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Detection of inland water bodies with high temporal resolution - assessing dynamic threshold approaches

Igor Klein, Ursula Gessner, Andreas Dietz, Patrick Leinenkugel, Stefan Dech, Claudia Kuenzer
2016 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)  
The results of the tested approaches were cross validated with high resolution Landsat-8 classifications.  ...  Here, the performance of different input bands and indices, of trainings pixel selection methods, and of dynamic threshold definition approaches were assessed with the goal to find an optimized approach  ...  Our goal is to develop a methodology which allows a reconstruction of global inland water body dynamics by fully exploiting the daily resolution of MODIS.  ... 
doi:10.1109/igarss.2016.7730994 dblp:conf/igarss/KleinGDLDK16 fatcat:ggkugx6ubrbh5d36mnc3hoazuu

Automated Extraction of Surface Water Extent from Sentinel-1 Data

Wenli Huang, Ben DeVries, Chengquan Huang, Megan Lang, John Jones, Irena Creed, Mark Carroll
2018 Remote Sensing  
While existing water masks can be used to automatically train a surface water classification algorithm [22] , most static water masks omit small and dynamic wetlands, generating a bias in these classification  ...  For example, multi-temporal Landsat data were used recently to generate a global inundation surface water extent product [38], using Google Earth Engine (GEE), a platform that stores multiple sources of  ...  Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. government.  ... 
doi:10.3390/rs10050797 fatcat:esipyvrshbdfnlwapaec3fxkde

Automatic Generation of Water Masks from RapidEye Images

Gideon Okpoti Tetteh, Maurice Schönert
2015 Journal of Geoscience and Environment Protection  
The aim of this research was to develop a routine to automatically extract water masks from RapidEye images, which could be used for further investigation such as water quality monitoring and change detection  ...  This proposed algorithm was used to extract water masks from some RapidEye images. It yielded an Overall Accuracy of 95% and a mean Kappa Statistic of 0.889 using the confusion matrix approach.  ...  The Whole-R Method was developed by [8] to automatically extract waterbodies from Landsat images.  ... 
doi:10.4236/gep.2015.310003 fatcat:3jwk6xbmdbgurn7avylzh6lewi

A 30 m Resolution Surface Water Mask Including Estimation of Positional and Thematic Differences Using Landsat 8, SRTM and OpenStreetMap: A Case Study in the Murray-Darling Basin, Australia

Gennadii Donchyts, Jaap Schellekens, Hessel Winsemius, Elmar Eisemann, Nick van de Giesen
2016 Remote Sensing  
mask using Landsat 8 imagery was the most challenging task and required the development of a new method to derive a water mask from multi-spectral imagery.  ...  Extraction of the water mask using Landsat 8 imagery was the most challenging task and required the development of a new method to derive a water mask from multi-spectral imagery.  ...  Conflicts of Interest: The authors declare no conflict of interest. Appendix  ... 
doi:10.3390/rs8050386 fatcat:sqq2pqrz5fd6zeug4bgys2bo4u

Automated Extraction of Built-Up Areas by Fusing VIIRS Nighttime Lights and Landsat-8 Data

Chang Liu, Kang Yang, Mia M. Bennett, Ziyan Guo, Liang Cheng, Manchun Li
2019 Remote Sensing  
First, an adaptive NTL threshold was established, vegetation and water masks were superimposed, and built-up training samples were automatically acquired.  ...  This study proposes a new method to map built-up areas by combining VIIRS (Visible Infrared Imaging Radiometer Suite) nighttime lights (NTL) data and Landsat-8 multispectral imagery.  ...  Acknowledgments: We are grateful to anonymous reviewers and members of the editorial team for advice. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs11131571 fatcat:zckcqbl6mzglniaxxrctptbr4m

Trends in the Seaward Extent of Saltmarshes across Europe from Long-Term Satellite Data

Marieke Liesa Laengner, Koen Siteur, Daphne van der Wal
2019 Remote Sensing  
We developed an unsupervised decision tree classification method to classify satellite images into saltmarsh vegetation, mudflat and open water, integrating additional land cover information.  ...  By using consecutive stacks of three years, we considered trends while taking into account water level variations. We used Landsat 5 TM data but found that other satellite data can be used as well.  ...  Donchyts (2018) [30] studied automated methods of global surface water detection and developed an unsupervised method in Google Earth Engine (GEE) to detect surface water globally from satellite images  ... 
doi:10.3390/rs11141653 fatcat:cu2ee3ufazaulcldoq6wllqrmm

Automatic Near-Real Time Flood Extent and Duration Mapping based On Multi-Sensor Earth Observation Data

Sandro Martinis, Marc Wieland, Michaela Rattich, Christian Bohnke, Torsten Riedlinger
2020 IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium  
In order to support disaster management activities related to flood situations, an automatic system for near-real time mapping of flood extent and duration using multi-sensor satellite data is developed  ...  While the systematic acquisition plan of the Sentinel-1/2 and Landsat satellites allows a continuous monitoring of inundated areas at an interval of a few days, the TerraSAR-X processing chain has to be  ...  Flood masks are automatically derived using flood services based on S-1, S-2, TerraSAR-X, and Landsat-8 data.  ... 
doi:10.1109/igarss39084.2020.9324295 fatcat:lsr53spd4bdf3nwucw4d7j4rlm

Automatic Ex-post Flood Assessment Using Long Time Series of Optical Earth Observation Images

