Compiling a new glacier inventory for southeastern Qinghai–Tibet Plateau from Landsat and PALSAR data

• Published in: Journal of Glaciology
• Main Authors: KE, LINGHONG, DING, XIAOLI, ZHANG, LEI, HU, JUN, SHUM, C. K., LU, ZHONG
• Format: Article in Journal/Newspaper
• Language: English
• Published: Cambridge University Press (CUP) 2016
• Subjects: New Glacier; Journal of Glaciology
• Online Access: http://dx.doi.org/10.1017/jog.2016.58; https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022143016000587

ABSTRACT Glacier change has been recognized as an important climate variable due to its sensitive response to climate change. Although there are a large number of glaciers distributed over the southeastern Qinghai–Tibetan Plateau, the region is poorly represented in glacier databases due to seasonal snow cover and frequent cloud cover. Here, we present an improved glacier inventory for this region by combining Landsat observations acquired over 2011–13 (Landsat 8/OLI and Landsat TM/ETM+), coherence images from Advanced Land Observing Satellite Phased Array type L-band Synthetic Aperture Radar images and the Shuttle Radar Topography Mission (SRTM) DEM. We present a semi-automated scheme for integrating observations from multi-temporal Landsat scenes to mitigate cloud obscuration. Further, the clean-ice observations, together with coherence information, slope constraints, vegetation cover and water classification information extracted from the Landsat scenes, are integrated to determine the debris-covered glacier area. After manual editing, we derive a new glacier inventory containing 6892 glaciers >0.02 km 2 , covering a total area of 6566 ± 197 km 2 . This new glacier inventory indicates gross overestimation in glacier area (over 30%) in previously published glacier inventories, and reveals various spatial characteristics of glaciers in the region. Our inventory can be used as a baseline dataset for future studies including glacier change assessment.