Hasan Tonbul

Gebze Technical University | GYTE · Department of Geodetic and Photogrammetric Engineering

Poplars (Populus sp.), a tree that grows rapidly species, are significant as industrial forest products. The delineation and monitoring of poplar cultivated areas are invaluable for decision-making processes. With the remote sensing technology, accurate detection of poplar planted areas could be determined much faster, more economically, and with m...

Forest fires pose a serious risk to ecosystems in the Mediterranean region; thus, 2021 fires in the Mediterranean region of Türkiye emphasize the requirement for accurate and interpretable forest fire susceptibility (FFS) mapping. This study presents an innovative approach to FFS mapping for the Mersin, Antalya, and Mugla provinces, integrating mac...

The increasing demand for digital agriculture necessitates agricultural productivity and environmental sustainability advancements. Unmanned Aerial Vehicle (UAV)-based remote sensing technologies offer valuable insights for enhancing crop yields and optimizing resource use compared to traditional ground-based data collection methods. Processing the...

Bu çalışmada, Google Earth Engine (GEE) platformunda MODIS MCD64A1 ve European Space Agency (ESA) Fire_cci v. 5.1 (FireCCI51) küresel yanmış alan gözlem verileri kullanılarak Türkiye'de 2015-2020 yılları arasında meydana gelen yanmış alanların konumsal ve zamansal dağılımları belirlenmiştir. Elde edilen sonuçlar, Avrupa Orman Yangınları Bilgi Siste...

As valued members of forest ecosystems, fast-growing tree species are of great importance for protecting natural forests, fulfilling the demand for raw wood material, and preserving biodiversity and ecosystem services. In this regard, multi-temporal monitoring and evaluation of poplar planted areas are essential for decision makers and planners to...

Modern remote sensing technologies play a critical role in agricultural applications, especially in recent years with the advances in unmanned aerial vehicle (UAV) technologies and artificial intelligence. Remotely sensed imagery is an invaluable data source for sustainable agricultural activities, such as precision agriculture. This study evaluate...

Rapid detection and periodic monitoring of mucilage formations are of valuable importance for early warning and mitigation strategies. Recent advances in remote sensing technology offer extraordinary advantages for identifying and monitoring fast-emerging and floating mucilage aggregates. To determine mucilage formations on the water surface, this...

In recent years, detailed monitoring of different vegetation classes by using modern remote sensing technologies has become one of the essential issues for smart agriculture activities. In this study, using three advanced machine learning algorithms, namely canonical correlation forest (CCF), rotation forest (RotFor) and support vector machines (SV...

Forest resources are the primary components of the ecosystem environment. Poplars (Populus sp.), a member of the fast-growing trees, are one of the most productive forest tree species for industrial production thanks to their desirable traits comprising rapid growth, hybridization ability, and ease of propagation. Determining poplar cultivated area...

Son yıllarda hızlı gelişen türler ve klonların belirli üretim teknik ve sistemlerle yetiştirilmesi, odun hammadde arzının karşılanması noktasında büyük öneme sahiptir. Bu bağlamda, dünyada ve Türkiye’de kavak türleri ve klonları kullanılarak geniş ölçekte endüstriyel plantasyonlar oluşturulmaktadır. Türkiye’de yetiştirilen kavak türlerinin ayrımı,...

The issue of accurate identification of the Earth's surface features from the very high spatial resolution (VHSR) satellite imagery has been a major area of interest within the field of remote sensing. Vegetation indices obtained from the remotely sensed imagery have long been used as a simple but effective tool for quantitative and qualitative ide...

Hızla büyüyen bir ağaç türü olan kavak, Türkiye'de büyük endüstriyel ve ticari öneme sahiptir. Bu nedenle, kavak ağaçlarının diğer bitki türlerinden ayırt edilmesi önemli bir araştırma konusudur. Uzaktan algılama teknolojileri, zaman ve maliyet açısından kavak ekili alanları, geleneksel yaklaşımlardan daha verimli bir şekilde tespit etme yeteneğine...

