Selected Publications

The following list shows papers, posters and presentation related to the work of DAHITI.


Schwatke, C., Dettmering, D., Bosch, W., and Seitz, F.: DAHITI - an innovative approach for estimating water level time series over inland waters using multi-mission satellite altimetry: , Hydrol. Earth Syst. Sci., 19, 4345-4364, doi:10.5194/hess-19-4345-2015, 2015

Schwatke C., Dettmering D., Boergens E.: Potential of SARAL/AltiKa for inland water applications. Marine Geodesy (in press), 10.1080/01490419.2015.1008710, 2015

Posters and Presentations

Schwatke C., Dettmering D., Göttl F.: Classification of altimeter waveforms for an improved estimation of water level time series over inland water. Hydrospace 2015, ESA-ESRIN, Frascati, Italy, 2015-09-15.

Schwatke C., Dettmering D., Bosch W., Göttl F., Boergens E.: Database for Hydrological Time Series of Inland Waters (DAHITI). Ocean Surface Topography Science Team Meeting, Lake Constance, Germany, 2014-10-30

Schwatke C., Dettmering D., Bosch W., Göttl F., Boergens E.: Database for Hydrological Time Series of Inland Waters (DAHITI). 8th Coastal Altimetry Workshop, Lake Constance, Germany, 2014-10-23

Schwatke C., Dettmering D., Bosch W.: Using Multi-Mission Satellite Altimetry for Estimating Water Level Time Series of Inland Waters - The new Database for Hydrological Time Series of Inland Waters (DAHITI). Ocean Surface Topography Science Team (OSTST) Meeting 2013, Boulder, USA, 2013-10-10

Schwatke C., Dettmering D., Bosch W.: DAHITI: A new Database of Water Level Time Series for Lakes, River, and Wetlands from Multi-Mission Satellite Altimetry. 7th Coastal Altimetry Workshop, Boulder, USA, 2013-10-07

Further publications referring to DAHITI

A. Sichangi et al.: Estimating continental river basin discharges using multiple remote sensing data sets. 10.1016/j.rse.2016.03.019

A. Khandelwal et al.: An approach for global monitoring of surface water extent variations in reservoirs using MODIS data. 10.1016/j.rse.2017.05.039

E. Boergens et al.: Combination of multi-mission altimetry data along the Mekong River with spatio-temporal kriging. 10.1007/s00190-016-0980-z

M. Tourian et al.: River discharge estimation at daily resolution from satellite altimetry over an entire river basin. 10.1016/j.jhydrol.2017.01.009

A. Singh et al.: Remote Sensing of Storage Fluctuations of Poorly Gauged Reservoirs and State Space Model (SSM)-Based Estimation. 10.3390/rs71215872

A. Sichangi & G.: Makokha Monitoring water depth, surface area and volume changes in Lake Victoria: integrating the bathymetry map and remote sensing data during 1993-2016. 0.1007/s40808-017-0311-2

L. Verrot & G.: Destouni Data-model comparison of temporal variability in long-term time series of large-scale soil moisture. 10.1002/2016JD025209

L. Jiang et al.: CryoSat-2 Altimetry Applications over Rivers and Lakes. 10.3390/w9030211

S. Schlaffer et al.: Mapping Wetlands in Zambia Using Seasonal Backscatter Signatures Derived from ENVISAT ASAR Time Series. 10.3390/rs8050402

M. Okeowo et al. : Automated Generation of Lakes and Reservoirs Water Elevation Changes From Satellite Radar Altimetry. 10.1109/JSTARS.2017.2684081

D. Dettmering et al.: Potential of ENVISAT Radar Altimetry for Water Level Monitoring in the Pantanal Wetland. 10.3390/rs8070596

L. Jiang et al.: CryoSat-2 radar altimetry for monitoring freshwater resources of China. 10.1016/j.rse.2017.08.015

R. Schneider et al.: Application of CryoSat-2 altimetry data for river analysis and modelling. 10.5194/hess-21-751-2017

A. Zlinszky et al.: Airborne Laser Scanning for calibration and validation of inshore satellite altimetry: A proof of concept. 10.1016/j.rse.2017.04.027

F. Göttl et al.: Lake Level Estimation Based on CryoSat-2 SAR Altimetry and Multi-Looked Waveform Classification. 10.3390/rs8110885

Y. Wada et al.: Recent Changes in Land Water Storage and its Contribution to Sea Level Variations. 10.1007/s10712-016-9399-6

C. Schwatke et al.: Potential of SARAL/AltiKa for Inland Water Applications. 10.1080/01490419.2015.1008710

A. Dubey et al.: An improved methodology to estimate river stage and discharge using Jason-2 satellite data. 10.1016/j.jhydrol.2015.08.009