Mapping inundation extents in Poyang Lake area using Sentinel-1 data and transformer-based change detection method

[1]  G. Wang,et al.  Flood disaster risk and socioeconomy in the Yellow River Basin, China , 2022, Journal of Hydrology: Regional Studies.

[2]  L. Zhang,et al.  Coastal town flooding upon compound rainfall-wave overtopping-storm surge during extreme tropical cyclones in Hong Kong , 2021 .

[3]  Decheng Wang,et al.  ADS-Net: An Attention-Based deeply supervised network for remote sensing image change detection , 2021, Int. J. Appl. Earth Obs. Geoinformation.

[4]  Chong Xu,et al.  A Large Old Landslide in Sichuan Province, China: Surface Displacement Monitoring and Potential Instability Assessment , 2021, Remote. Sens..

[5]  Lingjia Liu,et al.  An Adaptive Capsule Network for Hyperspectral Remote Sensing Classification , 2021, Remote. Sens..

[6]  Natsumi Kitajima,et al.  Potential of a SAR Small-Satellite Constellation for Rapid Monitoring of Flood Extent , 2021, Remote. Sens..

[7]  Edward Park,et al.  Flood Monitoring in Rural Areas of the Pearl River Basin (China) Using Sentinel-1 SAR , 2021, Remote. Sens..

[8]  Jinyuan Shao,et al.  SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images , 2021, IEEE Geoscience and Remote Sensing Letters.

[9]  Parthasarathy Ramachandran,et al.  Development of New Index-Based Methodology for Extraction of Built-Up Area From Landsat7 Imagery: Comparison of Performance With SVM, ANN, and Existing Indices , 2021, IEEE Transactions on Geoscience and Remote Sensing.

[10]  Sina Keller,et al.  Deep Learning for Land Cover Change Detection , 2020, Remote. Sens..

[11]  Alexander Fekete,et al.  CORONA High-Resolution Satellite and Aerial Imagery for Change Detection Assessment of Natural Hazard Risk and Urban Growth in El Alto/La Paz in Bolivia, Santiago de Chile, Yungay in Peru, Qazvin in Iran, and Mount St. Helens in the USA , 2020, Remote. Sens..

[12]  M. Chini,et al.  Integrating C- and L-Band SAR Imagery for Detailed Flood Monitoring of Remote Vegetated Areas , 2020, Water.

[13]  Peng Yue,et al.  A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images , 2020 .

[14]  Bangsen Tian,et al.  Use of Sentinel-1 GRD SAR Images to Delineate Flood Extent in Pakistan , 2020 .

[15]  Craig Mahoney,et al.  Automated SAR Image Thresholds for Water Mask Production in Alberta's Boreal Region , 2020, Remote. Sens..

[16]  Shuanggen Jin,et al.  Rapid Flood Mapping and Evaluation with a Supervised Classifier and Change Detection in Shouguang Using Sentinel-1 SAR and Sentinel-2 Optical Data , 2020, Remote. Sens..

[17]  Moung-Jin Lee,et al.  Rapid Change Detection of Flood Affected Area after Collapse of the Laos Xe-Pian Xe-Namnoy Dam Using Sentinel-1 GRD Data , 2020, Remote. Sens..

[18]  Hao Chen,et al.  A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection , 2020, Remote. Sens..

[19]  Daniel Raucoules,et al.  Landslide Mapping and Monitoring Using Persistent Scatterer Interferometry (PSI) Technique in the French Alps , 2020, Remote. Sens..

[20]  A. Sekertekin,et al.  A Survey on Global Thresholding Methods for Mapping Open Water Body Using Sentinel-2 Satellite Imagery and Normalized Difference Water Index , 2020, Archives of Computational Methods in Engineering.

[21]  Huihui Song,et al.  Water Identification from High-Resolution Remote Sensing Images Based on Multidimensional Densely Connected Convolutional Neural Networks , 2020, Remote. Sens..

[22]  Y. Hong,et al.  Towards high resolution flood monitoring: An integrated methodology using passive microwave brightness temperatures and Sentinel synthetic aperture radar imagery , 2020 .

[23]  G. Z. Wang,et al.  STUDY ON THE WATER BODY EXTRACTION USING GF-1 DATA BASED ON ADABOOST INTEGRATED LEARNING ALGORITHM , 2020 .

[24]  Wenbin Li,et al.  Landslide Susceptibility Prediction Based on Remote Sensing Images and GIS: Comparisons of Supervised and Unsupervised Machine Learning Models , 2020, Remote. Sens..

