Fusun Balik Sanli

Fusun Balik Sanli
Yildiz Technical University · Department of Geomatics Enginering

Professor

About

126
Publications
78,307
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1,015
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January 2008 - present
Yildiz Technical University

Publications

Publications (126)
Article
Full-text available
The purpose of this study is to determine deformations in landslide areas with two methods, Persistent Scatterer Interferometry (PSI) and GNSS (Global Navigation Satellite System). In the Koyulhisar landslide area, 53 GNSS points were established throughout the region. Velocity values for these points are three-dimensional. In addition, TerraSAR-X...
Article
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In areas where groundwater overexploitation occurs, land subsidence triggered by aquifer compaction is observed, resulting in high socio-economic impacts for the affected communities. In this paper, we focus on the Konya region, one of the leading economic centers in the agricultural and industrial sectors in Turkey. We present a multi-source data...
Article
This research aimed to explore the fusion of multispectral optical SPOT data with microwave L-band ALOS PALSAR and C-band RADARSAT-1 data for a detailed land use/cover mapping to find out the individual contributions of different wavelengths. Many fusion approaches have been implemented and analyzed for various applications using different remote s...
Article
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In today’s urbanizing world, home of 28 megacities, there is a growing need for tools to assess urban policies and support the design and implementation of effective development strategies. Unsustainable practices of urbanization bring major implications for land and environment, and cause a dramatic increase of urban vulnerability to natural hazar...
Article
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The classification accuracy of remotely sensed data and its sensitivity to classification algorithms have a critical importance for the geospatial community, as classified images provide the base layers for many applications and models. Support Vector Machines (SVMs), a non-parametric statistical learning method that has recently been used in numer...
Article
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Agriculture has always been in an important position throughout human history. Today, the development of technology has accelerated studies to increase productivity in agriculture. With the use of remote sensing in agriculture, different crop types in large regions could be observed and their differences from each other could be examined with a spe...
Article
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This paper, presents the initial results of digital elevation model (DEM) extraction from PAZ Synthetic Aperture Radar (SAR) satellite images using repeat-pass interferometric analysis. We used a multi-temporal high-resolution strip-map mode X-band satellite image that has a single polarization. Five main classes, i.e., volcanic structures, agricul...
Conference Paper
Full-text available
Hayatımızın temel ihtiyaç kaynaklarından birisi olan suyun, Dünyada ki küresel ısınma, yanlış sulama vb. uygulamalar yüzünden kaynakları hızla tükenmektedir. Bu sebeple su seviyesinin takibi oldukça önemlidir. Gelişen teknolojiler ile birlikte 2018 yılının sonlarında buz kalınlığı tespiti, su seviyesinin izlenmesi, orman alanlarının izlenmesi ve ar...
Conference Paper
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İnsanlık tarihi boyunca tarım hep önemli bir konumda olmuştur. Günümüzde teknolojinin gelişmesi tarımda verim arttırmaya yönelik çalışmaların yapılmasına öncülük etmiştir. Uzaktan algılamanın tarım alanında kullanılmaya başlanmasıyla büyük bölgelerdeki farklı ekin tipleri gözlemlenebilmiş, birbirleriyle olan farkları spektral bir çerçeve ile incele...
Article
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Toprak nemi içeriği yeryüzünde enerji değişimi ve su döngüsü açısından çok önemli bir faktördür ve doğal risklerin değerlendirilmesi, hidroloji, ekoloji, tarım ve iklim bilimi gibi pek çok alanda büyük etkiye sahiptir. Toprak nemi özellikle arazi kullanımlarında konumsal ve zamansal olarak çok fazla değişerek çeşitli çevresel ve ekolojik sorunlara...
Article
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Over the past few decades, surface deformations have been observed and measured geodetically at many places all over the world, including Central and western Turkey. Surface deformations in some of these regions have been attributed to aseismic slip-on faults and/or to excessive pumping of groundwater. In this study, we present our investigation on...
Article
Classification for land cover mapping is of great importance for accurate analysis and temporal monitoring of natural resources. In this study, the classification process was carried out using four synthetic aperture radar (SAR) and optical satellite images obtained in different seasons at equal intervals within a year. In addition to combining opt...
Article
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River basins are one of the most dynamic terrains on Earth, therefore, river morphology should be monitored continuously and its effects on the environment (i.e. natural hazards) should be mapped whenever possible. This study was carried out to quantify and visualize-flood-induced morphological changes in meander structures by UAV-based monitoring....
