Turkey - EOPOWER
Transcription
Turkey - EOPOWER
1 SUCCESS STORY LAND USE/LAND COVER CHANGE DETECTıON ıN ıGNEADA Because of their ecological, biological, environmental and economic importance, flooded (longos) forests have multiple roles in the landscape. This research took place in a floodplain forest in north-west Turkey, in the well-known Igneada Region, one of the important areas of botanical areas in Turkey (Fig.1). İğneada and the surrounding area has been recognized as an important biodiversity hotspot due to their unique characteristics. Because of the sensitive ecosystems present in the Igneada region, part of it was previously protected as a Nature Protection Park, Natural Site, and Wildlife Protection Area. The determination of land use/land cover changes is of key importance for efficient management of the selected region. This study was conducted within the EnviroGRIDS Project, which is an EU Funded 7th Framework Programme under Grant Agreement 226740 (“Building Capacity for a Black Sea Catchment Observation and Assessment System Supporting Sustainable Development”). Fig.1 Study Area, Igneada The most common land use/land cover categories at the selected site are: Water Surfaces, Forest, Flooded Forest, Wetlands, Sand Dunes, Settlements, Plantation area, Bare Lands and Agricultural Areas (Fig.2). KEYS TO SUCCESS • Vision Willingness to obtain results that are valuable for decision makers and end-users. • Innovation Earth observation methods used are more cost effective than, and complementary to, traditional field methods of land use/land cover monitoring and change detection. • REPLICATION POTENTIAL Use of freely available remote sensing data and local expertise that can be replicated. • SOCIETAL BENEFIT Willingness to improve land use/land cover change detection mapping in Turkey. Fig.2 Land Use Land Cover Categories of Igneada 2 SUCCESS STORY System of land use/land cover change detection, based on remote sensing Maximum likelihood supervised classification methods were conducted using freely available Landsat 5 TM datasets (Fig.3). Field studies were carried out to determine various land cover/land use categories using hand-hold GPS. The collected data allowed the mapping of land use/land cover categories for the years 1984, 1990, 2000 and 2010 based on detailed fieldwork (Fig. 4). The deliverables are: classification maps, assessment of classification accuracy, and change detection maps. Fig. 3 Methodology of the study RESULTS ! Land use/land cover changes between the years 1984 and 2010. ! Spatial and temporal analysis of landscape patterns using multi-temporal imagery enabled identification of landscape distribution in the selected region and monitoring of the dynamics for Igneada. ! Exploration of the potential of freely available satellite remote sensing data in producing landscape maps with a special focus on the Igneada flooded forest. CONTACT INFORMATION Prof. Seval Sözen Istanbul Technical University Department of Geomatics Engineering 34469 Istanbul Turkey tel.: +90 212 285 34 14 http://www.geomatik.itu.edu.tr Fig. 4 Classification results for the years 1984, 1990, 2000 and 2010