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Woody vegetation cover in Namibian savannahs : A modelling approach based on remote sensing

Title data

Wagenseil, Hendrik ; Samimi, Cyrus:
Woody vegetation cover in Namibian savannahs : A modelling approach based on remote sensing.
In: Erdkunde. Vol. 61 (2007) Issue 4 . - pp. 325-334.
ISSN 0014-0015
DOI: https://doi.org/10.3112/erdkunde.2007.04.03

Project information

Project financing: Deutsche Forschungsgemeinschaft

Abstract in another language

Savannahs are characterized by a co-existence of grasses and trees. Nowadays, these ecosystems are considerably affected by human impact, as they are used for various types of agriculture and support a major part of the population within the tropics. E.g., it is widely accepted that in many regions of Southern Africa, livestock farming with inadequate stocking rates has facilitated bush encroachment and strongly alters vegetation structure and composition in these environments. Similar observations are reported from national parks, especially if fences confine the natural mobility of animals. In this study, an approach is developed to model woody vegetation coverage from coarse resolution multitemporal NDVI data by making use of the different phenological characteristics of grasses and trees. A second order polynomial is used to describe NDVI curvature and to quantify phenological metrics. For model calibration and result validation, a reference map is initially generated based on extensive field work and medium resolution Landsat ETM data. The results suggest a close relationship between woody cover and dry season curvature and minimum, which are considered to be suitable phenological metrics for a modelling approach. Thus, spatial differences in woody vegetation cover were successfully measured on a regional scale by means of multitemporal NDVI data. The results clearly highlight the potentials of phenological parameters for mapping woody cover.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Landsat ETM; SPOT VGT; Namibia; Wood cover; PLS regression
Institutions of the University: Faculties > Faculty of Biology, Chemistry and Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Professorship Climatology
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Professorship Climatology > Professorship Climatology - Univ.-Prof. Dr. Cyrus Samimi
Profile Fields > Advanced Fields > African Studies
Profile Fields > Advanced Fields > Ecology and the Environmental Sciences
Research Institutions > Research Centres > Bayreuth Center of Ecology and Environmental Research- BayCEER
Research Institutions > Research Centres > Institute of African Studies - IAS
Faculties
Profile Fields
Profile Fields > Advanced Fields
Research Institutions
Research Institutions > Research Centres
Result of work at the UBT: No
DDC Subjects: 500 Science > 500 Natural sciences
500 Science > 550 Earth sciences, geology
900 History and geography > 910 Geography, travel
Date Deposited: 02 Jun 2017 08:08
Last Modified: 02 Jun 2017 08:08
URI: https://eref.uni-bayreuth.de/id/eprint/37410