کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6346786 1621256 2014 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Freeboard and mass extraction of the disintegrated Mertz Ice Tongue with remote sensing and altimetry data
ترجمه فارسی عنوان
برف پاک کن و استخراج جمعی زبان یتیم مارتز درهم شکسته با داده های سنجش از دور و ارتفاع سنجی
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات کامپیوتر در علوم زمین
چکیده انگلیسی


- Demonstrate feasibility of remote sensing data to measure parameters for iceberg
- The evolution of freeboard and mass of the disintegrated Mertz Ice Tongue
- New method of ICESat processing to produce an iceberg freeboard map was observed.

In February 2010, the Mertz Ice Tongue (MIT) collapsed and generated a giant iceberg. However, parameters about this iceberg have not been calculated and published in detail. In this study, the freeboard map of this iceberg was generated for the first time using a time-series ICESat/GLAS data. Methods for producing the freeboard map of this iceberg are suggested. Field data for ice velocity were used to relocate the footprints collected by different campaigns. Cross-validation was conducted with freeboards extracted from crossovers observed within 30 days of each other. The precision of the freeboard extraction is approximately ± 0.50 m, when taking one standard deviation as the precision. The freeboard varied from 23 m to 59 m with the mean of 41 m. With assumption of hydrostatic equilibrium (assuming a snow layer depth of 1 m, a snow density of 360 kg/m3, an ice density of 915 kg/m3 and a sea water density of 1024 kg/m3), the minimum, maximum and average ice thickness were calculated as 210 m, 550 m and 383 m respectively. The total ice loss is approximately 8.96 × 1011 tons over an area, 34 km in width and 75 km in length, or approximately 2560 ± 5 km2. These parameters extracted from remote sensing and altimetry data will provide additional information for studies of the evolution of iceberg, especially in iceberg tracking system.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Remote Sensing of Environment - Volume 144, 25 March 2014, Pages 1-10
نویسندگان
, , , , , ,