The Added Utility of Hydrological Model and Satellite Based Datasets in Agricultural Drought Analysis over Turkey

2017-12-12
Bulut, Burak
Afshar, Mehdi
Yılmaz, Mustafa Tuğrul
Show full item record
64
views
0
downloads
Analysis of agricultural drought, which causes substantial socioeconomically costs in Turkey and in the world, is critical in terms of understanding this natural disaster’s characteristics (intensity, duration, influence area) and research on possible precautions. Soil moisture is one of the most important parameters which is used to observe agricultural drought, can be obtained using different methods. The most common, consistent and reliable soil moisture datasets used for large scale analysis are obtained from hydrologic models and remote sensing retrievals. On the other hand, Normalized difference vegetation index (NDVI) and gauge based precipitation observations are also commonly used for drought analysis. In this study, soil moisture products obtained from different platforms, NDVI and precipitation datasets over several different agricultural regions under various climate conditions in Turkey are obtained in growth season period. These datasets are later used to investigate agricultural drought by the help of annual crop yield data of selected agricultural lands. The type of vegetation over these regions are obtained using CORINE Land Cover (CLC 2012) data. The crop yield data were taken from the record of related district’s statistics which is provided by Turkish Statistical Institute (TÜİK).
https://agu.confex.com/agu/fm17/meetingapp.cgi/Paper/276242
https://hdl.handle.net/11511/80291
https://ui.adsabs.harvard.edu/abs/2017AGUFM.H13I1522B/abstract
Department of Civil Engineering, Conference / Seminar

Suggestions

The Impact of climate change on agricultural production in Mediterranean countries
Atay, Mehmet Ufuk; Sarı, Ramazan; Yücel, İsmail; Department of Earth System Science (2015)
The aim of the study is to determine the impact of climate change on agriculture for Mediterranean countries by employing vulnerability and econometric analysis. At first step, a composite agricultural vulnerability index is created by principal component analysis (PCA) for Mediterranean counties and world’s top 35 cereal producer countries. Then, based on index scores, countries are grouped by cluster analysis. Several indicators are selected from different international databases according to three compon...
ANALYZING THE RELATIONSHIP BETWEEN DISASTER RISK MITIGATION AND URBAN PLANNING PROCESSES: THE CASE STUDY OF ESKISEHIR CITY
Sert Özkiremitçi, Merve; Balaban, Osman; Department of City and Regional Planning (2022-5-11)
The aim of this study is to discuss the effectiveness and efficiency of urban planning in reducing the risk of natural disasters in cities and to analyse the relationship between planning and disaster mitigation processes. The study focuses particularly on the analysis of Eskişehir case with reference to data and information on disaster risk analysis, existing urban development plans as well as the plan implementation processes. After the 1999 Gölcük and Düzce Earthquakes, Eskişehir has also faced and to a ...
The assessment of socio-economic impacts of climate change in rural areas: the case of Konya
Özgür, Busen; Balaban, Osman; Department of City and Regional Planning (2019)
Climate change and its related events have made significant impacts on rural areas in socio-economic as well as environmental terms. Even though agriculture sector is a cause of climate change, agricultural production itself has also been adversely affected by the climate problem. Climate change also affects rural development and conservation policies in terms of the problem it causes such as natural disasters, migration, poverty, diseases, and food security. Moreover, the rural and agricultural impacts of ...
The Evaluation of Remotely-Sensed and Model-Based Soil Moisture Products According to Different Soil Type, Vegetation Cover and Climate Regime Using Station-Based Observations over Turkey
Bulut, Burak; Hesamı Afshar, Mehdı; Yılmaz, Mustafa Tuğrul (2019-04-07)
The soil moisture variable has critical importance in many areas such as climate, drought, water and energy cycle, weather forecasts and flood studies. Soil moisture data can be obtained using different methods such as remote sensing-, model- and station-based. Since station-based observations have representativeness errors in large scale, they have a great potential to provide the most accurate soil moisture information among all methods. In this study, different soil moisture products including AMSR-E...
The role of renewable energy in achieving Turkey's INDC
Arı, İzzet; Yikmaz, Riza Fikret (Elsevier BV, 2019-05-01)
The aim of this study is to analyse impacts of renewable energy sources in achieving Intended Nationally Determined Contribution (INDC) targets of Turkey. INDCs as a part the Paris Agreement are based on national circumstances of countries on climate change. In order to reach the global goal of the Paris Agreement, countries shall monitor, update and upgrade their INDCs. The overall target of Turkish INDC is to reduce its greenhouse gas (GHG) emissions up to 21 per cent from the Business as Usual (BaU) leve...
Citation Formats
B. Bulut, M. Afshar, and M. T. Yılmaz, “The Added Utility of Hydrological Model and Satellite Based Datasets in Agricultural Drought Analysis over Turkey,” 2017, Accessed: 00, 2021. [Online]. Available: https://agu.confex.com/agu/fm17/meetingapp.cgi/Paper/276242.
METU IIS - Integrated Information Service open@metu.edu.tr