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Burned area (BA) mapping of a forest after a fire is required for its management and the determination of the impacts on ecosystems. Different remote sensing sensors and their combinations have been used due to their individual limitations for accurate BA mapping. This study analyzes the contribution of different features derived from optical, ther...
Article
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This paper investigates the possibility of describing location based NDT (Non-Destructive Testing) samples for an officially finalized project of a buried concrete layer beneath the İstanbul-Millet Street, by the combination of high frequency GPR and CORS-GPS. For this purpose, field works and laboratory studies were performed. First, data acqui...
Article
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Polarimetric Synthetic Aperture Radar (PolSAR) images are considered as an important data source for the crop mapping and monitoring especially for the time-critical agricultural applications. The objective of this paper is to evaluate the potential of a novel ensemble learning algorithm, Regularized Greedy Forest (RGF), for crop classification fro...
Article
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Due to food security and agricultural land management, it is crucial for decision makers and farmers to predict crop yields. In remote sensing based agricultural studies, spectral resolutions of satellite images, as well as temporal and spatial resolution, are important. In this study, we investigated whether there is a relationship between the Nor...
Article
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This study aims to detect recent landslide displacements caused by geological structure of the region where there is intense urbanization using advanced Interferometric Synthetic Aperture Radar (InSAR) techniques and with Global Navigation Satellite Systems (GNSS) observations in the Beylikdüzü and Esenyurt districts in Istanbul megacity, Turkey. I...
Article
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The aim of this study is to develop landslide susceptibility models for the northern part of the Bordj Bou Arreridj (BBA) region, Northeast Algeria, to reduce the physical degradation caused by landslides and, to inspect what is required to properly control it. A comprehensive landslide inventory and susceptibility assessment of this region are not...
Conference Paper
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Cropland mapping is an important inventory for food security and decision making operated by governments. Crop mapping is used to identify the croplands and their spatial distribution. For a reliable analysis and forecast for projection, multi-temporal data play a key role. Even current open and frequent optical satellite data such as Sentinel-2 an...
Article
In this study, we investigate the synergic use of synthetic aperture radar (SAR) backscattering (i.e., sigma nought σ 0) and InSAR coherence (γ) maps as a tool for crop growth monitoring. Experiments were carried out using Sentinel-1 TOPS SAR data and field observations in one of the State General Directorate of Agriculture Enterprise farms in Kony...
Conference Paper
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Obtaining high accuracy in land cover classification is a non-trivial problem in geosciences formonitoring urban and rural areas. In this study, different classification algorithms were tested withdifferent types of data, and besides the effects of seasonal changes on these classificationalgorithms and the evaluation of the data used are investigat...
Article
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Morphological changes, caused by the erosion and deposition processes due to water discharge and sediment flux occur, in the banks along the river channels and in the estuaries. Flow rate is one of the most important factors that can change river morphology. The geometric shapes of the meanders and the river flow parameters are crucial components i...
Article
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Son yıllarda, makine öğrenmesi ve veri bilimi alanındaki araştırmacılar özgün ve de özellikle topluluk öğrenmesi alanında yeni algoritmalar geliştirmeye başlamışlardır. Bu yeni nesil topluluk öğrenme algoritmalarından olan aşırı gradyan artırma (XGBoost) ve hafif gradyan artırma makineleri (LightGBM) yöntemleri, mevcut ve aynı zamanda sık kullanıla...
Article
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In recent years, machine learning and data science communities have started to develop novel algorithms, especially in the area of ensemble learning. The new generation ensemble learning algorithms such as extreme gradient boosting (XGBoost) and light gradient boosting machines (LightGBM) have gained great attention in data science because of their...
Conference Paper
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In this paper we present the initial results of PAZ Synthetic Aperture Radar (SAR) imagery for the first time. In the study, the potential of repeat-pass high resolution PAZ images were investigated. To this aim, both linear backscatter and interferometric results were presented. We used multi-temporal X-band (3.1 cm wavelength) new generation sing...
Article
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This study evaluates the use of multi-temporal Polarimetric SAR (Polarimetric Synthetic Aperture Radar, PolSAR) images for crop classification. Multi-temporal polarimetric SAR images could be very advantageous for crop classification especially in time-critical agricultural projects. Within this research, three types of machine learning algorithms...
