Remote sensing of geomorphodiversity linked to biodiversity—Part III: traits, processes and remote sensing characteristics

Angela Lausch; Michael E. Schaepman; Andrew K. Skidmore; Eusebiu Catana; Lutz Bannehr; Olaf Bastian; Erik Borg; Jan Bumberger; Peter Dietrich; Cornelia Glässer; Jorg M. Hacker; Rene Höfer; Thomas Jagdhuber; Sven Jany; András Jung; Arnon Karnieli; Reinhard Klenke; Toralf Kirsten; Uta Ködel; Wolfgang Kresse; Ulf Mallast; Carsten Montzka; Markus Möller; Hannes Mollenhauer; Marion Pause; Minhaz Rahman; Franziska Schrodt; Christiane Schmullius; Claudia Schütze; Peter Selsam; Ralf Uwe Syrbe; Sina Truckenbrodt; Michael Vohland; Martin Volk; Thilo Wellmann; Steffen Zacharias; Roland Baatz

doi:10.3390/rs14092279

Remote sensing of geomorphodiversity linked to biodiversity—Part III: traits, processes and remote sensing characteristics

Angela Lausch^*, Michael E. Schaepman, Andrew K. Skidmore, Eusebiu Catana, Lutz Bannehr, Olaf Bastian, Erik Borg, Jan Bumberger, Peter Dietrich, Cornelia Glässer, Jorg M. Hacker, Rene Höfer, Thomas Jagdhuber, Sven Jany, András Jung, Arnon Karnieli, Reinhard Klenke, Toralf Kirsten, Uta Ködel, Wolfgang KresseUlf Mallast, Carsten Montzka, Markus Möller, Hannes Mollenhauer, Marion Pause, Minhaz Rahman, Franziska Schrodt, Christiane Schmullius, Claudia Schütze, Peter Selsam, Ralf Uwe Syrbe, Sina Truckenbrodt, Michael Vohland, Martin Volk, Thilo Wellmann, Steffen Zacharias, Roland Baatz

^*Corresponding author for this work

Research output: Contribution to journal › Review article › peer-review

19 Citations (Scopus)

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Abstract

Remote sensing (RS) enables a cost-effective, extensive, continuous and standardized monitoring of traits and trait variations of geomorphology and its processes, from the local to the continental scale. To implement and better understand RS techniques and the spectral indicators derived from them in the monitoring of geomorphology, this paper presents a new perspective for the definition and recording of five characteristics of geomorphodiversity with RS, namely: geomorphic genesis diversity, geomorphic trait diversity, geomorphic structural diversity, geomorphic taxonomic diversity, and geomorphic functional diversity. In this respect, geomorphic trait diversity is the cornerstone and is essential for recording the other four characteristics using RS technologies. All five characteristics are discussed in detail in this paper and reinforced with numerous examples from various RS technologies. Methods for classifying the five characteristics of geomorphodiversity using RS, as well as the constraints of monitoring the diversity of geomorphology using RS, are discussed. RS-aided techniques that can be used for monitoring geomorphodiversity in regimes with changing land-use intensity are presented. Further, new approaches of geomorphic traits that enable the monitoring of geomorphodiversity through the valorisation of RS data from multiple missions are discussed as well as the ecosystem integrity approach. Likewise, the approach of monitoring the five characteristics of geomorphodiversity recording with RS is discussed, as are existing approaches for recording spectral geomorhic traits/ trait variation approach and indicators, along with approaches for assessing geomorphodiversity. It is shown that there is no comparable approach with which to define and record the five characteristics of geomorphodiversity using only RS data in the literature. Finally, the importance of the digitization process and the use of data science for research in the field of geomorphology in the 21st century is elucidated and discussed.

Original language	English
Article number	2279
Pages (from-to)	1-48
Number of pages	48
Journal	Remote Sensing
Volume	14
Issue number	9
Early online date	9 May 2022
DOIs	https://doi.org/10.3390/rs14092279
Publication status	Published - May 2022

Bibliographical note

Copyright the Author(s) 2022. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

data science
earth observation
ecosystem integrity
functions
genesis
geodivesity, biodiversity, traits
geomorphic traits
geomorphodiversity
geomorphology
land-use intensity
landforms
multi-mission
remote sensing
spectral traits
structure
taxonomy
terrain

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10.3390/rs14092279

Publisher version (open access)Final published version, 16 MBLicence: CC BY

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Lausch, A., Schaepman, M. E., Skidmore, A. K., Catana, E., Bannehr, L., Bastian, O., Borg, E., Bumberger, J., Dietrich, P., Glässer, C., Hacker, J. M., Höfer, R., Jagdhuber, T., Jany, S., Jung, A., Karnieli, A., Klenke, R., Kirsten, T., Ködel, U., ... Baatz, R. (2022). Remote sensing of geomorphodiversity linked to biodiversity—Part III: traits, processes and remote sensing characteristics. Remote Sensing, 14(9), 1-48. [2279]. https://doi.org/10.3390/rs14092279

