% IMPORTANT: The following is UTF-8 encoded. This means that in the presence % of non-ASCII characters, it will not work with BibTeX 0.99 or older. % Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or % “biber”. @PHDTHESIS{Drwald:1002599, author = {Dörwald, Lukas}, othercontributors = {Lehmkuhl, Frank and Stauch, Georg and Yang, Xiaoping}, title = {{D}unes influenced by climate change : remote sensing observations from the northeastern {T}ibetan {P}lateau}, school = {Rheinisch-Westfälische Technische Hochschule Aachen}, type = {Dissertation}, address = {Aachen}, publisher = {RWTH Aachen University}, reportid = {RWTH-2025-00563}, pages = {1 Online-Ressource : Illustrationen}, year = {2024}, note = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen University 2025; Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2024}, abstract = {Climate changes are an ongoing process around the globe. One of the most vulnerable areas are drylands. Desertification is widely reported in most of these areas and is of particular research interest due to its influence on human infrastructures and habitat, as drylands are home to approximately $40\%$ of the human population. The extent of global drylands fluctuates since the 1940s with a general increase, peaking in the period of 1980-2008 with $3.1\%$ increase relative to 1948-1979 (Li et al., 2019). Under different scenarios of global warming, arid and semi-arid areas could potentially expand up to $7-12\%$ in size effecting more people by the year 2100 (Feng and Fu, 2013; Koutroulis, 2019; Yao et al., 2020). One of the most common geomorphic features in arid and semi-arid environments are dunes. They show fast reaction times to changes in local climatic conditions and have been used to study and reconstruct short- and long-term climatic changes by multiple researchers. The northeastern Tibetan Plateau (TP) is widely regarded as the third pole and holds a unique regional configuration of high elevation and varying topography. For humans and other lifeforms, the TP is of high importance due to its role as a water source, feeding multiple large river networks, including the Yangtze, the Yellow River, the Indus, and the Ganges. The main wind regimes are the mid-latitude Westerlies, dominant in the winter months, and the East Asian Summer Monsoon (EASM). This combination results in extreme seasonality with dry, cold, and windy winters and rainy, mild summer months. Dunes are landscape features which are widely distributed among the northeastern TP. Sand sources are manifold with erosive sediment from mountain processes to fluvial material being blown out. However, dune specific studies with a recent time focus are still scarce on the northeastern TP. Also, the study of a high number of individual dunes in relation to wind derived values for their exact position is not that common. The main dune type found in the study areas are barchan dunes, both in dune fields and solitary. The presented thesis aims to analyze dune migration rates, dune field density, and sand sheet area development on the northeastern TP in relation to climate changes of the past six decades. Dune migration rates as the main metric, as well as dune field density are extracted from multitemporal satellite imagery observation. A key data source to achieve this task are the CORONA KH-4B satellite images from the 1960s. They have a sufficiently high spatial resolution of up to 1.8 m making identification of singular barchan dunes possible. Wind information is mainly extracted from the ERA-5 reanalysis dataset (30 km spatial resolution) in order to cover the given time period. Here, drift potential and related indices are calculated, analyzed and compared to the selected dunes spatially and temporarily. These datasets are completed with ERA5-Land reanalysis data (9 km spatial resolution) for temperature and precipitation, and Normalized Difference Vegetation Index (NDVI) from Landsat 5, 7, and 8 images since 1987. Upon the broad northeastern TP, three focus regions were chosen, as well as one at the northern margin to get comparative data across the region, and the neighboring areas. Though the three presented studies the results show a good correlation between dunes as actual landscape features and climate model data, represented by ERA-5. However, regional contrasts become apparent in terms of dune migration rates, where the influence of the main wind regimes are dominant. It was found, that the Westerlies, still the dominant driver for aeolian transport, are weaker in the summer months, while dominant in winter. This north-to-south gradient is well represented in the migration rates of 563 mapped and measured barchan dunes across the northeastern Tibetan Plateau, a big repository of dune movement data. Also, where the EASM is more influential, hardly any barchans are found. Further, human impact was considered and is found to alter natural development measurable as presented by dune field density data in agricultural areas.}, cin = {551610 / 530000}, ddc = {550}, cid = {$I:(DE-82)551610_20140620$ / $I:(DE-82)530000_20140620$}, pnm = {BMBF 01LP2003A - Klimaforschung mit China - Dünen als Indikator für den Klimawandel in Zentralasien (DUNE) (01LP2003A)}, pid = {G:(BMBF)01LP2003A}, typ = {PUB:(DE-HGF)11}, doi = {10.18154/RWTH-2025-00563}, url = {https://publications.rwth-aachen.de/record/1002599}, }