Conference Paper
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In Turkey, floods and overflows are common disasters that cause damage. The Ceyhan River forms a large delta in Çukurova and flows into the Mediterranean Sea. When the Ceyhan river bed receives rainfall above its capacity, floods occur in the region. In this study, we investigated one of the current flash flooding which occurred in Ceyhan region of...
Conference Paper
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Multi-temporal Synthetic Aperture Radar (SAR) images are considered as an important data source for the mapping and monitoring of urban areas. Accurate classification of urban areas is critical for metropolitan cities to monitor and control the uncontrolled changes over cities as it can expand because of the population increase by years. Classifica...
Conference Paper
Agricultural productivity is an important factor that contributes to the socio-economic conditions of a country. Therefore, the loss of agricultural lands may cause irremediable outcomes. In parallel with the increase in the population density in the world, the speed of the urbanization rate has been increasing day by day, and previous studies have...
Conference Paper
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Nowadays, one of the most popular measuring platforms, increasingly applied in many applications is Unmanned Aerial Vehicles (UAVs) that can carry a variety of payloads, are automatically or the remote control system operated with the existing power system. UAVs provide high resolution data with photogrammetric flight plans realized with various se...
Conference Paper
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SAR images are usually preferred for agricultural classification since SAR signals are sensitive to the crop structure and dielectric properties. In particular, PolSAR images provide more beneficial information for crops as they record the complete characteristics of the scattering in each polarization for the targets. The aim of this paper is to e...
Article
Full-text available
The Synthetic Aperture Radar (SAR) technique superiority has provided various opportunities in agricultural studies mainly on crop monitoring and management. This has resulted in many different investigations and improvements in crop growth monitoring, crop disaster prediction and providing accurate information to precise farming. In this study, a...
Conference Paper
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Morphological operators have obtained great attention in the fields of image processing and pattern recognition due to the providing relevant spatial information for the classification. This study evaluates the impacts of morphological operators from dual-polarized, Advanced Land-Observing Satellite (ALOS) and Phased Array L-band Synthetic Aperture...
Conference Paper
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This study evaluates the impacts of three booster types (two tree-based and one linear model) in extreme gradient boosting (XGBoost) for crop classification using multi-temporal PolSAR (Polarimetric Synthetic Aperture Radar) images. Ensemble learning algorithms have received great attention in remote sensing for classification due to their greater...
Conference Paper
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Bitki gelişiminin izlemesinde konumsal ve zamansal değişikliği tanımlamak büyük öneme sahiptir. Sentinel-2 uydusunun kırmızı kenar bölgesinde üç (705 nm, 740nm, 783nm) ve yakın kızıl ötesi bölgede iki (842nm, 865nm) adet bant mevcuttur. Sentinel-2 uydusunun zengin spektral çözünürlüğü, zamansal çözünürlüğünün 5 gün olması ve konumsal çözünürlüğünün...
Conference Paper
Full-text available
Urbanization has a dynamic structure especially in megacities and therefore rapid detection of the urban is vital for sustainable management of the city. In this work, we apply a multi-source feature data approach to investigate the urban area of Istanbul, Turkey which is a megacity with an approximate 15 million inhabitant, and under strong both a...
Article
Full-text available
Surface deformations were observed in Bolvadin, located in the province of Afyon (western Turkey) in the last decade which occurred without any destructive earthquakes. In this study, ground deformation of the Bolvadin region is analyzed by means of multi-temporal interferometric synthetic aperture radar (InSAR) technique with Sentinel-1 synthetic...
Conference Paper
Full-text available
İnsansız Hava Araçları (İHA), mevcut güç sistemi ile otomatik olarak ya da uzaktan kumanda sistemi yardımıyla uçurulan ve faydalı yük taşıyabilen pilotsuz hava araçlarıdır. İHA’lara entegre edilmiş algılayıcılar, çalışma alanları için hazırlanan fotogrametrik uçuş planları ile otomotik uçuşlar gerçekleştirilerek düşük maliyet ve işgücünün yanı sıra...
Article
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In terms of providing various scattering mechanisms, polarimetric target decompositions provide certain benefits for the interpretation of PolSAR images. This paper tested the capabilities of different polarimetric target decompositions in crop classification, while using a recently launched ensemble learning algorithm—namely Light Gradient Boostin...