@article{19395fe1267044c49f656acdf0629610,

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abstract = "Remote sensing (RS) enables a cost-effective, extensive, continuous and standardized monitoring of traits and trait variations of geomorphology and its processes, from the local to the continental scale. To implement and better understand RS techniques and the spectral indicators derived from them in the monitoring of geomorphology, this paper presents a new perspective for the definition and recording of five characteristics of geomorphodiversity with RS, namely: geomorphic genesis diversity, geomorphic trait diversity, geomorphic structural diversity, geomorphic taxonomic diversity, and geomorphic functional diversity. In this respect, geomorphic trait diversity is the cornerstone and is essential for recording the other four characteristics using RS technologies. All five characteristics are discussed in detail in this paper and reinforced with numerous examples from various RS technologies. Methods for classifying the five characteristics of geomorphodiversity using RS, as well as the constraints of monitoring the diversity of geomorphology using RS, are discussed. RS-aided techniques that can be used for monitoring geomorphodiversity in regimes with changing land-use intensity are presented. Further, new approaches of geomorphic traits that enable the monitoring of geomorphodiversity through the valorisation of RS data from multiple missions are discussed as well as the ecosystem integrity approach. Likewise, the approach of monitoring the five characteristics of geomorphodiversity recording with RS is discussed, as are existing approaches for recording spectral geomorhic traits/ trait variation approach and indicators, along with approaches for assessing geomorphodiversity. It is shown that there is no comparable approach with which to define and record the five characteristics of geomorphodiversity using only RS data in the literature. Finally, the importance of the digitization process and the use of data science for research in the field of geomorphology in the 21st century is elucidated and discussed.",

keywords = "data science, earth observation, ecosystem integrity, functions, genesis, geodivesity, biodiversity, traits, geomorphic traits, geomorphodiversity, geomorphology, land-use intensity, landforms, multi-mission, remote sensing, spectral traits, structure, taxonomy, terrain",

author = "Angela Lausch and Schaepman, {Michael E.} and Skidmore, {Andrew K.} and Eusebiu Catana and Lutz Bannehr and Olaf Bastian and Erik Borg and Jan Bumberger and Peter Dietrich and Cornelia Gl{\"a}sser and Hacker, {Jorg M.} and Rene H{\"o}fer and Thomas Jagdhuber and Sven Jany and Andr{\'a}s Jung and Arnon Karnieli and Reinhard Klenke and Toralf Kirsten and Uta K{\"o}del and Wolfgang Kresse and Ulf Mallast and Carsten Montzka and Markus M{\"o}ller and Hannes Mollenhauer and Marion Pause and Minhaz Rahman and Franziska Schrodt and Christiane Schmullius and Claudia Sch{\"u}tze and Peter Selsam and Syrbe, {Ralf Uwe} and Sina Truckenbrodt and Michael Vohland and Martin Volk and Thilo Wellmann and Steffen Zacharias and Roland Baatz",

note = "Copyright the Author(s) 2022. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher. ",

year = "2022",

month = may,

doi = "10.3390/rs14092279",

language = "English",

volume = "14",

pages = "1--48",

journal = "Remote Sensing",

issn = "2072-4292",

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Lausch, A, Schaepman, ME, Skidmore, AK, Catana, E, Bannehr, L, Bastian, O, Borg, E, Bumberger, J, Dietrich, P, Glässer, C, Hacker, JM, Höfer, R, Jagdhuber, T, Jany, S, Jung, A, Karnieli, A, Klenke, R, Kirsten, T, Ködel, U, Kresse, W, Mallast, U, Montzka, C, Möller, M, Mollenhauer, H, Pause, M, Rahman, M, Schrodt, F, Schmullius, C, Schütze, C, Selsam, P, Syrbe, RU, Truckenbrodt, S, Vohland, M, Volk, M, Wellmann, T, Zacharias, S & Baatz, R 2022, 'Remote sensing of geomorphodiversity linked to biodiversity—Part III: traits, processes and remote sensing characteristics', Remote Sensing, vol. 14, no. 9, 2279, pp. 1-48. https://doi.org/10.3390/rs14092279

TY - JOUR

T1 - Remote sensing of geomorphodiversity linked to biodiversity—Part III

T2 - traits, processes and remote sensing characteristics

AU - Lausch, Angela

AU - Schaepman, Michael E.

AU - Skidmore, Andrew K.

AU - Catana, Eusebiu

AU - Bannehr, Lutz

AU - Bastian, Olaf

AU - Borg, Erik

AU - Bumberger, Jan

AU - Dietrich, Peter

AU - Glässer, Cornelia

AU - Hacker, Jorg M.

