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

Selsam, Peter and Bumberger, Jan and Wellmann, Thilo and Pause, Marion and Gey, Ronny and Borg, Erik and Lausch, Angela (2024) Ecosystem Integrity Remote Sensing - Modelling and Service Tool - ESIS/Imalys. Remote Sensing, 16, pp. 1-25. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs16071139. ISSN 2072-4292.

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Abstract

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.

Item URL in elib:https://elib.dlr.de/205058/
Document Type:Article
Additional Information:Zusammenarbeit UFZ mit DLR im Thema ESIS/Imalys: Konsultationen
Title:Ecosystem Integrity Remote Sensing - Modelling and Service Tool - ESIS/Imalys
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Selsam, PeterUFZ LeipzigUNSPECIFIEDUNSPECIFIED
Bumberger, JanUFZ LeipzigUNSPECIFIEDUNSPECIFIED
Wellmann, ThiloUFZ LeipzigUNSPECIFIEDUNSPECIFIED
Pause, MarionUFZUNSPECIFIEDUNSPECIFIED
Gey, RonnyUFZ LeipzigUNSPECIFIEDUNSPECIFIED
Borg, ErikErik.Borg (at) dlr.dehttps://orcid.org/0000-0001-8288-8426165834007
Lausch, AngelaUFZ LeipzigUNSPECIFIEDUNSPECIFIED
Date:25 March 2024
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:16
DOI:10.3390/rs16071139
Page Range:pp. 1-25
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:Published
Keywords:ecosystem integrity; traits; spectral traits; remote sensing; earth observation; tool; service; indicators; classification; segmentation; time series; processing platform; big data; Imalys; ESIS
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research
Location: Neustrelitz
Institutes and Institutions:German Remote Sensing Data Center > National Ground Segment
Deposited By: Borg, Prof.Dr. Erik
Deposited On:20 Aug 2024 11:36
Last Modified:11 Nov 2024 14:10

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