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Esis/Imalys Software Package: A Tool for Quantifying Raster and Vector-Based Landscape Pattern and Traits Indicators from Remote Sensing Data

Selsam, Peter and Lausch, Angela and Wellmann, Thilo and Gey, Ronny and Borg, Erik and 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. [Other]

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Official URL: https://ssrn.com/abstract=4837564

Abstract

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.

Item URL in elib:https://elib.dlr.de/208172/
Document Type:Other
Additional Information: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.
Title:Esis/Imalys Software Package: A Tool for Quantifying Raster and Vector-Based Landscape Pattern and Traits Indicators from Remote Sensing Data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Selsam, PeterUFZ LeipzigUNSPECIFIEDUNSPECIFIED
Lausch, AngelaComputational Landscape Ecology, Helmholtz Centre for Environmental Research (UFZ), Leipzig, Germanyhttps://orcid.org/0000-0002-4490-7232UNSPECIFIED
Wellmann, ThiloHumboldt Universität zu Berlin: Berlin, DEhttps://orcid.org/0000-0002-6852-5095UNSPECIFIED
Gey, RonnyUFZ LeipzigUNSPECIFIEDUNSPECIFIED
Borg, ErikErik.Borg (at) dlr.dehttps://orcid.org/0000-0001-8288-8426176972761
Bumberger, JanUFZ Leipzig, Germanyhttps://orcid.org/0000-0003-3780-8663UNSPECIFIED
Date:22 May 2024
Journal or Publication Title:SSRN, Elsevier
Refereed publication:Yes
Open Access:Yes
DOI:10.2139/ssrn.4837564
Page Range:pp. 1-22
Publisher:Elsevier
Series Name:Elsevier SSRN
Status:Published
Keywords:Remote sensing, indicators, landscape patterns, image segmentation
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 - Geoscientific remote sensing and GIS methods
Location: Neustrelitz
Institutes and Institutions:German Remote Sensing Data Center > National Ground Segment
Deposited By: Borg, Prof.Dr. Erik
Deposited On:30 Jan 2025 12:01
Last Modified:30 Jan 2025 12:01

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