[25]  Gloria Bordogna,et al.  Towards an automated approach to map flooded areas from Sentinel-2 MSI data and soft integration of water spectral features , 2020, Int. J. Appl. Earth Obs. Geoinformation.

[26]  Menglong Yan,et al.  Triplet-Based Semantic Relation Learning for Aerial Remote Sensing Image Change Detection , 2019, IEEE Geoscience and Remote Sensing Letters.

[27]  Claudia Kuenzer,et al.  Estimating rice production in the Mekong Delta, Vietnam, utilizing time series of Sentinel-1 SAR data , 2018, Int. J. Appl. Earth Obs. Geoinformation.

[28]  Zifeng Wang,et al.  Multi-Spectral Water Index (MuWI): A Native 10-m Multi-Spectral Water Index for Accurate Water Mapping on Sentinel-2 , 2018, Remote. Sens..

[29]  Lu Yang,et al.  Semantic Segmentation for High Spatial Resolution Remote Sensing Images Based on Convolution Neural Network and Pyramid Pooling Module , 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[30]  Brian Brisco,et al.  Multi-temporal, multi-frequency, and multi-polarization coherence and SAR backscatter analysis of wetlands , 2018 .

[31]  Nima Tajbakhsh,et al.  UNet++: A Nested U-Net Architecture for Medical Image Segmentation , 2018, DLMIA/ML-CDS@MICCAI.

[32]  Guisong Xia,et al.  Land-cover classification with high-resolution remote sensing images using transferable deep models , 2018, Remote Sensing of Environment.

[33]  Zheng Duan,et al.  A robust Multi-Band Water Index (MBWI) for automated extraction of surface water from Landsat 8 OLI imagery , 2018, International Journal of Applied Earth Observation and Geoinformation.

[34]  M. Marconcini,et al.  Normalized Difference Flood Index for rapid flood mapping: Taking advantage of EO big data , 2018 .

[35]  Antonio Iodice,et al.  Unsupervised Rapid Flood Mapping Using Sentinel-1 GRD SAR Images , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[36]  Xiaohua Tong,et al.  An approach for flood monitoring by the combined use of Landsat 8 optical imagery and COSMO-SkyMed radar imagery , 2018 .

[37]  Han-Sol Ryu,et al.  Flood Monitoring Using Satellite-Based RGB Composite Imagery and Refractive Index Retrieval in Visible and Near-Infrared Bands , 2017, Remote. Sens..

[38]  Kavita Shah,et al.  Floodplain Mapping through Support Vector Machine and Optical/Infrared Images from Landsat 8 OLI/TIRS Sensors: Case Study from Varanasi , 2017, Water Resources Management.

[39]  Simon Plank,et al.  Sentinel-1-based flood mapping: a fully automated processing chain , 2016 .

[40]  Lichao Mou,et al.  Learning a Transferable Change Rule from a Recurrent Neural Network for Land Cover Change Detection , 2016, Remote. Sens..

[41]  Zhang Hong,et al.  SAR Image Water Extraction based on Scattering Characteristics , 2015 .

[42]  Maoguo Gong,et al.  Change Detection in Synthetic Aperture Radar Images based on Image Fusion and Fuzzy Clustering , 2012, IEEE Transactions on Image Processing.

[43]  Annarita D'Addabbo,et al.  A composed supervised/unsupervised approach to improve change detection from remote sensing , 2007, Pattern Recognit. Lett..

[44]  Hanqiu Xu.  Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery , 2006 .

[45]  S. K. McFeeters.  The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features , 1996 .

[46]  Guojie Wang,et al.  Monitoring the summer flooding in the Poyang Lake area of China in 2020 based on Sentinel-1 data and multiple convolutional neural networks , 2021, Int. J. Appl. Earth Obs. Geoinformation.

[47]  Zhenfeng Shao,et al.  A Comparative Analysis of Index-Based Methods for Impervious Surface Mapping Using Multiseasonal Sentinel-2 Satellite Data , 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[48]  Xuguang Tang,et al.  Improved SinGAN Integrated with an Attentional Mechanism for Remote Sensing Image Classification , 2021, Remote. Sens..

[49]  Ferenc Kovács,et al.  Sentinel-1-Imagery-Based High-Resolution Water Cover Detection on Wetlands, Aided by Google Earth Engine , 2020, Remote. Sens..

[50]  Maoguo Gong,et al.  Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks , 2016, IEEE Transactions on Neural Networks and Learning Systems.

[51]  T. Stein.  International Geoscience And Remote Sensing Symposium , 1992, [Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium.