Earth Syst. Sci. Data, 10, 1807–1827, 2018 https://doi.org/10.5194/essd-10-1807-2018 © Author(s) 2018. This work is distributed under the Creative Commons Attribution 4.0 License. A consistent glacier inventory for Karakoram and Pamir derived from Landsat data: distribution of debris cover and mapping challenges Nico Mölg1, Tobias Bolch1, Philipp Rastner1, Tazio Strozzi2, and Frank Paul1 1Department of Geography, University of Zurich, Winterthurerstr. 190, 8057 Zurich, Switzerland, Switzerland 2Gamma Remote Sensing, Worbstr. 225, 3073 Gümligen, Switzerland Correspondence: Nico Mölg (
[email protected]) Received: 13 March 2018 – Discussion started: 5 April 2018 Revised: 2 August 2018 – Accepted: 8 September 2018 – Published: 10 October 2018 Abstract. Knowledge about the coverage and characteristics of glaciers in High Mountain Asia (HMA) is still incomplete and heterogeneous. However, several applications, such as modelling of past or future glacier devel- opment, run-off, or glacier volume, rely on the existence and accessibility of complete datasets. In particular, precise outlines of glacier extent are required to spatially constrain glacier-specific calculations such as length, area, and volume changes or flow velocities. As a contribution to the Randolph Glacier Inventory (RGI) and the Global Land Ice Measurements from Space (GLIMS) glacier database, we have produced a homogeneous inventory of the Pamir and the Karakoram mountain ranges using 28 Landsat TM and ETMC scenes acquired around the year 2000. We applied a standardized method of automated digital glacier mapping and manual cor- rection using coherence images from the Advanced Land Observing Satellite 1 (ALOS-1) Phased Array type L-band Synthetic Aperture Radar 1 (PALSAR-1) as an additional source of information; we then (i) separated the glacier complexes into individual glaciers using drainage divides derived by watershed analysis from the ASTER global digital elevation model version 2 (GDEM2) and (ii) separately delineated all debris-covered ar- eas.