Karsten Schulz

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European Research Center for Information Systems, University of Münster, Münster, Germany; Faculty of Information Technology, Queensland University of Technology, Brisbane, Queensland, Australia; Department of Technology Management, Eindhoven University of Technology, MB Eindhoven, The Netherlands; SAP Research, SAP AG, Walldorf, Germany; SAP Research, SAP(More)
A methodology based on fuzzy set theory is presented to express imprecision of input data in a non-probabilitic sense. Imprecision may originate from indirect measurements, estimation routines, subjective interpretation, and expert judgement of available information. A numerical finite difference solution scheme was chosen to solve one-dimensional(More)
Land cover classification has been widely investigated in remote sensing for agricultural, ecological and hydrological applications. Landsat images with multispectral bands are commonly used to study the numerous classification methods in order to improve the classification accuracy. Thermal remote sensing provides valuable information to investigate the(More)
Leaf area index (LAI) and water content (WC) in the root zone are two major hydro-meteorological parameters that exhibit a dominant control on water, energy and carbon fluxes, and are therefore important for any regional eco-hydrological or climatological study. To investigate the potential for retrieving these parameter from hyperspectral remote sensing,(More)
1 College of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China 2 Fujian Provincial Engineering Research Center for Monitoring and Assessing Terrestrial Disasters, Fuzhou 350007, China 3Department of Geography, Ludwig-Maximilians-Universität München, 80333 Munich, Germany 4 Institute of Water Management, Hydrology and Hydraulic(More)
Following the suggestion made by Johnson (Johnson B.A., 2015), a polygonbased cross validation (CV) method is compared to the pixel-based CV method to classify different levels of land cover categories using a single-date Landsat 8 image and time series of Landsat TM images. Also, different variants of band combinations, with and without the thermal bands,(More)