Rapid Assessment of Flood Inundation and Damaged Rice Area in Red River Delta from Sentinel 1A Imagery
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Rapid Assessment of Flood Inundation and Damaged Rice Area in Red River Delta from Sentinel 1A Imagery
Authors
Keywords
-
Journal
Remote Sensing
Volume 11, Issue 17, Pages 2034
Publisher
MDPI AG
Online
2019-08-29
DOI
10.3390/rs11172034
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Mapping Double and Single Crop Paddy Rice With Sentinel-1A at Varying Spatial Scales and Polarizations in Hanoi, Vietnam
- (2018) Kristofer Lasko et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Unsupervised Rapid Flood Mapping Using Sentinel-1 GRD SAR Images
- (2018) Donato Amitrano et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Quantifying urban growth patterns in Hanoi using landscape expansion modes and time series spatial metrics
- (2018) Duong H. Nong et al. PLoS One
- Mapping Early, Middle and Late Rice Extent Using Sentinel-1A and Landsat-8 Data in the Poyang Lake Plain, China
- (2018) Haifeng Tian et al. SENSORS
- Classification and Mapping of Paddy Rice by Combining Landsat and SAR Time Series Data
- (2018) Seonyoung Park et al. Remote Sensing
- Monitoring monthly surface water dynamics of Dongting Lake using Sentinal-1 data at 10 m
- (2018) Liwei Xing et al. PeerJ
- Sen4Rice: A Processing Chain for Differentiating Early and Late Transplanted Rice Using Time-Series Sentinel-1 SAR Data With Google Earth Engine
- (2018) Dipankar Mandal et al. IEEE Geoscience and Remote Sensing Letters
- Potential and Limitations of Open Satellite Data for Flood Mapping
- (2018) Davide Notti et al. Remote Sensing
- A Hierarchical Split-Based Approach for Parametric Thresholding of SAR Images: Flood Inundation as a Test Case
- (2017) Marco Chini et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Comparative flood area analysis of C-band VH, VV, and L-band HH polarizations SAR data
- (2017) R. Manavalan et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Improvement of land-cover classification over frequently cloud-covered areas using Landsat 8 time-series composites and an ensemble of supervised classifiers
- (2017) Chuc Duc Man et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Mapping rice areas with Sentinel-1 time series and superpixel segmentation
- (2017) K. Clauss et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Rapid flood inundation mapping using social media, remote sensing and topographic data
- (2017) J. F. Rosser et al. NATURAL HAZARDS
- Ensemble machine-learning-based geospatial approach for flood risk assessment using multi-sensor remote-sensing data and GIS
- (2017) Hossein Mojaddadi et al. Geomatics Natural Hazards & Risk
- Calibration of the Water Cloud Model at C-Band for Winter Crop Fields and Grasslands
- (2017) Nicolas Baghdadi et al. Remote Sensing
- Monitoring Rice Agriculture across Myanmar Using Time Series Sentinel-1 Assisted by Landsat-8 and PALSAR-2
- (2017) Nathan Torbick et al. Remote Sensing
- Mapping rice greenhouse gas emissions in the Red River Delta, Vietnam
- (2017) Nathan Torbick et al. Carbon Management
- Rice Mapping Using RADARSAT-2 Dual- and Quad-Pol Data in a Complex Land-Use Watershed: Cau River Basin (Vietnam)
- (2016) Huong Kim Hoang et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Mapping paddy rice planting area in rice-wetland coexistent areas through analysis of Landsat 8 OLI and MODIS images
- (2016) Yuting Zhou et al. International Journal of Applied Earth Observation and Geoinformation
- Sentinel-1-based flood mapping: a fully automated processing chain
- (2016) André Twele et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Attribution Analyses of Impacts of Environmental Changes on Streamflow and Sediment Load in a Mountainous Basin, Vietnam
- (2016) Jie Wang et al. Forests
- Mapping Paddy Rice in China in 2002, 2005, 2010 and 2014 with MODIS Time Series
- (2016) Kersten Clauss et al. Remote Sensing
- Flood susceptibility assessment using GIS-based support vector machine model with different kernel types
- (2015) Mahyat Shafapour Tehrany et al. CATENA
- Rapid Damage Assessment of Rice Crop After Large-Scale Flood in the Cambodian Floodplain Using Temporal Spatial Data
- (2015) Youngjoo Kwak et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Assessing the degree of flood damage to rice crops in the Chao Phraya delta, Thailand, using MODIS satellite imaging
- (2015) Akihiko Kotera et al. Paddy and Water Environment
- Mapping rice paddy extent and intensification in the Vietnamese Mekong River Delta with dense time stacks of Landsat data
- (2015) Caitlin Kontgis et al. REMOTE SENSING OF ENVIRONMENT
- Mapping Rice Seasonality in the Mekong Delta with Multi-Year Envisat ASAR WSM Data
- (2015) Duy Nguyen et al. Remote Sensing
- Examining the Capability of Supervised Machine Learning Classifiers in Extracting Flooded Areas from Landsat TM Imagery: A Case Study from a Mediterranean Flood
- (2015) Gareth Ireland et al. Remote Sensing
- Object-Based Flood Mapping and Affected Rice Field Estimation with Landsat 8 OLI and MODIS Data
- (2015) Phuong Dao et al. Remote Sensing
- County-level rice area estimation in southern China using remote sensing data
- (2014) Qiangzi Li et al. Journal of Applied Remote Sensing
- Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS
- (2014) Mahyat Shafapour Tehrany et al. JOURNAL OF HYDROLOGY
- Water Feature Extraction and Change Detection Using Multitemporal Landsat Imagery
- (2014) Komeil Rokni et al. Remote Sensing
- Flood Mapping and Flood Dynamics of the Mekong Delta: ENVISAT-ASAR-WSM Based Time Series Analyses
- (2013) Claudia Kuenzer et al. Remote Sensing
- A Phenology-Based Classification of Time-Series MODIS Data for Rice Crop Monitoring in Mekong Delta, Vietnam
- (2013) Nguyen-Thanh Son et al. Remote Sensing
- Near Real-Time Flood Detection in Urban and Rural Areas Using High-Resolution Synthetic Aperture Radar Images
- (2012) David C. Mason et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Using variance analysis of multitemporal MODIS images for rice field mapping in Bali Province, Indonesia
- (2012) I Wayan Nuarsa et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Height Above the Nearest Drainage – a hydrologically relevant new terrain model
- (2011) A.D. Nobre et al. JOURNAL OF HYDROLOGY
- Use of ENVISAT/ASAR wide-swath data for timely rice fields mapping in the Mekong River Delta
- (2011) Alexandre Bouvet et al. REMOTE SENSING OF ENVIRONMENT
- Support vector machines in remote sensing: A review
- (2010) Giorgos Mountrakis et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Near real-time flood wave approximation on large rivers from space: Application to the River Po, Italy
- (2010) G. Schumann et al. WATER RESOURCES RESEARCH
- Analysis of rapid expansion of inland aquaculture and triple rice-cropping areas in a coastal area of the Vietnamese Mekong Delta using MODIS time-series imagery
- (2009) Toshihiro Sakamoto et al. LANDSCAPE AND URBAN PLANNING
- HAND, a new terrain descriptor using SRTM-DEM: Mapping terra-firme rainforest environments in Amazonia
- (2008) Camilo Daleles Rennó et al. REMOTE SENSING OF ENVIRONMENT
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started