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  • 1
    Book
    Book
    Einsatz von multispektralen Satellitenbilddaten in der Wasserhaushalts- und Stoffstrommodellierung - dargestellt am Beispiel des Rureinzugsgebietes (2008)
    Jülich : Forschungszentrum, Zentralbibliothek
    Details
    UID:
    b3kat_BV023838814
    Format: XX, 238 S. , Ill., graph. Darst., Kt. , 24 cm
    ISBN: 3893365087
    Series Statement: Schriften des Forschungszentrums Jülich : Reihe Energie & Umwelt 1
    Note: Zugl.: Bonn, Univ., Diss., 2007
    Language: German
    Keywords: Rur ; Einzugsgebiet ; Stickstoffhaushalt ; Datenanalyse ; Wasserhaushalt ; Fernerkundung ; Nitratbelastung ; Nordrhein-Westfalen ; Bodenwasser ; Sickerwasser ; Stickstoffbelastung ; Modellierung ; Hochschulschrift
    URL: Inhaltsverzeichnis
    Author information: Montzka, Carsten 1977-
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  • 2
    Online Resource
    Online Resource
    Linking Remote Sensing and Geodiversity and Their Traits Relevant to Biodiversity—Part I: Soil Characteristics (2019)
    Berlin : Humboldt-Universität zu Berlin
    Details
    UID:
    edochu_18452_23311
    Format: 1 Online-Ressource (51 Seiten)
    Content: In the face of rapid global change it is imperative to preserve geodiversity for the overallconservation of biodiversity. Geodiversity is important for understanding complex biogeochemicaland physical processes and is directly and indirectly linked to biodiversity on all scales of ecosystemorganization. Despite the great importance of geodiversity, there is a lack of suitable monitoringmethods. Compared to conventional in-situ techniques, remote sensing (RS) techniques providea pathway towards cost-effective, increasingly more available, comprehensive, and repeatable, aswell as standardized monitoring of continuous geodiversity on the local to global scale. This papergives an overview of the state-of-the-art approaches for monitoring soil characteristics and soilmoisture with unmanned aerial vehicles (UAV) and air- and spaceborne remote sensing techniques.Initially, the definitions for geodiversity along with its five essential characteristics are provided,with an explanation for the latter. Then, the approaches of spectral traits (ST) and spectral traitvariations (STV) to record geodiversity using RS are defined. LiDAR (light detection and ranging),thermal and microwave sensors, multispectral, and hyperspectral RS technologies to monitor soilcharacteristics and soil moisture are also presented. Furthermore, the paper discusses current andfuture satellite-borne sensors and missions as well as existing data products. Due to the prospectsand limitations of the characteristics of different RS sensors, only specific geotraits and geodiversitycharacteristics can be recorded. The paper provides an overview of those geotraits.
    Content: Peer Reviewed
    In: Basel : MDPI, 11,20
    Language: English
    DOI: 10.3390/rs11202356
    DOI: 10.18452/22703
    URN: urn:nbn:de:kobv:11-110-18452/23311-5
    URL: Volltext  (kostenfrei)
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    Fulltext
    HU Berlin
  • 3
    Online Resource
    Online Resource
    Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces (2020)
    Berlin : Humboldt-Universität zu Berlin
    Details
    UID:
    edochu_18452_25777
    Format: 1 Online-Ressource (61 Seiten)
    Content: 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.
    Content: Peer Reviewed
    In: Basel : MDPI, 12,22
    Language: English
    DOI: 10.3390/rs12223690
    DOI: 10.18452/25097
    URN: urn:nbn:de:kobv:11-110-18452/25777-8
    URL: Volltext  (kostenfrei)
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    Fulltext
    HU Berlin
  • 4
    Online Resource
    Online Resource
    Remote Sensing of Geomorphodiversity Linked to Biodiversity—Part III: Traits, Processes and Remote Sensing Characteristics (2022)
    Berlin : Humboldt-Universität zu Berlin
    Details
    UID:
    edochu_18452_27133
    Format: 1 Online-Ressource (48 Seiten)
    Content: 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.
    Content: Peer Reviewed
    In: Basel : MDPI, 14,9
    Language: English
    DOI: 10.3390/rs14092279
    DOI: 10.18452/26454
    URN: urn:nbn:de:kobv:11-110-18452/27133-9
    URL: Volltext  (kostenfrei)
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    HU Berlin
  • 5
    Article
    Article
    Brightness temperature and soil moisture validation at different scales during the SMOS validation campaign in the Rur and Erft catchments, Germany (2013)
    Show associated volumes
    Details
    UID:
    gbv_78242760X
    Format: 16
    ISSN: 0196-2892
    In: Institute of Electrical and Electronics Engineers, IEEE transactions on geoscience and remote sensing, New York, NY : IEEE, 1964, 51(2013), 3, Seite 1728-1743, 0196-2892
    In: volume:51
    In: year:2013
    In: number:3
    In: pages:1728-1743
    In: extent:16
    Language: English
    Author information: Löw, Alexander 1975-2017
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