Bauer, Christian and Thiel, Michael and Löw, Fabian and Klein, Doris and Conrad, Christopher (2017) Spatio-Temporal Patterns of Land Abandonment in the Lower Region of Amu Darya River. Tropentag 2017, 19.-22.10.2017, Bonn, Germany.
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Abstract
Since the collapse of the Soviet Union, farmlands in Uzbekistan have been widely abandoned. However, the dependency on agriculture is still high for cash crops, particularly in context of food security and a rapidly growing population. Despite vast research in land degradation, the processes and drivers for abandonment remain hardly understood. Until now, no or little attention was paid to site-specific developments such as abandonment of arable land in irrigation agriculture and abandonment of land that was reclaimed in arid and semi-arid regions. Analysis of time series from Landsat earth observation data are recognised as highly suitable to establish retrospective and current land use changes. We combined multi-annual Landsat data and Random Forest machine learning to classify arable land and to discriminate between used and unused fields for the observation period between 2000 and 2016. The fields classified as 'unused' were then subdivided according to their intensity of intra-annual NDVI signal that was used as further proxy to get information on the time at which the field became abandoned. A pixel-based classification was preferred instead an object-based classification to minimise prediction errors on field level. Furthermore, intensity information was used for validating retrospective data for years without field survey information. Overall, the classification of unused land was challenged by the complexity of the crop rotations, long fallow cycles, and the data scarcity. The derived information is concluded to support regional land use planners and decision makers to improve land management and to designate regions for alternative usages such as pastoralism.
Item URL in elib: | https://elib.dlr.de/116776/ | ||||||||||||||||||
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Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||||
Title: | Spatio-Temporal Patterns of Land Abandonment in the Lower Region of Amu Darya River | ||||||||||||||||||
Authors: |
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Date: | 2017 | ||||||||||||||||||
Refereed publication: | No | ||||||||||||||||||
Open Access: | No | ||||||||||||||||||
Gold Open Access: | No | ||||||||||||||||||
In SCOPUS: | No | ||||||||||||||||||
In ISI Web of Science: | No | ||||||||||||||||||
Status: | Published | ||||||||||||||||||
Keywords: | Abandoned farmland, land degradation, land-use change, machine learning | ||||||||||||||||||
Event Title: | Tropentag 2017 | ||||||||||||||||||
Event Location: | Bonn, Germany | ||||||||||||||||||
Event Type: | national Conference | ||||||||||||||||||
Event Dates: | 19.-22.10.2017 | ||||||||||||||||||
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: | Oberpfaffenhofen | ||||||||||||||||||
Institutes and Institutions: | German Remote Sensing Data Center German Remote Sensing Data Center > Leitungsbereich DFD | ||||||||||||||||||
Deposited By: | Wöhrl, Monika | ||||||||||||||||||
Deposited On: | 11 Dec 2017 09:22 | ||||||||||||||||||
Last Modified: | 11 Dec 2017 09:22 |
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