APPLICATIONS OF GEOGRAPHIC INFORMATION SYSTEMS AND REMOTE SENSING IN WATERSHED MANAGEMENT
XII. INTERNATIONAL ECOLOGY SYMPOSIUM, Gaziantep, Türkiye, 13 - 16 Mayıs 2026, cilt.1, sa.1, ss.194-214, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Cilt numarası: 1
- Basıldığı Şehir: Gaziantep
- Basıldığı Ülke: Türkiye
- Sayfa Sayıları: ss.194-214
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Karadeniz Teknik Üniversitesi Adresli: Evet
Özet
Watershed management is an interdisciplinary process aimed at the sustainable and
integrated planning of water, soil, and ecosystem components. Today, factors such as
population growth, climate change, and uncontrolled land-use changes impose increasing
pressures on watershed systems, thereby necessitating science-based management
approaches. In this context, Geographic Information Systems (GIS) and remote sensing
technologies have emerged as critical tools in watershed management by enabling the
efficient analysis of spatial and temporal data.
In this study, the contributions of GIS and remote sensing applications in watershed
management were evaluated based on the existing literature. GIS provides high accuracy
and flexibility in processes such as watershed delineation, topographic analysis,
monitoring of land use/land cover changes, and hydrological risk assessments (e.g.,
floods and erosion). Remote sensing techniques, on the other hand, facilitate the
identification of land cover dynamics, the calculation of vegetation indices, and the
monitoring of temporal variations in water resources through satellite and aerial imagery.
The integration of these two technologies significantly contributes to the development of
data-driven decision support systems at the watershed scale. In conclusion, the combined
use of GIS and remote sensing technologies enhances the effectiveness of watershed
planning and management processes while strengthening the scientific basis for
sustainable natural resource management. The wider adoption of these technologies,
particularly in academic research and applied studies, will improve the accuracy and
reliability of decision-making processes.