TY - JOUR A1 - Nitze, Ingmar A1 - Grosse, Guido T1 - Detection of landscape dynamics in the Arctic Lena Delta with temporally dense Landsat time-series stacks JF - Remote sensing of environment : an interdisciplinary journal N2 - Arctic permafrost landscapes are among the most vulnerable and dynamic landscapes globally, but due to their extent and remoteness most of the landscape changes remain unnoticed. In order to detect disturbances in these areas we developed an automated processing chain for the calculation and analysis of robust trends of key land surface indicators based on the full record of available Landsat TM, ETM +, and OLI data. The methodology was applied to the similar to 29,000 km(2) Lena Delta in Northeast Siberia, where robust trend parameters (slope, confidence intervals of the slope, and intercept) were calculated for Tasseled Cap Greenness, Wetness and Brightness, NDVI, and NDWI, and NDMI based on 204 Landsat scenes for the observation period between 1999 and 2014. The resulting datasets revealed regional greening trends within the Lena Delta with several localized hot-spots of change, particularly in the vicinity of the main river channels. With a 30-m spatial resolution various permafrost-thaw related processes and disturbances, such as thermokarst lake expansion and drainage, fluvial erosion, and coastal changes were detected within the Lena Delta region, many of which have not been noticed or described before. Such hotspots of permafrost change exhibit significantly different trend parameters compared to non-disturbed areas. The processed dataset, which is made freely available through the data archive PANGAEA, will be a useful resource for further process specific analysis by researchers and land managers. With the high level of automation and the use of the freely available Landsat archive data, the workflow is scalable and transferrable to other regions, which should enable the comparison of land surface changes in different permafrost affected regions and help to understand and quantify permafrost landscape dynamics. (C) 2016 Elsevier Inc. All rights reserved. KW - Trend analysis KW - Permafrost thaw KW - Thermokarst KW - Thermoerosion KW - Land cover disturbances KW - River delta KW - Arctic tundra KW - Vegetation greening KW - Vegetation change KW - Coastal dynamics KW - Siberia Y1 - 2016 U6 - https://doi.org/10.1016/j.rse.2016.03.038 SN - 0034-4257 SN - 1879-0704 VL - 181 SP - 27 EP - 41 PB - Elsevier CY - New York ER - TY - JOUR A1 - Rudaya, Natalia A1 - Nazarova, Larisa B. A1 - Novenko, Elena A1 - Andreev, Andrei A1 - Kalugin, Ivan A1 - Daryin, Andrei A1 - Babich, Valery A1 - Li, Hong-Chun A1 - Shilov, Pavel T1 - Quantitative reconstructions of mid- to late holocene climate and vegetation in the north-eastern altai mountains recorded in lake teletskoye JF - Global and planetary change N2 - We report the first high-resolution (20-50 years) mid- to late Holocene pollen records from Lake Teletskoye, the largest lake in the Altai Mountains, in south-eastern West Siberia. Generally, the mid- to late Holocene (the last 4250 years) vegetation of the north-eastern Altai, as recorded in two studied sediment cores, is characterised by Siberian pine-spruce-fir forests that are similar to those of the present day. A relatively cool and dry interval with July temperatures lower than those of today occurred between 3.9 and 3.6 ka BP. The widespread distribution of open, steppe-like communities with Artemisia, Chenopodiaceae and Cyperaceae reflects maximum deforestation during this interval. After ca. 3.5 ka BP, the coniferous mountain taiga spread significantly, with maximum woody coverage and taiga biome scores between ca. 2.7 and 1.6 ka BP. This coincides well with the highest July temperature (approximately 1 degrees C higher than today) intervals. A short period of cooling about 13-1.4 ka BP could have been triggered by the increased volcanic activity recorded across the Northern Hemisphere. A new period of cooling started around 1100-1150 CE, with the minimum July temperatures occurring between 1450 and 1800 CE. (C) 2016 Elsevier B.V. All rights reserved. KW - Mid-late Holocene KW - Siberia KW - Altai KW - Pollen KW - Climate KW - Vegetation KW - Transfer function KW - Woody coverage Y1 - 2016 U6 - https://doi.org/10.1016/j.gloplacha.2016.04.002 SN - 0921-8181 SN - 1872-6364 VL - 141 SP - 12 EP - 24 PB - Elsevier CY - Amsterdam ER -