Spatially varying WIndow based maximum likelihood feature tracking (SWIFT) method for glacier surface velocity estimations-Reference-Cited by-同舟云学术

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Spatially varying WIndow based maximum likelihood feature tracking (SWIFT) method for glacier surface velocity estimations

Published:2022-06-14 Issue:26 Volume:37 Page:13769-13796
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Tomar Sangita S.¹²³,Ramsankaran Raaj²^ORCID,Walker Jeffrey P.³

Affiliation:

1. IITB-Monash Research Academy, Mumbai, India

2. Department of Civil Engineering, Hydro-Remote Sensing Applications (H-RSA) Group, Indian Institute of Technology Bombay, Mumbai, India

3. Department of Civil Engineering, Monash University, Melbourne, Australia

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2022.2082556

Reference65 articles.

1. Efficient Automated Glacier Surface Velocity Measurement From Repeat Images Using Multi-Image/Multichip and Null Exclusion Feature Tracking

2. Extracting recent short-term glacier velocity evolution over southern Alaska and the Yukon from a large collection of Landsat data

3. Uncertainty in quantitative analyses of topographic change: error propagation and the role of thresholding

4. From balance to imbalance: a shift in the dynamic behaviour of Chhota Shigri glacier, western Himalaya, India

5. Surge-type and surge-modified glaciers in the Karakoram

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