal SAR (Sentinel-1) Image Classification Using Confined Labeled Data: The Case of Detecting Rice Paddy in South Korea Jo, Hyun-Woo; Lee, Sujong; Park, Eunbeen IEEE Transactions on Geoscience and Remote Sensing, Vol. 58, Issue 11 https://doi.org/10.1109/TGRS.2020.2981671	journal	November 2020
Classification of Paddy Rice Using a Stacked Generalization Approach and the Spectral Mixture Method Based on MODIS Time Series Zhang, Meng; Zhang, Huaiqing; Li, Xinyu IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 13 https://doi.org/10.1109/JSTARS.2020.2994335	journal	January 2020
UAV, a Farm Map, and Machine Learning Technology Convergence Classification Method of a Corn Cultivation Area Lee, Dong-Ho; Kim, Hyeon-Jin; Park, Jong-Hwa Agronomy, Vol. 11, Issue 8 https://doi.org/10.3390/agronomy11081554	journal	August 2021
Climate change impacts on water for irrigating paddy rice in South Korea Chung, S. -O.; Rodríguez-Díaz, J. A.; Weatherhead, E. K. Irrigation and Drainage, Vol. 60, Issue 2 https://doi.org/10.1002/ird.559	journal	March 2011
Agricultural Field Boundary Delineation with Satellite Image Segmentation for High-Resolution Crop Mapping: A Case Study of Rice Paddy Wang, Mo; Wang, Jing; Cui, Yunpeng Agronomy, Vol. 12, Issue 10 https://doi.org/10.3390/agronomy12102342	journal	September 2022

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