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Deforestation in the Miombo woodlands : A pixel-based semi-automated change detection method

Title data

Koller, Ralf ; Samimi, Cyrus:
Deforestation in the Miombo woodlands : A pixel-based semi-automated change detection method.
In: International Journal of Remote Sensing. Vol. 32 (2011) Issue 22 . - pp. 7631-7649.
ISSN 0143-1161
DOI: https://doi.org/10.1080/01431161.2010.527390

Project information

Project financing: Deutsche Forschungsgemeinschaft

Abstract in another language

Most methods of change detection require a considerable amount of effort and expertise. The procedures of change detection are visual-, classification-, object- or vector-based. The target of this research was to develop an automated and generally unsupervised combination of methods to quantify deforestation on a per pixel basis. The study area was the Gutu district in Zimbabwe. In the first step, Landsat Thematic Mapper (TM) scenes were spectrally unmixed by the Spectral Mixture Analysis (SMA). The calculation of the necessary endmembers was performed by means of the N-FINDR algorithm. After the unmixing process, the data were analysed with change vector analysis (CVA) utilizing spherical statistics. Thereafter, a combination of constraints, including a Bayesian threshold and spherical angles, was applied to identify deforestation. The combination of these methods provided an accurate idea of the state of deforestation and enabled attribution to 'fire-induced' and 'non fire-induced' classes.

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: 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
Faculties > Faculty of Biology, Chemistry and Earth Sciences
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
Date Deposited: 02 Jun 2017 06:36
Last Modified: 02 Jun 2017 06:36
URI: https://eref.uni-bayreuth.de/id/eprint/37398