Forest fires cause aerosol emissions and biomass burning that pose major threats to the ozone layer. The precise estimation of burned area with the degree of burn severity plays a critical role to investigate the impacts of fire on forests. Burn severity analysis using remotely sensed data has become popular in the last decade for post-fire detecti...

The aim of this study is to analyze the forest fires, occurred in Manavgat, Bodrum and Marmaris districts in July and August 2021, using remote sensing techniques with multi-temporal optical satellite images and to determine the boundaries of the damaged areas. ESA’s Sentinel-2 images acquired before, during and after fires were obtained for the an...

Having reliable thematic information representing the Earth’s surface objects is one of the main input data required for many applications in agricultural, forestry and environmental sciences. As well as being the lungs of the world and their crucial role in carbon cycle, forests are a one of the valuable natural resources for many daily supply pro...

Spectral libraries can be used for the analysis of the spectral properties of tree species, as well as for the detection and mapping of tree species through remotely sensed data. This study aims to statistically analyze the performance of atmospheric correction methods in calibrating ground spectral measurements with the Sentinel-2 imagery. In this...

Global warming threatens ecosystems through rising temperatures, increasing sea levels, drought, and extreme weather conditions. The natural balance of seas and oceans is also at stake with recent outbreaks of mucilage events all over the world. The mucilage phenomenon, which has been frequently observed in the Adriatic and Tyrrhenian seas, has tak...

Due to the increased availability of high spatial resolution remotely sensed images, the need to analyze the data obtained from these images more effectively and efficiently has advanced the development of new approaches and methods. In light of these developments, a new approach, Object-Based Image Analysis (OBIA) or also called Geographic Object-...

Due to the complex spectral and spatial structures of remotely sensed images, the delineation of land use/land cover classes using conventional approaches is a challenging task. This article tackles the problem of seeking optimal parameters of multi-resolution segmentation for a classification task using WorldView-2 imagery. Taguchi optimization wa...

Very high-resolution images obtained with recently launched satellite sensors have been used intensively in the remote sensing area. The widespread use of high-resolution images has greatly facilitated the creation and updating of land use/land cover (LULC) maps. Traditional pixel-based image analysis methods that extract information based solely o...

The poplar species in the forest ecosystems are one of the most valuable and beneficial species for the society and environment. Conventional methods require high cost, time and labor need, and the results obtained vary and are insu˚cient in terms of achieved accuracy level. Determination of poplar cultivated fields and mapping of their spatial sit...

Forests are of great importance for the sustainability of the ecosystem as well as for the mankind. The poplar species in the forest ecosystems are one of the most valuable and beneficial species for the society and environment. Turkey is a very rich country in terms of cultivated poplar species. The determination of poplar areas in Turkey is usual...

Forest fires give great harms to the ecosystem and wildlife by destroying the forested lands and threaten the lives and properties. Due to climate change and global warming, forest fires have increased significantly in recent years. Therefore, reliable and up-to-date information about the location and extent of the burned area is essential for deci...

Parallel to the rapid technological advances, up-to-date remote sensing platforms and sensors have made it possible to observe the Earth's surface features at a higher spatial and spectral resolution. The WorldView-2 (WV-2) imagery has been effectively used for the detailed mapping of agricultural crop-type types in many studies. The selected area...

Due to the high industrialization and corresponding increase in population, a significant number of housing request was witnessed in the last several decades in metropolitan city of Istanbul, Turkey. As a result, a significant amount of land degradation and environmental change has occurred, particularly in the outskirts of the city. According to t...

In this study, Sentinel-2A and Worldview-2 images of a study area covering Gebze district of Kocaeli were used to analyze the correlation between spatial resolution of imageries and estimated parameter values.

Over the past two decades, object-based image analysis (OBIA) has become an important tool for information extraction from remote sensing images. Segmentation parameter estimation and optimization is one of the most important research areas in OBIA studies. However, parameter optimization is an extremely difficult and laborious process for high-qua...

