The Spaceborne Imaging Spectrometer Desis: Data Access, Outreach Activities, and Scientific Applications

Cerra, Daniele; Marshall, David; Heiden, Uta; Alonso, Kevin; Bachmann, Martin; Burch, Kara; Carmona, E.; Dietrich, Daniele; Lester, Heath; Knodt, Uwe; Krutz, David; Müller, Rupert; Reyes, R. de los; Reinartz, Peter; Tegler, Mirco

doi:10.1109/igarss46834.2022.9883119

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…Recent technological developments and satellite missions such as the DLR's Earth Sensing Imaging Spectrometer (DESIS, [ 12 ]), the Hyperspectral Environmental Mapping and Analysis Program (EnMap, [ 13 ] or the first spaceborne GEDI Ecosystem Lidar [ 14 ]) are largely available free of charge to provide a deeper understanding of processes and accurate estimates of traits in vegetation and soil properties as a result of ecological pattern and their interactions. NASA's future Surface Biology and Geology (SBG) missions ( ) with the Hyperspectral Infrared Imager (HyspIRI) will be particularly important for the RS-based monitoring of vegetation- and geodiversity [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

Monitoring vegetation- and geodiversity with remote sensing and traits

Lausch,

Selsam,

Pause

et al. 2024

Phil. Trans. R. Soc. A.

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Geodiversity has shaped and structured the Earth's surface at all spatio-temporal scales, not only through long-term processes but also through medium- and short-term processes. Geodiversity is, therefore, a key control and regulating variable in the overall development of landscapes and biodiversity. However, climate change and land use intensity are leading to major changes and disturbances in bio- and geodiversity. For sustainable ecosystem management, temporal, economically viable and standardized monitoring is needed to monitor and model the effects and changes in vegetation- and geodiversity. RS approaches have been used for this purpose for decades. However, to understand in detail how RS approaches capture vegetation- and geodiversity, the aim of this paper is to describe how five features of vegetation- and geodiversity are captured using RS technologies, namely: (i) trait diversity, (ii) phylogenetic/genese diversity, (iii) structural diversity, (iv) taxonomic diversity and (v) functional diversity. Trait diversity is essential for establishing the other four. Traits provide a crucial interface between in situ , close-range, aerial and space-based RS monitoring approaches. The trait approach allows complex data of different types and formats to be linked using the latest semantic data integration techniques, which will enable ecosystem integrity monitoring and modelling in the future. This article is part of the Theo Murphy meeting issue ‘Geodiversity for science and society’.

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Section: Introductionmentioning

confidence: 99%

Monitoring vegetation- and geodiversity with remote sensing and traits

Lausch,

Selsam,

Pause

et al. 2024

Phil. Trans. R. Soc. A.

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“…In recent decades, remote sensing (RS) has opened up new and increasingly better opportunities for continuous and objective ecosystem monitoring to detect the status of and changes in their interactions with phylogenetic/genese, structure, taxonomy and function in vegetation diversity [13,14]; geodiversity [3,15]; geomorphodiversity [4,16]; and landscape intensification and urbanisation [17][18][19] from local to global scale. Recent technological advances in spaceborne RS such as the Hyperspectral Environmental Mapping and Analysis Program (EnMap, [20]), the DLR Earth Sensing Imaging Spectrometer (DESIS, [21]) or the GEDI Ecosystem LiDAR [22]), as well as future planned missions such as NASA's Surface Biology and Geology (SBG) (https://sbg.jpl.nasa.gov/ (accessed on 1 January 2024), [23]), are largely available free of charge to enable deeper process understanding and accurate estimates of ecological variables.…”

Section: Introductionmentioning

confidence: 99%

Ecosystem Integrity Remote Sensing—Modelling and Service Tool—ESIS/Imalys

Selsam,

Bumberger,

Wellmann

et al. 2024

Remote Sensing

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One of the greatest challenges of our time is monitoring the rapid environmental changes taking place worldwide at both local and global scales. This requires easy-to-use and ready-to-implement tools and services to monitor and quantify aspects of bio- and geodiversity change and the impact of land use intensification using freely available and global remotely sensed data, and to derive remotely sensed indicators. Currently, there are no services for quantifying both raster- and vector-based indicators in a “compact tool”. Therefore, the main innovation of ESIS/Imalys is having a remote sensing (RS) tool that allows for RS data processing, data management, and continuous and discrete quantification and derivation of RS indicators in one tool. With the ESIS/Imalys project (Ecosystem Integrity Remote Sensing—Modelling and Service Tool), we try to present environmental indicators on a clearly defined and reproducible basis. The Imalys software library generates the RS indicators and remote sensing products defined for ESIS. This paper provides an overview of the functionality of the Imalys software library. An overview of the technical background of the implementation of the Imalys library, data formats and the user interfaces is given. Examples of RS-based indicators derived using the Imalys tool at pixel level and at zone level (vector level) are presented. Furthermore, the advantages and disadvantages of the Imalys tool are discussed in detail in order to better assess the value of Imalys for users and developers. The applicability of the indicators will be demonstrated through three ecological applications, namely: (1) monitoring landscape diversity, (2) monitoring landscape structure and landscape fragmentation, and (3) monitoring land use intensity and its impact on ecosystem functions. Despite the integration of large amounts of data, Imalys can run on any PC, as the processing and derivation of indicators has been greatly optimised. The Imalys source code is freely available and is hosted and maintained under an open source license. Complete documentation of all methods, functions and derived indicators can be found in the freely available Imalys manual. The user-friendliness of Imalys, despite the integration of a large amount of RS data, makes it another important tool for ecological research, modelling and application for the monitoring and derivation of ecosystem indicators from local to global scale.

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“…DESIS products are used in various appli- cations by a growing community of DESIS users, who held an initial user workshop in September 2021. For more details on the access to the DESIS data products and the applications using them see [4].…”

Section: Introductionmentioning

confidence: 99%

Vicarious Calibration of The Desis Imaging Spectrometer: Status and Plans

Carmona¹,

Alonso²,

Bachmann

et al. 2022

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium

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The DLR Earth Sensing Spectrometer (DESIS) on board the International Space Station (ISS) has been providing high quality hyperspectral data to the scientific community and commercial users since the start of operations in September 2018. After almost 4 years in orbit, the DESIS instrument continues to operate correctly and to deliver hyperspectral data products for a wide variety of applications. In order to support this successful activity, the calibration team regularly analyzes the instrument data and provides updates using vicarious calibration. We present here the latest results from the DESIS vicarious calibration and our plans for future improvements.

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The Spaceborne Imaging Spectrometer Desis: Data Access, Outreach Activities, and Scientific Applications

Cited by 4 publications

References 7 publications

Monitoring vegetation- and geodiversity with remote sensing and traits

Monitoring vegetation- and geodiversity with remote sensing and traits

Ecosystem Integrity Remote Sensing—Modelling and Service Tool—ESIS/Imalys

Vicarious Calibration of The Desis Imaging Spectrometer: Status and Plans

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