elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Analysing the Potential of Multispectral Sensors to Map Vegetation Parameters in Pre-Alpine and Alpine Grasslands

Schucknecht, Anne and Krämer, Alexander and Asam, Sarah and Kiese, Ralf (2018) Analysing the Potential of Multispectral Sensors to Map Vegetation Parameters in Pre-Alpine and Alpine Grasslands. EO4Alps Workshop, 27-29 Jun. 2018, Innsbruck, Österreich. DOI: 10.13140/RG.2.2.20248.08967

Full text not available from this repository.

Abstract

Pastures and natural grasslands are an important part of the pre-Alpine and Alpine landscape ranging from intensive grasslands in the lower regions to highly diverse seasonal mountain pastures and specialized natural ecosystems. Despite the economic value and the significant role of plants in grassland carbon (C) and nitrogen (N) cycling, spatially explicit information on grassland management and yields (biomass and quality) are rarely available. Within the SUSALPS project, we aim to use new Copernicus satellite data to derive spatially explicit information (maps) on grassland management and biomass production, including cutting frequencies and plant N contents. Satellite remote sensing will be complemented by unmanned aerial vehicle (UAV)-based data acquisition to better bridge the scale gap from field measurements to regional assessment, and to validate satellite-derived products on larger scales. In April 2018, we conducted a field campaign to investigate the potential to map biomass, leaf N content, and other vegetation parameters with two different UAV-based multispectral sensors (Parrot SEQUOIA; RedEdge-M by MicaSense). Data over ten different grassland sites in southern Bavaria was collected via UAV and field sampling (destructive and proximal sensing) and will be analyses for correlations between different multispectral bands/indices and vegetation parameters. This contribution will present the sampling design and first results of the field experiment.

Item URL in elib:https://elib.dlr.de/123058/
Document Type:Conference or Workshop Item (Speech)
Title:Analysing the Potential of Multispectral Sensors to Map Vegetation Parameters in Pre-Alpine and Alpine Grasslands
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Schucknecht, Anneanne.schucknecht (at) kit.eduUNSPECIFIED
Krämer, AlexanderUNSPECIFIEDUNSPECIFIED
Asam, Sarahsarah.asam (at) dlr.dehttps://orcid.org/0000-0002-7302-6813
Kiese, RalfKIT Institute for Meteorology and Climate Research, Atmospheric Environmental ResearchUNSPECIFIED
Date:June 2018
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.13140/RG.2.2.20248.08967
Status:Published
Keywords:grassland SUSALPS Vegetation parameters UAV
Event Title:EO4Alps Workshop
Event Location:Innsbruck, Österreich
Event Type:Workshop
Event Dates:27-29 Jun. 2018
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Remote sensing and geoscience
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Asam, Dr. Sarah
Deposited On:13 Nov 2018 11:06
Last Modified:13 Nov 2018 11:06

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.