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

A multi-scale remote sensing approach to understanding vegetation dynamics in the Nama Karoo-Grassland ecotone of South Africa

Ndyamboti, Khule and de Toit, J. and Baade, Jussi and Kaiser, Andreas and Urban, Marcel and Schmullius, Christiane and Thiel, Christian and Berger, Christian (2020) A multi-scale remote sensing approach to understanding vegetation dynamics in the Nama Karoo-Grassland ecotone of South Africa. Proceedings of International Geoscience and Remote Sensing Symposium IGARSS. IEEE.

Full text not available from this repository.

Abstract

In this paper, we propose a methodology for upscaling fractional vegetation cover (FVC) estimates derived from unmanned aerial vehicles (UAVs) to a larger area using freely available Sentinel-1/2 and Landsat-8 satellite data in the semi-arid Nama-Karoo biome of South Africa. To the best of our knowledge, such an approach is still lacking yet critical for understanding human-environment interactions, degradation, and the impacts of climate change in this vulnerable dryland ecosystem. The proposed approach utilizes ultra-high spatial resolution UAV imagery (i.e. < 5 cm) to develop a high quality FVC product. The resulting product is then used to upscale and validate satellite-based estimates of FVC. The rationale for upscaling UAV estimates to the satellite-scale is not only to cover larger areas but also to exploit historical satellite times series data, in an attempt to understand past trends and vegetation dynamics in the Nama Karoo-Grassland ecotone. The proposed method is expected to produce the first-ever high-resolution continuous maps of FVC and its changes in the above-mentioned ecosystem. Such information is of vital importance as it could help decision makers to gain a better understanding of the extent at which mechanisms such as bush encroachment, grassland expansion, or degradation are occurring in dryland ecosystems.

Item URL in elib:https://elib.dlr.de/139898/
Document Type:Editorship of Proceedings
Title:A multi-scale remote sensing approach to understanding vegetation dynamics in the Nama Karoo-Grassland ecotone of South Africa
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Ndyamboti, KhuleFriedrich-Schiller-Universität JenaUNSPECIFIED
de Toit, J.Grootfontein Agriculture Development Institute, MiddelburgUNSPECIFIED
Baade, JussiFriedrich-Schiller-Universität JenaUNSPECIFIED
Kaiser, AndreasFriedrich-Schiller-Universität JenaUNSPECIFIED
Urban, MarcelFriedrich-Schiller-Universität JenaUNSPECIFIED
Schmullius, ChristianeFriedrich-Schiller-Universität JenaUNSPECIFIED
Thiel, ChristianChristian.Thiel (at) dlr.dehttps://orcid.org/0000-0001-5144-8145
Berger, ChristianUniversität JenaUNSPECIFIED
Date:26 September 2020
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Publisher:IEEE
Series Name:Proceedings of International Geoscience and Remote Sensing Symposium IGARSS
Status:Published
Keywords:Upscaling, fractional cover, vegetation dynamics, monitoring, Karoo, UAV, TLS, Sentinel, Landsat
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:other
DLR - Research area:Raumfahrt
DLR - Program:R - no assignment
DLR - Research theme (Project):R - no assignment
Location: Jena
Institutes and Institutions:Institute of Data Science > Citizen Science
Deposited By: Thiel, Christian
Deposited On:04 Jan 2021 12:28
Last Modified:04 Jan 2021 12:28

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.