AU - Höfer, Rene

AU - Jagdhuber, Thomas

AU - Jany, Sven

AU - Jung, András

AU - Karnieli, Arnon

AU - Klenke, Reinhard

AU - Kirsten, Toralf

AU - Ködel, Uta

AU - Kresse, Wolfgang

AU - Mallast, Ulf

AU - Montzka, Carsten

AU - Möller, Markus

AU - Mollenhauer, Hannes

AU - Pause, Marion

AU - Rahman, Minhaz

AU - Schrodt, Franziska

AU - Schmullius, Christiane

AU - Schütze, Claudia

AU - Selsam, Peter

AU - Syrbe, Ralf Uwe

AU - Truckenbrodt, Sina

AU - Vohland, Michael

AU - Volk, Martin

AU - Wellmann, Thilo

AU - Zacharias, Steffen

AU - Baatz, Roland

N1 - Copyright the Author(s) 2022. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

PY - 2022/5

Y1 - 2022/5

N2 - Remote sensing (RS) enables a cost-effective, extensive, continuous and standardized monitoring of traits and trait variations of geomorphology and its processes, from the local to the continental scale. To implement and better understand RS techniques and the spectral indicators derived from them in the monitoring of geomorphology, this paper presents a new perspective for the definition and recording of five characteristics of geomorphodiversity with RS, namely: geomorphic genesis diversity, geomorphic trait diversity, geomorphic structural diversity, geomorphic taxonomic diversity, and geomorphic functional diversity. In this respect, geomorphic trait diversity is the cornerstone and is essential for recording the other four characteristics using RS technologies. All five characteristics are discussed in detail in this paper and reinforced with numerous examples from various RS technologies. Methods for classifying the five characteristics of geomorphodiversity using RS, as well as the constraints of monitoring the diversity of geomorphology using RS, are discussed. RS-aided techniques that can be used for monitoring geomorphodiversity in regimes with changing land-use intensity are presented. Further, new approaches of geomorphic traits that enable the monitoring of geomorphodiversity through the valorisation of RS data from multiple missions are discussed as well as the ecosystem integrity approach. Likewise, the approach of monitoring the five characteristics of geomorphodiversity recording with RS is discussed, as are existing approaches for recording spectral geomorhic traits/ trait variation approach and indicators, along with approaches for assessing geomorphodiversity. It is shown that there is no comparable approach with which to define and record the five characteristics of geomorphodiversity using only RS data in the literature. Finally, the importance of the digitization process and the use of data science for research in the field of geomorphology in the 21st century is elucidated and discussed.

AB - Remote sensing (RS) enables a cost-effective, extensive, continuous and standardized monitoring of traits and trait variations of geomorphology and its processes, from the local to the continental scale. To implement and better understand RS techniques and the spectral indicators derived from them in the monitoring of geomorphology, this paper presents a new perspective for the definition and recording of five characteristics of geomorphodiversity with RS, namely: geomorphic genesis diversity, geomorphic trait diversity, geomorphic structural diversity, geomorphic taxonomic diversity, and geomorphic functional diversity. In this respect, geomorphic trait diversity is the cornerstone and is essential for recording the other four characteristics using RS technologies. All five characteristics are discussed in detail in this paper and reinforced with numerous examples from various RS technologies. Methods for classifying the five characteristics of geomorphodiversity using RS, as well as the constraints of monitoring the diversity of geomorphology using RS, are discussed. RS-aided techniques that can be used for monitoring geomorphodiversity in regimes with changing land-use intensity are presented. Further, new approaches of geomorphic traits that enable the monitoring of geomorphodiversity through the valorisation of RS data from multiple missions are discussed as well as the ecosystem integrity approach. Likewise, the approach of monitoring the five characteristics of geomorphodiversity recording with RS is discussed, as are existing approaches for recording spectral geomorhic traits/ trait variation approach and indicators, along with approaches for assessing geomorphodiversity. It is shown that there is no comparable approach with which to define and record the five characteristics of geomorphodiversity using only RS data in the literature. Finally, the importance of the digitization process and the use of data science for research in the field of geomorphology in the 21st century is elucidated and discussed.

KW - data science

KW - earth observation

KW - ecosystem integrity

KW - functions

KW - genesis

KW - geodivesity, biodiversity, traits

KW - geomorphic traits

KW - geomorphodiversity

KW - geomorphology

KW - land-use intensity

KW - landforms

KW - multi-mission

KW - remote sensing

KW - spectral traits

KW - structure

KW - taxonomy

KW - terrain

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U2 - 10.3390/rs14092279

DO - 10.3390/rs14092279

M3 - Review article

AN - SCOPUS:85130251661

SN - 2072-4292

VL - 14

SP - 1

EP - 48

JO - Remote Sensing

JF - Remote Sensing

IS - 9

M1 - 2279

ER -

Remote sensing of geomorphodiversity linked to biodiversity—Part III: traits, processes and remote sensing characteristics

Abstract

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Keywords

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