Data Identification Information
|
Name of the Dataset |
Inland Water level retrieved from satellite Altimetry |
Theme |
Hydrology |
Keywords |
Altimeter, Geophysical range correction, waveform processing |
Access Constraints |
No |
Purpose of creating data |
To compliment in-situ gauge network and to generate consistent time-series dataset |
Data Type |
Product in ASCII format, with date and water level (in meter) with reference to mean sea surface
|
Contact Information |
Contact Person |
Dr. Shard Chander |
Organization |
Space Applications Cenre (ISRO) |
Mailing Address |
Jodhpur Tekra, Ahmedabad |
City/Locality |
Ahmedabad |
Country |
India |
Contact Telephone |
07926914138 |
Contact Fax |
07926915825 |
Contact Email |
schander@sac.isro.gov.in |
Geographic Location |
Spheroid / Datum |
WGS84 |
Citation |
Data Prepared by |
Dr. Shard Chander |
Original Source |
Shard Chander, Debojyoti Ganguly, “Development of water level estimation algorithms using SARAL/
Altika dataset and validation over the Ukai reservoir, India,” J. Appl. Remote Sens. 11(1), 016012
(2017), doi: 10.1117/1.JRS.11.016012. |
Source Date |
2017 |
Metadata Stamp |
Metadata Date Stamp |
2019-08-07T12:56:09.800Z |
Category |
Data Identification topic category |
Hydrological Science and Application |
Language |
Language ISO 06392Bsh |
English |
Abstract describing the data |
Data Identification Abstract |
Water level was estimated, using radar altimetry, over the major Indian inland water bodies over the
duration 2008-2019 using modified algorithms specifically for inland water bodies. The methodology
was based on waveform classification, waveform retracking, and dedicated inland range corrections
algorithms. |
Data Quality |
Accuracy |
Over one of the test site, Ukai reservoir, the altimeter retrieved water level results were
validated with the GPS survey and in situ gauge dataset. The results were found to be in good
agreement with an overall root-mean-square error <15 cm. |