Abstract
The estimation of fresh snow depth (FSD) using X-band synthetic aperture radar (SAR) is feasible but challenging depending on the hydrometeorological conditions and data availability. In this study, the FSD is computed for the Beas river watershed in the northwestern Himalayas near Manali, India. It incorporates the recent copolar phase difference (CPD) based FSD inversion model. Moreover, the TerraSAR-X and TANDEM-X bistatic data acquired in January 2016 are used as inputs to the model along with the snow density measurements at the Dhundi ground station. Additionally, apart from applying layover and forest masks, the potential uncertainty sources in the complex mountainous terrains are identified using the H-A-α decomposition and unsupervised Wishart classification techniques. Furthermore, due to the limited number of weather stations, the results are validated using a 3×3 neighbourhood window surrounding the Dhundi site. Also, the effects of different FSD ensemble window sizes are tested for performing sensitivity analysis.
Original language | English |
---|---|
Title of host publication | 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 |
Subtitle of host publication | Proceedings |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Pages | 4102-4105 |
Number of pages | 4 |
ISBN (Electronic) | 978-1-5386-9154-0, 978-1-5386-9153-3 (USB) |
ISBN (Print) | 978-1-5386-9155-7 |
DOIs | |
Publication status | Published - Jul 2019 |
Event | 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Yokohama, Japan Duration: 28 Jul 2019 → 2 Aug 2019 Conference number: 39 |
Publication series
Name | Proceedings IEEE International Geoscience and Remote Sensing Symposium (IGARSS) |
---|---|
Publisher | IEEE |
Volume | 2019 |
ISSN (Print) | 2153-6996 |
ISSN (Electronic) | 2153-7003 |
Conference
Conference | 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 |
---|---|
Abbreviated title | IGARSS 2019 |
Country/Territory | Japan |
City | Yokohama |
Period | 28/07/19 → 2/08/19 |
Keywords
- 22/3 OA procedure