Due to the complex nature of remotely sensed imagery, it is difficult to construct meaningful image objects by segmenting a landscape features in an image. Because many factors including parameter selection, band weights, spectral resolution, spatial resolution and textural information affect the quality of the segments to be produced, a comprehens...

Son yıllarda uydu sensörleri ile elde edilen yüksek mekânsal çözünürlüklü yer gözlem görüntüleri uzaktan algılama alanında yoğun olarak kullanılmaktadır. Yüksek çözünürlüklü görüntülerin yaygın olarak kullanılması, arazi örtüsü-kullanımı haritalarının oluşturulmasını ve güncellenmesini büyük ölçüde kolaylaştırmıştır. Bununla birlikte, piksellerin s...

In parallel to the increasing accessibility of high resolution imagery, object-based image analysis (OBIA) has recently become a hot topic in remote sensing. Segmented objects significantly reduce the high-dimensionality and low-training size problems for classification process. On the other hand, Estimation of Scale Parameter (ESP-2) tool, which i...

Due to the complex nature of remotely sensed imagery, it is difficult to construct meaningful image objects by segmenting a landscape features in an image. Because many factors including parameter selection, band weights, spectral resolution, spatial resolution and textural information affect the quality of the segments to be produced, a comprehens...

With smaller pixel coverages from recent sensors, considering single pixels in the classification process has become ineffective and incapable for delineation of the characteristics of targeted land use land cover (LULC) types. Object-based image analysis (OBIA) has been recently applied to enhance the identification performance of the classifiers...

Object-based image analysis (OBIA) has attained great importance for the delineation of landscape features, particularly with the accessibility to satellite images with high spatial resolution acquired by recent sensors. Statistical parametric classifiers have become ineffective mainly due to their assumption of normal distribution, vast increase i...

Son yıllarda yüksek mekânsal çözünürlüklü uydu görüntü miktarındaki artış ile birlikte yüksek spektral heterojenlik içeren bu görüntülerden bilgi çıkarımı önemli bir araştırma konusu olmuştur. Bu görüntülerden bilgi çıkarabilmek için geleneksel yaklaşımların kullanımı yeterli olmamaktadır. Nesne tabanlı görüntü analizi (NTGA), yüksek çözünürlüklü u...

Segmentation is the first and most crucial step of object-based image analysis in that an image is partitioned into homogenous areas, known as superpixels, considering the spectral, textural and contextual information of contiguous pixels. Superpixels have become popular for use particularly in computer vision. By considering superpixels instead of...

The increasing availability of very high resolution (VHR) commercial satellites provide new possibilities for object recognition, image classification, or information extraction. In this context, object-based image analysis (OBIA) has drawn considerable solutions in comparison with traditional pixel-based image processing methods. The OBIA basicall...

Focus of the ecology researches have changed in recent years due to limited and decreasing natural resources on the Earth. At the same time, agricultural production, which has been the main source of life since the beginning of mankind, faces important problems today. More food supply and sustainable agricultural practices have become even more imp...

In object-based image analysis, obtaining representative image objects is an important prerequisite for a successful image classification. The major threat is the issue of scale selection due to the complex spatial structure of landscapes portrayed as an image. This study proposes a two-stage approach to conduct regionalized multiscale segmentation...

Segmentation is the process of creating homogeneous image objects (segments) based on the deterministic attributes of the image. Basically, image objects should correspond to real earth objects of interest. Since the process of determining segments and properties is the basis of classification, the segmentation process is the most important phase o...

Object-Based Image Analysis (OBIA) has gained swift popularity in remote sensing area mainly due to the increasing availability of very high resolution imagery. Image segmentation is a major step within OBIA process. Image segmentation quality remarkably influences the subsequent image classification accuracy. It is necessary to implement advanced...

