ReaLSAT, a global dataset of reservoir and lake surface area variations

[1]  D. Bastviken,et al.  Small artificial waterbodies are widespread and persistent emitters of methane and carbon dioxide , 2021, Global change biology.

[2]  Sudipta Sarkar,et al.  NASA's MODIS/VIIRS Global Water Reservoir Product Suite from Moderate Resolution Remote Sensing Data , 2021, Remote. Sens..

[3]  Xin Yan,et al.  Construction of High Spatial-Temporal Water Body Dataset in China Based on Sentinel-1 Archives and GEE , 2020, Remote. Sens..

[4]  M. Schmitt.  Potential of Large-Scale Inland Water Body Mapping from Sentinel-1/2 Data on the Example of Bavaria’s Lakes and Rivers , 2020, PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science.

[5]  F. Roland,et al.  Global CO2 emissions from dry inland waters share common drivers across ecosystems , 2020, Nature Communications.

[6]  Chao Di,et al.  U1 snRNP regulates cancer cell migration and invasion in vitro , 2020, Nature Communications.

[7]  J. McCray,et al.  Active‐Passive Surface Water Classification: A New Method for High‐Resolution Monitoring of Surface Water Dynamics , 2019, Geophysical Research Letters.

[8]  A. Khandelwal.  ORBIT (Ordering Based Information Transfer): A Physics Guided Machine Learning Framework to Monitor the Dynamics of Water Bodies at a Global Scale , 2019 .

[9]  Gilles Belaud,et al.  Surface water monitoring in small water bodies: potential and limits of multi-sensor Landsat time series , 2018, Hydrology and Earth System Sciences.

[10]  T. Pavelsky,et al.  Global extent of rivers and streams , 2018, Science.

[11]  Guanghui Wang,et al.  Monitoring monthly surface water dynamics of Dongting Lake using Sentinel-1 data at 10 m , 2018, PeerJ.

[12]  Durelle T. Scott,et al.  Monitoring volumetric fluctuations in tropical lakes and reservoirs using satellite remote sensing , 2018 .

[13]  Christian Schwatke,et al.  A global lake and reservoir volume analysis using a surface water dataset and satellite altimetry , 2018, Hydrology and Earth System Sciences.

[14]  Vipin Kumar,et al.  Mapping Burned Areas in Tropical Forests Using a Novel Machine Learning Framework , 2018, Remote. Sens..

[15]  A. Karpatne,et al.  An approach for global monitoring of surface water extent variations in reservoirs using MODIS data , 2017 .

[16]  M. Futter,et al.  Variability in organic carbon reactivity across lake residence time and trophic gradients , 2017 .

[17]  F. Aires,et al.  Surface Water Monitoring within Cambodia and the Vietnamese Mekong Delta over a Year, with Sentinel-1 SAR Observations , 2017 .

[18]  Nagiza F. Samatova,et al.  Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data , 2016, IEEE Transactions on Knowledge and Data Engineering.

[19]  B. Lehner,et al.  Estimating the volume and age of water stored in global lakes using a geo-statistical approach , 2016, Nature Communications.

[20]  J. Pekel,et al.  High-resolution mapping of global surface water and its long-term changes , 2016, Nature.

[21]  Feng Gao,et al.  Representative lake water extent mapping at continental scales using multi-temporal Landsat-8 imagery , 2016 .

[22]  Gennadii Donchyts,et al.  Earth's surface water change over the past 30 years , 2016 .

[23]  D. Seekell,et al.  The size-distribution of Earth’s lakes , 2016, Scientific Reports.

[24]  Mark A. Trigg,et al.  Development of a global ~90m water body map using multi-temporal Landsat images , 2015, Remote Sensing of Environment.

[25]  Vipin Kumar,et al.  Post Classification Label Refinement Using Implicit Ordering Constraint Among Data Instances , 2015, 2015 IEEE International Conference on Data Mining.

[26]  C. Verpoorter,et al.  A global inventory of lakes based on high‐resolution satellite imagery , 2014 .

[27]  Y. Sheng,et al.  An automated scheme for glacial lake dynamics mapping using Landsat imagery and digital elevation models: a case study in the Himalayas , 2012 .

[28]  D. Lettenmaier,et al.  Global monitoring of large reservoir storage from satellite remote sensing , 2011 .

[29]  Hao Wang,et al.  Water body mapping method with HJ-1A/B satellite imagery , 2011, Int. J. Appl. Earth Obs. Geoinformation.

[30]  B. D. Beckley,et al.  Investigating the Performance of the Jason-2/OSTM Radar Altimeter over Lakes and Reservoirs , 2010 .

[31]  John R. Townshend,et al.  A new global raster water mask at 250 m resolution , 2009, Int. J. Digit. Earth.

[32]  B. Combal,et al.  Time Series Analysis of Optical Remote Sensing Data for the Mapping of Temporary Surface Water Bodies in Sub-Saharan Western Africa , 2009 .

[33]  K. Verdin,et al.  New Global Hydrography Derived From Spaceborne Elevation Data , 2008 .

[34]  M. Arora,et al.  An approach for GIS-based statistical landslide susceptibility zonation—with a case study in the Himalayas , 2005 .

[35]  P. Döll,et al.  Development and validation of a global database of lakes, reservoirs and wetlands , 2004 .

[36]  C. Birkett,et al.  The contribution of TOPEX/POSEIDON to the global monitoring of climatically sensitive lakes , 1995 .

[37]  D. G. Frey.  What is a lake , 1990 .

[38]  Lian Feng,et al.  Unrealistic phytoplankton bloom trends in global lakes derived from Landsat measurements , 2020 .

[39]  Pierre Soille,et al.  Morphological Image Analysis: Principles and Applications , 2003 .