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Remote sensing of mountain snow using active microwave sensors: a review
Snow and Avalanche Study Establishment, Defence Research and Development Organization (DRDO), Him Parisar, Sector-37A, Chandigarh.
Snow and Avalanche Study Establishment, Defence Research and Development Organization (DRDO), Him Parisar, Sector-37A, Chandigarh, Motilal Nehru National Institute of Technology (MNNIT), Allahabad.
Snow and Avalanche Study Establishment, Defence Research and Development Organization (DRDO), Him Parisar, Sector-37A, Chandigarh, Motilal Nehru National Institute of Technology (MNNIT), Allahabad.
Snow and Avalanche Study Establishment, Defence Research and Development Organization (DRDO), Him Parisar, Sector-37A, Chandigarh.ORCID iD: 0000-0002-2502-6384
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2015 (English)In: Geocarto International, ISSN 1010-6049, E-ISSN 1752-0762, Vol. 30, no 1, p. 1-27Article in journal (Refereed) Published
Abstract [en]

This work provides an overview of various methods for estimating snow cover and properties in high mountains using remote sensing techniques involving microwaves. Satellite-based remote sensing with its characteristics such as synoptic view, repetitive coverage and uniformity over large areas has great potential for identifying the temporal snow cover. Many sensors have been used in the past with various algorithms and accuracies for this purpose. These methods have been improving with the use of Synthetic Aperture Radar sensors, working in different microwave frequencies, polarisation and acquisition modes. The limitations, advantages and drawbacks are illustrated while error sources and strategies on how to ease their impacts are also reviewed. An extensive list of references, with an emphasis on studies since 1990s, allows the reader to delve into specific topics

Place, publisher, year, edition, pages
2015. Vol. 30, no 1, p. 1-27
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Aerospace Engineering
Research subject
Atmospheric science
Identifiers
URN: urn:nbn:se:ltu:diva-10669DOI: 10.1080/10106049.2014.883434Local ID: 981d40be-1864-4d7a-b52a-fad9ed788fb0OAI: oai:DiVA.org:ltu-10669DiVA, id: diva2:983615
Note
Upprättat; 2015; 20160701 (andbra)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved

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Bhardwaj, Anshuman

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