Publications

@article{lausch2022remote,

title = {Remote sensing of geomorphodiversity linked to biodiversity—part III: traits, processes and remote sensing characteristics},

author = {Angela Lausch and Michael E Schaepman and Andrew K Skidmore and Eusebiu Catana and Lutz Bannehr and Olaf Bastian and Erik Borg and Jan Bumberger and Peter Dietrich and Cornelia Glässer and others},

doi = {10.3390/rs14092279},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Remote Sensing},

volume = {14},

number = {9},

pages = {2279},

publisher = {MDPI},

keywords = {Data science, Geodiversity, Geomorphology, Land-use-intensity, Remote Sensing, Spectral traits, Traits},

pubstate = {published},

tppubtype = {article}

}

@article{Lausch_2020,

title = {Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces},

author = {Angela Lausch and Michael E. Schaepman and Andrew K. Skidmore and Sina C. Truckenbrodt and Jörg M. Hacker and Jussi Baade and Lutz Bannehr and Erik Borg and Jan Bumberger and Peter Dietrich and Cornelia Gläßer and Dagmar Haase and Marco Heurich and Thomas Jagdhuber and Sven Jany and Rudolf Krönert and Markus Möller and Hannes Mollenhauer and Carsten Montzka and Marion Pause and Christian Rogass and Nesrin Salepci and Christiane Schmullius and Franziska Schrodt and Claudia Schütze and Christian Schweitzer and Peter Selsam and Daniel Spengler and Michael Vohland and Martin Volk and Ute Weber and Thilo Wellmann and Ulrike Werban and Steffen Zacharias and Christian Thiel},

url = {https://doi.org/10.3390%2Frs12223690},

doi = {10.3390/rs12223690},

year  = {2020},

date = {2020-11-01},

urldate = {2020-11-01},

journal = {Remote Sensing},

volume = {12},

number = {22},

pages = {3690},

publisher = {MDPI AG},

abstract = {The status, changes, and disturbances in geomorphological regimes can be regarded as controlling and regulating factors for biodiversity. Therefore, monitoring geomorphology at local, regional, and global scales is not only necessary to conserve geodiversity, but also to preserve biodiversity, as well as to improve biodiversity conservation and ecosystem management. Numerous remote sensing (RS) approaches and platforms have been used in the past to enable a cost-effective, increasingly freely available, comprehensive, repetitive, standardized, and objective monitoring of geomorphological characteristics and their traits. This contribution provides a state-of-the-art review for the RS-based monitoring of these characteristics and traits, by presenting examples of aeolian, fluvial, and coastal landforms. Different examples for monitoring geomorphology as a crucial discipline of geodiversity using RS are provided, discussing the implementation of RS technologies such as LiDAR, RADAR, as well as multi-spectral and hyperspectral sensor technologies. Furthermore, data products and RS technologies that could be used in the future for monitoring geomorphology are introduced. The use of spectral traits (ST) and spectral trait variation (STV) approaches with RS enable the status, changes, and disturbances of geomorphic diversity to be monitored. We focus on the requirements for future geomorphology monitoring specifically aimed at overcoming some key limitations of ecological modeling, namely: the implementation and linking of in-situ, close-range, air- and spaceborne RS technologies, geomorphic traits, and data science approaches as crucial components for a better understanding of the geomorphic impacts on complex ecosystems. This paper aims to impart multidimensional geomorphic information obtained by RS for improved utilization in biodiversity monitoring. },

keywords = {Earth observation, Geodiversity, Geomorphology, Monitoring, Spectral traits, Traits},

pubstate = {published},

tppubtype = {article}

}