scholarly journals Extrapolating active layer thickness measurements across Arctic polygonal terrain using LiDAR and NDVI data sets

2014 ◽  
Vol 50 (8) ◽  
pp. 6339-6357 ◽  
Author(s):  
Chandana Gangodagamage ◽  
Joel C. Rowland ◽  
Susan S. Hubbard ◽  
Steven P. Brumby ◽  
Anna K. Liljedahl ◽  
...  
2016 ◽  
Vol 28 (1) ◽  
pp. 306-313 ◽  
Author(s):  
Yoshihiro Iijima ◽  
Hotaek Park ◽  
Pavel Ya. Konstantinov ◽  
Grigory G. Pudov ◽  
Alexander N. Fedorov

2013 ◽  
Vol 5 (2) ◽  
pp. 305-310 ◽  
Author(s):  
C. Beer ◽  
A. N. Fedorov ◽  
Y. Torgovkin

Abstract. Based on the map of landscapes and permafrost conditions in Yakutia (Merzlotno-landshaftnaya karta Yakutskoi0 ASSR, Gosgeodeziya SSSR, 1991), rasterized maps of permafrost temperature and active-layer thickness of Yakutia, East Siberia were derived. The mean and standard deviation at 0.5-degree grid cell size are estimated by assigning a probability density function at 0.001-degree spatial resolution. The gridded datasets can be accessed at the PANGAEA repository (doi:10.1594/PANGAEA.808240). Spatial pattern of both variables are dominated by a climatic gradient from north to south, and by mountains and the soil type distribution. Uncertainties are highest in mountains and in the sporadic permafrost zone in the south. The maps are best suited as a benchmark for land surface models which include a permafrost module.


Author(s):  
Chao Wang ◽  
Zhengjia Zhang ◽  
Hong Zhang ◽  
Bo Zhang ◽  
Yixian Tang ◽  
...  

2013 ◽  
Vol 14 (1) ◽  
pp. 74-79 ◽  
Author(s):  
Gon Namkoong ◽  
Jaemin Kong ◽  
Matthew Samson ◽  
In-Wook Hwang ◽  
Kwanghee Lee

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