X-band polarimetric sar copolar phase difference for fresh snow depth estimation in the Northwestern Himalayan watershed

Sayantan Majumdar, Praveen K. Thakur, Ling Chang, Shashi Kumar

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)
80 Downloads (Pure)

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 languageEnglish
Title of host publication2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
Subtitle of host publicationProceedings
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages4102-4105
Number of pages4
ISBN (Electronic)978-1-5386-9154-0, 978-1-5386-9153-3 (USB)
ISBN (Print)978-1-5386-9155-7
DOIs
Publication statusPublished - Jul 2019
Event39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Yokohama, Japan
Duration: 28 Jul 20192 Aug 2019
Conference number: 39

Publication series

NameProceedings IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
PublisherIEEE
Volume2019
ISSN (Print)2153-6996
ISSN (Electronic)2153-7003

Conference

Conference39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
Abbreviated titleIGARSS 2019
Country/TerritoryJapan
CityYokohama
Period28/07/192/08/19

Keywords

  • 22/3 OA procedure

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