Baseline data for monitoring geomorphological effects of glacier lake outburst flood: A very high-resolution image and GIS datasets of the distal part of the Zackenberg River, northeast Greenland
{"title":"Baseline data for monitoring geomorphological effects of glacier lake outburst flood: A very high-resolution image and GIS datasets of the distal part of the Zackenberg River, northeast Greenland","authors":"A. Tomczyk, M. Ewertowski","doi":"10.5194/ESSD-2021-48","DOIUrl":null,"url":null,"abstract":"Abstract. The Arctic regions experience intense transformations, such that efficient methods are needed to monitor and understand Arcticlandscape changes in response to climate warming and low-frequency high-magnitude events. One example of such events,capable of causing serious landscape changes, is glacier lake outburst floods. On 6 August 2017, a flood event related to glacial lake outburst affected the Zackenberg River (NE Greenland). Here, we provided a very high-resolution dataset representingunique time-series of data captured immediately before (5 August 2017), during (6 August 2017), and after (8 August 2017)the flood. Our dataset covers a 2.1-km-long distal section of the Zackenberg River. The available files comprise: (1)unprocessed images captured using an unmanned aerial vehicle (UAV): https://doi.org/10.5281/zenodo.4495282 (Tomczykand Ewertowski, 2021a); and (2) results of structure-from-motion (SfM) processing (orthomosaics, digital elevation models, and hillshade models in a raster format), uncertainty assessments (precision maps) and effects of geomorphological mappingin vector formats: https://doi.org/10.5281/zenodo.4498296 (Tomczyk and Ewertowski, 2021b). Potential applications of thepresented dataset include: (1) assessment and quantification of landscape changes as an immediate result of glacier lakeoutburst flood; (2) long-term monitoring of high-Arctic river valley development (in conjunction with other datasets); (3)establishing a baseline for quantification of geomorphological impacts of future glacier lake outburst floods; (4) assessment of geohazards related to bank erosion and debris flow development (hazards for research station infrastructure – station buildingsand bridge); (5) monitoring of permafrost degradation; and (6) modelling flood impacts on river ecosystem, transport capacity,and channel stability. \n","PeriodicalId":326085,"journal":{"name":"Earth System Science Data Discussions","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Earth System Science Data Discussions","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5194/ESSD-2021-48","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Abstract. The Arctic regions experience intense transformations, such that efficient methods are needed to monitor and understand Arcticlandscape changes in response to climate warming and low-frequency high-magnitude events. One example of such events,capable of causing serious landscape changes, is glacier lake outburst floods. On 6 August 2017, a flood event related to glacial lake outburst affected the Zackenberg River (NE Greenland). Here, we provided a very high-resolution dataset representingunique time-series of data captured immediately before (5 August 2017), during (6 August 2017), and after (8 August 2017)the flood. Our dataset covers a 2.1-km-long distal section of the Zackenberg River. The available files comprise: (1)unprocessed images captured using an unmanned aerial vehicle (UAV): https://doi.org/10.5281/zenodo.4495282 (Tomczykand Ewertowski, 2021a); and (2) results of structure-from-motion (SfM) processing (orthomosaics, digital elevation models, and hillshade models in a raster format), uncertainty assessments (precision maps) and effects of geomorphological mappingin vector formats: https://doi.org/10.5281/zenodo.4498296 (Tomczyk and Ewertowski, 2021b). Potential applications of thepresented dataset include: (1) assessment and quantification of landscape changes as an immediate result of glacier lakeoutburst flood; (2) long-term monitoring of high-Arctic river valley development (in conjunction with other datasets); (3)establishing a baseline for quantification of geomorphological impacts of future glacier lake outburst floods; (4) assessment of geohazards related to bank erosion and debris flow development (hazards for research station infrastructure – station buildingsand bridge); (5) monitoring of permafrost degradation; and (6) modelling flood impacts on river ecosystem, transport capacity,and channel stability.