Workshop Report at the Department of Remote Sensing – January 11, 2019

Workshop Report at the Department of Remote Sensing – January 11, 2019

m

January 2, 2019

We are glad to announcing the 01st workshop report in the new year at the Department of Remote Sensing for Friday, 11th January 2019.

The presentation will be about

DETECTING SPATIO-TEMPORAL PATTERNS OF LAND ABANDONMENT IN THE LOWER REGION OF AMU DARYA RIVER USING EARTH OBSERVATION DATA

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 recognized 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 1998 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 minimize 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.

Title of presentation: Detecting spatio-temporal patterns of land abandonment in the lower region of Amu Darya River using earth observation data

Presenter: Christian Bauer

Date: Friday, 11th January 2019 Time: 11 – 12:30 am s.t. Place: Josef-Martin-Weg 52 (1), Campus Hubland Nord, Würzburg

Presentation language: English Slides: English


All interested persons are cordially invited! We are looking forward to seeing you.

you may also like:

EORC at the GfÖ Annual Symposium 2025 in Würzburg

EORC at the GfÖ Annual Symposium 2025 in Würzburg

Last week, EORC staff co-organized and partizipated in the Ecological Society of Germany, Austria and Switzerland (GfÖ) Annual Symposium 2025, this year hosted at University of Würzburg. The symposium, attended by more than 600 people, covered a wide range of topics...

New study on the conservation of biodiversity in West Africa

New study on the conservation of biodiversity in West Africa

A new study by our team, led by Insa Otte, on the conflict between biodiversity conservation in protected areas and agricultural development in West Africa has been published in the journal Natur und Landschaft. The abstract: According to the Human Development Report...

New study on invasive species in Rwanda

New study on invasive species in Rwanda

A new publication by EORC members Lilly Schell, Insa Otte, Sarah Schönbrodt-Stitt and Konstantin Müller, was just published   in the Journal Frontiers in Plant Science. Their study, “Synergistic use of satellite, legacy, and in situ data to predict spatio-temporal...

Poster Presentations at the GfÖ-Conference in Würzburg

Poster Presentations at the GfÖ-Conference in Würzburg

Being part of the organizers of this year's GfÖ-Conference in Würzburg our staff members Sonja Maas, Jakob Schwalb-Willmann and Maninder Singh Dhillon were happy to present the posters on their research topics today. The annual meeting of the GfÖ (Society for Ecology)...

Bridging Scales: How Radar Satellites supports Crop Monitoring

Bridging Scales: How Radar Satellites supports Crop Monitoring

In an era of climate uncertainty and increasing pressure on agricultural systems, understanding how crops grow and respond to environmental stress is more important than ever. A new study led by researchers from Martin-Luther-University Halle-Wittenberg, in close...