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/ | ||||||||||||||||||||||||||||
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| 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: |
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| 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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