Selsam, Peter und Lausch, Angela und Wellmann, Thilo und Gey, Ronny und Borg, Erik und Bumberger, Jan (2024) Esis/Imalys Software Package: A Tool for Quantifying Raster and Vector-Based Landscape Pattern and Traits Indicators from Remote Sensing Data. Elsevier. [sonstige Veröffentlichung]
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Offizielle URL: https://ssrn.com/abstract=4837564
Kurzfassung
Remote sensing has become an important tool and service for environmental research, especially for landscape analysis. Moreover, the spatial distribution and development of remotely sensed parameters can effectively complement and extend medical, biological, ecological and geographical tasks. However, data acquisition, data analysis and the selection of appropriate methods are still time-consuming. The ESIS (EcoSystem Integrity Service) project aims to establish environmental indicators on a well-defined and reproducible basis. The Imalys software library is designed to produce the indicators specified for ESIS as raster- and vector products from remote sensing data. These include various indicators of landscape diversity, boundaries, density of landscape elements and structures, and basic land cover types. All processes are sensor independent, scale invariant and applicable worldwide.
elib-URL des Eintrags: | https://elib.dlr.de/208172/ | ||||||||||||||||||||||||||||
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Dokumentart: | sonstige Veröffentlichung | ||||||||||||||||||||||||||||
Zusätzliche Informationen: | All content on this site: Copyright © 2023 Elsevier Inc., its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the Creative Commons licensing terms apply. | ||||||||||||||||||||||||||||
Titel: | Esis/Imalys Software Package: A Tool for Quantifying Raster and Vector-Based Landscape Pattern and Traits Indicators from Remote Sensing Data | ||||||||||||||||||||||||||||
Autoren: |
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Datum: | 22 Mai 2024 | ||||||||||||||||||||||||||||
Erschienen in: | SSRN, Elsevier | ||||||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||||||||||
DOI: | 10.2139/ssrn.4837564 | ||||||||||||||||||||||||||||
Seitenbereich: | Seiten 1-22 | ||||||||||||||||||||||||||||
Verlag: | Elsevier | ||||||||||||||||||||||||||||
Name der Reihe: | Elsevier SSRN | ||||||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||||||
Stichwörter: | Remote sensing, indicators, landscape patterns, image segmentation | ||||||||||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||||||||||||||
HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||||||||||
DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Geowissenschaftl. Fernerkundungs- und GIS-Verfahren | ||||||||||||||||||||||||||||
Standort: | Neustrelitz | ||||||||||||||||||||||||||||
Institute & Einrichtungen: | Deutsches Fernerkundungsdatenzentrum > Nationales Bodensegment | ||||||||||||||||||||||||||||
Hinterlegt von: | Borg, Prof.Dr. Erik | ||||||||||||||||||||||||||||
Hinterlegt am: | 30 Jan 2025 12:01 | ||||||||||||||||||||||||||||
Letzte Änderung: | 30 Jan 2025 12:01 |
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