Martin Sudmanns, Dirk Tiede, Lorenz Wendt, Andrea Baraldi
2017 GI_FORUM - Journal for Geographic Information Science  
Our study uses a dense temporal stack of 78 Landsat 8 images for surface water extraction using automatic Earth Observation (EO) image pre-processing, coupled with analyses over time for flood detection  ...  We compared our result with a flood mask derived from a SAR (synthetic aperture radar) image of a single event in Somalia (Hiran province).  ...  We would like to thank colleagues from the German Aerospace Center (DLR) for producing the SAR-based reference flood mask.  ... 
doi:10.1553/giscience2017_01_s217 fatcat:uvplxqyucjbpvmrdhgwp7u5ll4

Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review

Meisam Amani, Arsalan Ghorbanian, Seyed Ali Ahmadi, Mohammad Kakooei, Armin Moghimi, S. Mohammad Mirmazloumi, Sayyed Hamed Alizadeh Moghaddam, Sahel Mahdavi, Masoud Ghahremanloo, Saeid Parsian, Qiusheng Wu, Brian Brisco
2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
GEE has also been employed in a broad range of applications, such as Land Cover/land Use (LCLU) classification, hydrology, urban planning, natural disaster, climate analyses, and image processing.  ...  In this regard, Google has developed a cloud computing platform, called Google Earth Engine (GEE), to effectively address the challenges of big data analysis.  ...  The GEE and Landsat-8 images between 2014 and 2018 were employed to map lakes and reservoirs using an Automatic Water Extraction Index (AWEI) with an overall accuracy of 85%.  ... 
doi:10.1109/jstars.2020.3021052 fatcat:pudllv5h2ve4lfvqtx3p4qikju

Integrating LiDAR data and multi-temporal aerial imagery to map wetland inundation dynamics using Google Earth Engine

Qiusheng Wu, Charles R. Lane, Xuecao Li, Kaiguang Zhao, Yuyu Zhou, Nicholas Clinton, Ben DeVries, Heather E. Golden, Megan W. Lang
2019 Remote Sensing of Environment  
Fish and Wildlife Service National Wetlands Inventory (NWI) geospatial dataset and existing global-scale surface water products to evaluate the performance of the proposed method.  ...  ., Landsat, Sentinel) alone cannot be used to effectively delineate these small depressional wetlands.  ...  Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.  ... 
doi:10.1016/j.rse.2019.04.015 pmid:33776151 pmcid:PMC7995247 fatcat:fpy3sp7bzngr5j343p3s5a5zyy

Mapping paddy rice planting area in wheat-rice double-cropped areas through integration of Landsat-8 OLI, MODIS and PALSAR images

Jie Wang, Xiangming Xiao, Yuanwei Qin, Jinwei Dong, Geli Zhang, Weili Kou, Cui Jin, Yuting Zhou, Yao Zhang
2015 Scientific Reports  
Determining the area of paddy rice fields is an important component of obtaining more accurate information about agricultural water use to effectively manage fresh water resources 3 .  ...  (Landsat-8, MODIS) and radar images (PALSAR) in mapping paddy rice planting areas.  ...  The high resolution images were provided by NASA for use in the  ... 
doi:10.1038/srep10088 pmid:25965027 pmcid:PMC4428029 fatcat:vtqgystconbgjcl4iukgrggi7u

Automated Quantification of Surface Water Inundation in Wetlands Using Optical Satellite Imagery

Ben DeVries, Chengquan Huang, Megan Lang, John Jones, Wenli Huang, Irena Creed, Mark Carroll
2017 Remote Sensing  
Requiring no external training data, our algorithm estimates sub-pixel water fraction (SWF) over large areas and long time periods using Landsat data.  ...  water courses and canopy-covered water features.  ...  Acknowledgments: This work was conducted with funding from the NASA Land Cover and Land Use Change  ... 
doi:10.3390/rs9080807 fatcat:23ysym5fi5fwrngmifmgiwnrem

Landsat-Based Estimation of Seasonal Water Cover and Change in Arid and Semi-Arid Central Asia (2000–2015)

Che, Feng, Sexton, Channan, Sun, Ying, Liu, Wang
2019 Remote Sensing  
A machine-learning algorithm, previously used only to map water at single points in time, was applied over 16 years of the USGS Landsat archive to detect and map surface water over central Asia from 2000  ...  These results indicate that the dataset can provide insights into the behavior of surface water across central Asia through time, and that the method can be further developed for regional and global applications  ...  Geological Survey server (http://glovis.usgs.gov), and Global Land Cover Facility server (http://www.landcover.org) used in this study.  ... 
doi:10.3390/rs11111323 fatcat:6g2swqb5kzgjjbintp7ksk76qy

A novel Water Change Tracking algorithm for Dynamic mapping of inland water using time-series remote sensing imagery

Xidong Chen, Liangyun Liu, Xiao Zhang, Shuai Xie, Liping Lei
2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
First, time-series of Minimum Normalized Water Score (MNWS) images and corresponding 'badpixel' (cloud, ice and snow) masks were developed using time-series of Landsat imagery.  ...  Simultaneously, time-series of Landsat imagery are used as an example for illustrating the effectiveness of the method.  ...  In this article, we have described the development of the WCT algorithm, and used time-series of Landsat-8 OLI imagery as an example to delineate dynamic water bodies at a 30-m resolution.  ... 
doi:10.1109/jstars.2020.2983729 fatcat:6j3ezcsf4vetjp3h4ebsaujium

Automatic Flood Duration Estimation Based on Multi-Sensor Satellite Data

Michaela Rättich, Sandro Martinis, Marc Wieland
2020 Remote Sensing  
The objective of this work is to develop an automatic procedure to estimate flood duration and the uncertainty associated with the use of multi-temporal flood extent masks upon which the procedure is based  ...  Thus, it helps gain a better understanding of hydrological conditions and surface water availability and provides valuable insights for land-use planning.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs12040643 fatcat:qt3tfooa3fd3vbp7vzjjskde3y
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