A5064161280- Remote Sensing in Agriculture
- Land Use and Ecosystem Services
- Remote-Sensing Image Classification
- Remote Sensing and LiDAR Applications
- Remote Sensing and Land Use
- Urban Heat Island Mitigation
- Soil and Land Suitability Analysis
- Agricultural and Rural Development Research
- Flood Risk Assessment and Management
- Groundwater and Watershed Analysis
- Hydrology and Drought Analysis
- Air Quality Monitoring and Forecasting
- Urban Green Space and Health
- Atmospheric chemistry and aerosols
- Fire effects on ecosystems
- Plant Ecology and Soil Science
- 3D Surveying and Cultural Heritage
- Socioeconomic Development in MENA
- Water resources management and optimization
- Integrated Energy Systems Optimization
- COVID-19 impact on air quality
- Impact of Light on Environment and Health
- Climate change and permafrost
- Virology and Viral Diseases
- Organizational and Employee Performance
Istanbul Technical University
2016-2025
Teknoloji Arastirma ve Gelistirme Endustriyel Urunler Bilisim Teknolojileri San Tic
2016
ISRIC - World Soil Information
2009
Nowadays, machine learning (ML) algorithms have been widely chosen for classifying satellite images mapping Earth's surface. Support Vector Machine (SVM) and Random Forest (RF) stand out among these with their accurate results in the literature. The aim of this study is to analyze performances on land use cover (LULC) classification, especially wetlands which significant ecological functions. For purpose, Sentinel-2 image, freely provided by European Space Agency (ESA), was used monitor not...
This study validated MODIS (Moderate Resolution Imaging Spectroradiometer) of the National Aeronautics and Space Agency, USA, Aqua Terra Collection 6.1, MERRA-2 (Modern-ERA Retrospective Analysis for Research Application) Version 2 aerosol optical depth (AOD) at 550 nm against AERONET (Aerosol Robotic Network) ground-based sunphotometer observations over Turkey. AOD data were collected from three sites during period between 2013 2017. Regression analysis showed that overall, seasonally daily...
Burned area (BA) mapping of a forest after fire is required for its management and the determination impacts on ecosystems. Different remote sensing sensors their combinations have been used due to individual limitations accurate BA mapping. This study analyzes contribution different features derived from optical, thermal, Synthetic Aperture Radar (SAR) images extract information Turkish red pine (Pinus brutia Ten.) in Mediterranean ecosystem. In addition reflectance values optical images,...
This study aims to extract water surface area and lake temperature (LSWT), present long-term spatio-temporal analysis of these variables together with meteorological parameters. Three lakes in Türkiye’s Lakes Region, namely, Lake Burdur, Egirdir, Beysehir, were considered as test sites. The normalized difference index (NDWI) was applied Landsat 5 8 data from 2000 2021 the extent Google Earth Engine (GEE) cloud-based platform. In addition area, thermal images used examine LSWT. findings...
With the latest development and increasing availability of high spatial resolution sensors, earth observation technology offers a viable solution for crop identification management. There is strong need to produce accurate, reliable up date type maps sustainable agriculture monitoring In this study, RapidEye, first high-resolution multi-spectral satellite system that operationally provides Red-edge channel, was used test potential data mapping. This study investigated at selected region...
Accurate and reliable greenhouse mapping using remotely sensed data image classification methods has a significant role since it can comprehensively improve the urban rural planning, sustainable natural resource agricultural management. This research is mainly focused on determination of greenhouses from SPOT-7 Sentinel-2 MultiSpectral Instrument (MSI) images by an object-based method with three different classifiers which are k-nearest neighbor (KNN), random forest (RF), support vector...
Efficient methodologies to map greenhouses are very important for the implementation of sustainable agricultural practices, natural resource management, and urban rural development. Remote sensing imagery provides a great potential with different spatial spectral resolutions greenhouse monitoring mapping. The conventional techniques mapping time consuming, expensive. Because this reason, many image processing methods such as classification including pixel-based or object based remote indices...
Abstract. Drought is a natural disaster that can have devastating economic, environmental, and social impacts on global, national, regional scale. Remote sensing technology the most powerful tool to determine of drought categories analyse severity, vulnerability its trends. Because data temporal, quick, wide-area, repeating be obtained via remote technologies. The calculation indices with use crucial for assessing severity evolution over time. In this study, Central Anatolian Basin, one...
Investigation of cities’ spatiotemporal dynamics, including vegetation and urban areas, is utmost importance for understanding ecological balance, planning, sustainable development. This study investigated the dynamic interactions between vegetation, settlement patterns, surface heat islands (SUHIs) in Istanbul using hotspot analysis. Utilizing Landsat satellite imagery, we applied Getis-Ord Gi* statistic to analyze Land Surface Temperature (LST), Urban Index (UI), Normalized Difference...
Abstract. Accurate and reliable land use/land cover (LULC) information obtained by remote sensing technology is necessary in many applications such as environmental monitoring, agricultural management, urban planning, hydrological applications, soil vegetation condition study suitability analysis. But this still remains a challenge especially heterogeneous landscapes covering rural areas due to spectrally similar LULC features. In parallel with technological developments, supplementary data...
Türkiye’de yetiştirilen sert kabuklu meyvelerin başında gelen fındık, özellikle Doğu Karadeniz bölgesi için ekonomik olarak büyük önem taşımaktadır. Bu çalışmada, 22 Ekim, 2020 tarihli Sentinel-2 MSI uydu görüntüsü bantları ve hesaplanan indeksler ile oluşturulan farklı veri setleri kullanılarak fındık ekili tarım alanları belirlenmiştir. Çalışmaya dâhil edilen bitki indekslerinin hesaplanması 5 seti üretilmiştir. Giresun ili Piraziz ilçesi çalışma seçilmiştir. Sınıflandırma işlemi rastgele...
Son yıllarda artan orman yangınları bitki örtüsüne ve birçok canlıya ciddi zararlar vermektedir. Uzaktan algılama teknolojisi bazı algoritmalar yangını sonrası arazinin durumunu incelemek çeşitli analizler yapmak için kullanılmaktadır. Farklı özelliklere sahip uydu görüntüleri (Sentinel, Landsat, MODIS, SPOT, vb.), yangın hasarlarını belirlemek yanmış alanların haritalarını üretmek Bu çalışmada, 6 Temmuz 2020 tarihinde Çanakkale ili Gelibolu ilçesinde meydana gelen yangını, Sentinel-2 MSI...
Abstract. Land use/ land cover (LULC) classification is a key research field in remote sensing. With recent developments of high-spatial-resolution sensors, Earth-observation technology offers viable solution for use/land identification and management the rural part cities. There strong need to produce accurate, reliable, up-to-date maps sustainable monitoring management. In this study, SPOT 7 imagery was used test potential data cover/land use mapping. Catalca selected region located north...
Abstract. Remotely sensed data have huge importance to determine land use/cover changes for sustainable region planning and management. Variety of techniques in order detect cover dynamics using remote sensing imagery been developed, tested assessed with the results varying according change scenario, information required applied. In this study, modified Change Vector Analysis (mCVA) technique was implemented on SPOT 4 5 multispectral (MS) monitor use/land (LULC) Terkos Water Basin, İstanbul....
Due to unplanned and uncontrolled expansion of urban areas, rural land cover types have been replaced with artificial materials. As a result these replacements, wide range negative environmental impacts seriously impacting human health, natural ecosystems, climate, energy efficiency, quality living in town center. In this study, the impact surface temperature respect use categories is investigated evaluated for Istanbul, Turkey. Land data was extracted from 21 October 2014 dated Landsat 8...