Article
Full-text available
The Polarimetric Synthetic Aperture Radar technique has provided various opportunities and challenges in agricultural activities mainly on crop management. The aim of this study is to investigate the sensitivity of 10 parameters derived from multi-temporal Sentinel-1 Synthetic Aperture Radar (SAR) data, to crop height and canopy coverage (CC) of ma...
Conference Paper
Full-text available
Crops have very dynamic structure and various scattering characteristics over the phenological growth stages. Polarimetric SAR (PolSAR) images are the important data source for large-scale/time-critical agricultural practices and able to provide the details about the structural and geometrical properties of the crops. In this study, the potential o...
Article
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This study aims to test the spectral and spatial consistency of Sentinel-2 and Landsat-8 OLI data for the potential of monitoring longos forests for four seasons in Igneada, Turkey. Vegetation indices, including Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) and Normalized Difference Water Index (NDWI), were generate...
Conference Paper
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EXTENDED ABSTRACT Introduction The snow cover variations are likely to have inevitable impacts on mountain hydrological function and its components including vegetation, wildlife, and people who depend on this ecosystem. However, mountain summit which is covered by snow cover is recognized as a tangible region on earth especially it responses quic...
Conference Paper
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Crops are dynamically changing and time-critical in the growing season and therefore multitemporal earth observation data are needed for spatio-temporal monitoring of the crops. This study evaluates the impacts of classical roll-invariant polarimetric features such as entropy (H), anisotropy (A), mean alpha angle (α¯) and total scattering power (SP...
Presentation
Full-text available
ORMAN AĞAÇ SINIR EKOTONUNUN DEĞİŞİMLERİNİ MEŞCERE HARİTALARI İLE VE CBS TENİKLERİNİ KULLANILARAK İZLENMESİ
Conference Paper
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Ormanların ağaç sınırının biyolojik çeşitliliğini korumak için, orman ağaç sınırı kaymalarının izlenmesi gerekmektedir. Ağaç sınır ekotonu, iklim ısınmasına tepki veren en hassas dağ ekosistem bileşenlerinden biri olarak kabul edilmektedir. Bu çalışma ile, geçmişte Cehennemdere’de dört dönem arası (1970-1992-2002-2013)gerçekleşen orman ağaç sınırı...
Article
Full-text available
With the latest development and increasing availability of high spatial resolution sensors, earth observation technology offers a viable solution for crop identification and management. There is a strong need to produce accurate, reliable and up to date crop type maps for sustainable agriculture monitoring and management. In this study, RapidEye, t...
Article
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Abstract Background Treeline dynamics have inevitable impacts on the forest treeline structure and composition. The present research sought to estimate treeline movement and structural shifts in response to recent warming in Cehennemdere, Turkey. After implementing an atmospheric correction, the geo-shifting of images was performed to match images...
Conference Paper
Full-text available
Temporal monitoring of crop types is essential for the sustainable management of agricultural activities on both national and global levels. As a practical and efficient tool, remote sensing is widely used in such applications. In this study, Sentinel-1 Synthetic Aperture Radar (SAR) imagery was utilized to investigate the performance of the sensor...
Conference Paper
Full-text available
NDVI play a key role as an indicator of forest health and diversity in forest cover monitoring investigations. The Study aim was monitoring spatial and temporal forest cover natural expansion using 2017 Landsat 8 OLI and 1984 TM data in the Cehennemdere, Turkey. After performing image preprocessing, NDVI (Normalized Difference Vegetation Index) thr...
Presentation
Full-text available
NDVI play a key role as an indicator of forest health and diversity in forest cover monitoring investigations. The Study aim was monitoring spatial and temporal forest cover natural expansion using 2017 Landsat 8 OLI and 1984 TM data in the Cehennemdere, Turkey. After performing image preprocessing, NDVI (Normalized Difference Vegetation Index) thr...
Conference Paper
Full-text available
In this study, the classification accuracies of four different classification methods with two balanced and two imbalanced data sets for the classification of Sentinel-1B SAR (Synthetic Aperture Radar) data were comparatively evaluated and the impacts of training data sets into the accuracy were investigated. In some circumstances, it is possible t...
Conference Paper
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In this study, the impacts of polarimetrie and spatial features on the classification accuracy of full polarimetrie SAR (PolSAR) RADARSAT-2 data was investigated. Since PolSAR systems have the advantage of providing day-and-night and weather-independent images could provide the geo/bio-physical and structural information about the target objects he...