Object-Based Image Analysis (OBIA) has gained swift popularity in remote sensing area mainly due to the increasing availability of very high resolution imagery. Image segmentation is a major step within OBIA process. Image segmentation quality remarkably influences the subsequent image classification accuracy. It is necessary to implement advanced...

OZET: Nesne-tabanlı görüntü analizi, segmentasyon ve sınıflandırma olmak üzere iki aşamadan oluşmaktadır. Segmentasyon, görüntüdeki belirleyici nitelikleri temel alarak homojen görüntü nesneleri (segment) oluşturma işlemidir. Esas olarak, görüntü nesneleri ilgilenilen gerçek yeryüzü nesnelerine karşılık gelmelidir. Segment ve özelliklerini belirlem...

Günümüzde, hiperspektral görüntülerin miktarındaki artışa paralel olarak nesne-tabanlı sınıflandırma yaklaşımı arazi kullanımı ve arazi örtüsü sınıflarının belirlenmesinde daha önemli bir hale gelmiştir. Hiperspektral görüntülerin yüksek boyutlu veri içermesi ve genellikle sınırlı sayıda eğitim verisi bulunmasından dolayı, istatistik tabanlı parame...

OZET Günümüzde, hiperspektral görüntülerin miktarındaki artışa paralel olarak nesne-tabanlı sınıflandırma yaklaşımı arazi kullanımı ve arazi örtüsü sınıflarının belirlenmesinde daha önemli bir hale gelmiştir. Hiperspektral görüntülerin yüksek boyutlu veri içermesi ve genellikle sınırlı sayıda eğitim verisi bulunmasından dolayı, istatistik tabanlı p...

Satellite based remote sensing technologies and Geographical Information Systems (GIS) present operable and cost-effective solutions for mapping fires and observing post-fire regeneration. Mersin-Gülnar wildfire, which occurred in August 2008 in Turkey, selected as study site. The fire was devastating and continued 55 days. According to Turkish Gen...

Satellite based remote sensing technologies and Geographical Information Systems (GIS) present operable and cost-effective solutions for mapping fires and observing post-fire regeneration. Mersin-Gülnar wildfire, which occurred in August 2008 in Turkey, selected as study site. The fire was devastating and continued 55 days. According to Turkish Gen...

Within the last two decades, object-based image analysis (OBIA) considering objects (i.e. groups of pixels) instead of pixels has gained popularity and attracted increasing interest. The most important stage of the OBIA is image segmentation that groups spectrally similar adjacent pixels considering not only the spectral features but also spatial a...

Within the last two decades, object-based image analysis (OBIA) considering objects (i.e. groups of pixels) instead of pixels has gained popularity and attracted increasing interest. The most important stage of the OBIA is image segmentation that groups spectrally similar adjacent pixels considering not only the spectral features but also spatial a...

Determining post-fire information is crucial for post-fire management activities and rehabilitation treatments. The use of robust and advanced approaches is needed to determine fire severity and thoroughly analyze post-fire rehabilitation period. Object-based image analysis (OBIA) is a powerful approach that has been successfully applied in many re...

As is known to all, the world’s natural sources are limited. For this reason, land management strategies are getting more important day by day. Remote sensing is one of the main solution for geographic information systems issues such as producing land cover-land use maps for presenting total forest areas, urban fabric and cadastral areas especially...

Effects of forest fires and implications are one of the most important natural disasters all over the world. Statistical data observed that forest fires had a variable structure in the last century in Turkey, but correspondingly the population growth amount of forest fires and burn area increase widely in recent years. Depending on this, erosion, l...

Orman yangınları etkileri ve doğurduğu sonuçlar itibarıyla tüm dünyada en önemli doğal afetlerin başında gelmektedir. İstatistiki veriler incelendiğinde orman yangınlarının ülkemizde değişken bir yapıda olduğu fakat son yıllarda nüfus artışına paralel olarak yangın sayısında belirgin bir artış olduğu gözlemlenmektedir. Bu durum; erozyon, heyelan, ç...