کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4459491 | 1621285 | 2011 | 11 صفحه PDF | دانلود رایگان |
Due to the high temporal sampling rate of ASAR Global Monitoring (GM) mode, it has a high application potential for analyzing the land surface freeze/thaw process in high latitudes. This study aims to develop effective methods of extracting freeze/thaw transition dates of permafrost areas from ASAR GM data sets. In order to use ASAR GM time-series for analyzing freeze/thaw states, a least square fitting of piecewise step function is introduced. The thawing date can be determined by minimizing the sum of squared residuals between measured backscattering time-series and a pre-defined step function. An experimental result for a Siberian permafrost region illustrates that it can be a promising approach in monitoring permafrost ecosystems.
► ENVISAT ASAR GM has high application potential for analyzing freeze/thaw process.
► We examine usability of ASAR GM to analyze seasonal processes in high latitudes.
► Threshold approaches can be hardly applicable to the ASAR GM data.
► Rigorous method of extracting freeze/thaw dates from GM time-series is presented.
► The method is validated against meteorological data and snowmelt timing.
Journal: Remote Sensing of Environment - Volume 115, Issue 12, 15 December 2011, Pages 3457–3467