| Pan-Arctic ice-wedge degradation in warming permafrost and its influence on tundra hydrology AK Liljedahl, J Boike, RP Daanen, AN Fedorov, GV Frost, G Grosse, ... Nature Geoscience 9 (4), 312-318, 2016 | 487* | 2016 |
| Cold season emissions dominate the Arctic tundra methane budget D Zona, B Gioli, R Commane, J Lindaas, SC Wofsy, CE Miller, SJ Dinardo, ... Proceedings of the National Academy of Sciences 113 (1), 40-45, 2016 | 267 | 2016 |
| Nonlinear controls on evapotranspiration in arctic coastal wetlands AK Liljedahl, LD Hinzman, Y Harazono, D Zona, CE Tweedie, ... Biogeosciences 8 (11), 3375-3389, 2011 | 104 | 2011 |
| Interactions between soil thermal and hydrological dynamics in the response of Alaska ecosystems to fire disturbance S Yi, AD McGuire, J Harden, E Kasischke, K Manies, L Hinzman, ... Journal of Geophysical Research: Biogeosciences 114 (G2), 2009 | 102 | 2009 |
| Deep convolutional neural networks for automated characterization of arctic ice-wedge polygons in very high spatial resolution aerial imagery W Zhang, C Witharana, AK Liljedahl, M Kanevskiy Remote Sensing 10 (9), 1487, 2018 | 81 | 2018 |
| Ice-wedge polygon type controls low-gradient watershed-scale hydrology AK Liljedahl, LD Hinzman, J Schulla Proceedings of the Tenth International Conference on Permafrost 1, 231-236, 2012 | 70 | 2012 |
| Using field observations to inform thermal hydrology models of permafrost dynamics with ATS (v0. 83) AL Atchley, SL Painter, DR Harp, ET Coon, CJ Wilson, AK Liljedahl, ... Geoscientific Model Development 8 (9), 2701-2722, 2015 | 67 | 2015 |
| Depth, ice thickness, and ice‐out timing cause divergent hydrologic responses among Arctic lakes CD Arp, BM Jones, AK Liljedahl, KM Hinkel, JA Welker Water Resources Research 51 (12), 9379-9401, 2015 | 66 | 2015 |
| Physical short‐term changes after a tussock tundra fire, Seward Peninsula, Alaska A Liljedahl, L Hinzman, R Busey, K Yoshikawa Journal of Geophysical Research: Earth Surface 112 (F2), 2007 | 62 | 2007 |
| Extrapolating active layer thickness measurements across Arctic polygonal terrain using LiDAR and NDVI data sets C Gangodagamage, JC Rowland, SS Hubbard, SP Brumby, AK Liljedahl, ... Water resources research 50 (8), 6339-6357, 2014 | 55 | 2014 |
| Large CO2 and CH4 emissions from polygonal tundra during spring thaw in northern Alaska N Raz‐Yaseef, MS Torn, Y Wu, DP Billesbach, AK Liljedahl, TJ Kneafsey, ... Geophysical Research Letters 44 (1), 504-513, 2017 | 47 | 2017 |
| Glacierized headwater streams as aquifer recharge corridors, subarctic Alaska AK Liljedahl, A Gädeke, S O'Neel, TA Gatesman, TA Douglas Geophysical Research Letters 44 (13), 6876-6885, 2017 | 37 | 2017 |
| Recent extreme runoff observations from coastal Arctic watersheds in Alaska SL Stuefer, CD Arp, DL Kane, AK Liljedahl Water Resources Research 53 (11), 9145-9163, 2017 | 32 | 2017 |
| Use of very high spatial resolution commercial satellite imagery and deep learning to automatically map ice-wedge polygons across tundra vegetation types MAE Bhuiyan, C Witharana, AK Liljedahl Journal of Imaging 6 (12), 137, 2020 | 28 | 2020 |
| Delayed responses of an Arctic ecosystem to an extreme summer: impacts on net ecosystem exchange and vegetation functioning D Zona, DA Lipson, JH Richards, GK Phoenix, AK Liljedahl, M Ueyama, ... Biogeosciences 11 (20), 5877-5888, 2014 | 28 | 2014 |
| Degrading permafrost mapped with electrical resistivity tomography, airborne imagery and LiDAR, and seasonal thaw measurements TA Douglas, MT Jorgenson, DRN Brown, SW Campbell, CA Hiemstra, ... Geophysics 81 (1), WA71-WA85, 2016 | 26 | 2016 |
| Mapping snow depth within a tundra ecosystem using multiscale observations and Bayesian methods HM Wainwright, AK Liljedahl, B Dafflon, C Ulrich, JE Peterson, ... The Cryosphere 11 (2), 857-875, 2017 | 25 | 2017 |
| Understanding the synergies of deep learning and data fusion of multispectral and panchromatic high resolution commercial satellite imagery for automated ice-wedge polygon … C Witharana, MAE Bhuiyan, AK Liljedahl, M Kanevskiy, HE Epstein, ... ISPRS Journal of Photogrammetry and Remote Sensing 170, 174-191, 2020 | 23 | 2020 |
| Transferability of the deep learning mask R-CNN model for automated mapping of ice-wedge polygons in high-resolution satellite and UAV images W Zhang, AK Liljedahl, M Kanevskiy, HE Epstein, BM Jones, ... Remote Sensing 12 (7), 1085, 2020 | 23 | 2020 |
| Regional patterns and asynchronous onset of ice-wedge degradation since the mid-20th century in Arctic Alaska GV Frost, T Christopherson, MT Jorgenson, AK Liljedahl, MJ Macander, ... Remote Sensing 10 (8), 1312, 2018 | 23 | 2018 |
Ronald DaanenDGGSVerified email at alaska.gov
