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@ARTICLE{Lausch:887773,
      author       = {Lausch, Angela and Schaepman, Michael E. and Skidmore,
                      Andrew K. and Truckenbrodt, Sina C. and Hacker, Jörg M. and
                      Baade, Jussi and Bannehr, Lutz and Borg, Erik and Bumberger,
                      Jan and Dietrich, Peter and Gläßer, Cornelia and Haase,
                      Dagmar and Heurich, Marco and Jagdhuber, Thomas and Jany,
                      Sven and Krönert, Rudolf and Möller, Markus and
                      Mollenhauer, Hannes and Montzka, Carsten and Pause, Marion
                      and Rogass, Christian and Salepci, Nesrin and Schmullius,
                      Christiane and Schrodt, Franziska and Schütze, Claudia and
                      Schweitzer, Christian and Selsam, Peter and Spengler, Daniel
                      and Vohland, Michael and Volk, Martin and Weber, Ute and
                      Wellmann, Thilo and Werban, Ulrike and Zacharias, Steffen
                      and Thiel, Christian},
      title        = {{L}inking the {R}emote {S}ensing of {G}eodiversity and
                      {T}raits {R}elevant to {B}iodiversity—{P}art {II}:
                      {G}eomorphology, {T}errain and {S}urfaces},
      journal      = {Remote sensing},
      volume       = {12},
      number       = {22},
      issn         = {2072-4292},
      address      = {Basel},
      publisher    = {MDPI},
      reportid     = {FZJ-2020-04410},
      pages        = {3690},
      year         = {2020},
      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},
      cin          = {IBG-3},
      ddc          = {620},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {255 - Terrestrial Systems: From Observation to Prediction
                      (POF3-255)},
      pid          = {G:(DE-HGF)POF3-255},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000594601500001},
      doi          = {10.3390/rs12223690},
      url          = {https://juser.fz-juelich.de/record/887773},
}