The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners.
As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.
i
Derivation and validation of supraglacial lake volumes on the Greenland Ice Sheet from high-resolution satellite imagery
-
2016
-
-
Source: Remote Sensing of Environment, 183, 294-303
[PDF-1.38 MB]
Details:
-
Journal Title:Remote Sensing of Environment
-
Personal Author:
-
NOAA Program & Office:
-
Description:Supraglacial meltwater lakes on the western Greenland Ice Sheet (GrIS) are critical components of its surface hydrology and surface mass balance, and they also affect its ice dynamics. Estimates of lake volume, however, are limited by the availability of in situ measurements of water depth, which in turn also limits the assessment of remotely sensed lake depths. Given the logistical difficulty of collecting physical bathymetric measurements, methods relying upon in situ data are generally restricted to small areas and thus their application to large-scale studies is difficult to validate. Here, we produce and validate spaceborne estimates of supraglacial lake volumes across a relatively large area (1250 km2) of west Greenland's ablation region using data acquired by the WorldView-2 (WV-2) sensor, making use of both its stereo-imaging capability and its meter-scale resolution. We employ spectrally-derived depth retrieval models, which are either based on absolute reflectance (single-channel model) or a ratio of spectral reflectances in two bands (dual-channel model). These models are calibrated by using WV-2 multispectral imagery acquired early in the melt season and depth measurements from a high resolution WV-2 DEM over the same lake basins when devoid of water. The calibrated models are then validated with different lakes in the area, for which we determined depths. Lake depth estimates based on measurements recorded in WV-2's blue (450–510 nm), green (510–580 nm), and red (630–690 nm) bands and dual-channel modes (blue/green, blue/red, and green/red band combinations) had near-zero bias, an average root-mean-squared deviation of 0.4 m (relative to post-drainage DEMs), and an average volumetric error of < 1%. The approach outlined in this study – image-based calibration of depth-retrieval models – significantly improves spaceborne supraglacial bathymetry retrievals, which are completely independent from in situ measurements.
-
Source:Remote Sensing of Environment, 183, 294-303
-
DOI:
-
ISSN:0034-4257
-
Format:
-
Publisher:
-
Document Type:
-
Rights Information:Accepted Manuscript
-
Rights Statement:The NOAA IR provides access to this content under the authority of the government's retained license to distribute publications and data resulting from federal funding. While users may legally access this content, the copyright owners retain rights that govern the reproduction, redistribution, and re-use of this work. The user is solely responsible for complying with applicable copyright law.
-
Compliance:Library
-
Main Document Checksum:
-
Download URL:
-
File Type:
