From point to area: Upscaling approaches for Late Quaternary archaeological and environmental data

Schlummer, Manuela; Hoffmann, Thomas; Dikau, Richard; Eickmeier, Michael; Fischer, Peter; Gerlach, Renate; Holzkämper, Jörg; Kalis, Arie J.; Kretschmer, Inga; Lauer, Franziska; Maier, Andreas; Meesenburg, Janina; Meurers-Balke, Jutta; Münch, U.; Pätzold, Stefan; Steininger, Florian; Stobbe, Astrid; Zimmermann, Andreas

doi:10.1016/j.earscirev.2014.01.004

Cited by 29 publications

(18 citation statements)

References 80 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…With the DEMs provided by the Shuttle Radar Topography Mission (SRTM) and the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), two medium resolution datasets of near-global coverage became available since 2003 and fostered the use of digital topographic elevation for geomorphological analysis (Smith et al, 2006;Suwandana et al, 2012). GIS-based application of digital topographic information incorporating qualitative and quantitative analysis techniques allows synoptic landscape analysis and facilitates the transfer of field research results exclusively provided on a local scale to larger investigation areas, thus helping to overcome the classic geographic problem of upscaling (Smith and Pain, 2009;Gonga-Saholiariliva et al, 2011;Schlummer et al, 2014). Moreover, remote topographic analysis approaches are of particular relevance for study areas where access is restricted, e.g., by topography, remoteness, lack of infrastructure or for political reasons.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of TanDEM-X elevation data for geomorphological mapping and interpretation in high mountain environments — A case study from SE Tibet, China

2015

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Evaluation of TanDEM-X elevation data for geomorphological mapping and interpretation in high mountain environments — A case study from SE Tibet, China

2015

View full text Add to dashboard Cite

“…The transfer of knowledge from a finer resolution to a coarser resolution is referred to as upscaling in order to mostly reduce computational costs (Schlummer et al 2014). However, spatial resolutions of many models or data are sometimes too coarse to be used for analyses on regional or local scales.…”

Section: Discussionmentioning

confidence: 99%

A fundamental theorem of Earth’s surface modelling

et al. 2016

View full text Add to dashboard Cite

Ground observation is able to obtain highly accurate data with high temporal resolution at observation points, but these observation points are too sparse to satisfy some application requirements. Satellite remote sensing and system models can frequently supply spatially continuous information about the Earth's surface, which is impossible from ground-based investigations, but remote sensing description and system model simulation are not able to directly obtain process parameters. The most effective method for Earth surface modelling entails the integration of satellite observations or system models with ground observations. However, the full integration was ignored in most of the methods. For finding a solution for this problem, we suggest an alternative method, high accuracy surface modeling (HASM), which takes global approximate information (e.g., remote sensing images or model simulation results) as its driving field and local accurate information (e.g., ground observation data and/or sampling data) as its optimum control constraints. HASM completes its operation when its output satisfies the iteration stopping criterion which is determined by application requirement for accuracy. A Fundamental Theorem of Earth Surface Modelling (FTESM) is abstracted on the basis of applying HASM to simulating surfaces of elevation, soil properties, changes of ecosystem services, and driving forces of the changes on multi-scales for about 20 years. FTESM is described as ''an Earth's surface system or a component surface of the Earth's surface environment can be simulated with HASM when its spatial resolution is fine enough, which is uniquely defined by both extrinsic and intrinsic invariants of the surface''. From FTESM, seven corollaries have been deduced, corresponding to interpolation, upsaling, downscaling, data fusion and data assimilation respectively.

show abstract

“…This presents a scaling challenge when relating paleoenvironmental proxy data from point locations to paleoenvironmental reconstructions from models. Predictive and process--based paleodistribution models are, in fact, upscaling methods that use environmental maps to model phenomena at larger spatial scales (Schlummer et al, 2014). The challenge of spatially up--scaling sufficient quantities of independent paleoenvironmental data for model validation can be addressed by collecting additional data and by aggregating point data into regional archives.…”

Section: Paleoclimate and Distribution Data For Validationmentioning

confidence: 99%

“…The challenge of spatially up--scaling sufficient quantities of independent paleoenvironmental data for model validation can be addressed by collecting additional data and by aggregating point data into regional archives. The comprehensive review by Schlummer et al (2014) describes five approaches for upscaling from points to areas in archaeological research based on terrestrial archives. These approaches are: a) pattern recognition, b) spatial interpolation, c) predictive modeling, d) process--based modeling and e) implicit upscaling to map units.…”

Section: Paleoclimate and Distribution Data For Validationmentioning

confidence: 99%