Object based classification of crop pattern using multi-temporal satellite dataset in multi-cropped agricultural areas: Lower seyhan plane case study [Tarım alanlarında Çok zamanlı uydu verileri kullanılarak Ürün deseninin obje tabanlı sınıflama yöntemiyle belirlenmesi: Aşağı seyhan ovası Örneği]

Lower Seyhan Plane (LSP) is one of the most productive agricultural basins of Turkey and it covers main part of the Çukurova Region. The crop productivity in the study area is much more than most developed countries and Turkey’s average productions. Ideal spatial conditions such as climate, soil and transportation for agriculture creates these productive lands. The aim of this research was to define winter and summer crop pattern using multi-temporal Landsat satellite dataset applying object based classification technique. Crop pattern was detected according to 2013 hydrological term (October 2012 – September 2013) as winter and summer. Landsat dataset was defined according to the greenest and cloud free times of the crops. Object based classification was applied because of regular parcel distribution of the crops. As a result of the study; general kappa coefficiency of LSP was obtained as 0.9. According to the results, it was found that while wheat, potato and onion for winter crops were determined as areal distribution, corn and cotton as first crop and corn as second crop in summer season. © 2017, Centenary University. All rights reserved

Mapping the dominant forest tree distribution using a combined image classification approach in a complex Eastern Mediterranean basin

A land use/cover (LUC) classification strategy based on an unsupervised k-means, object-based and expert knowledge classification technique was cross-checked using Landsat satellite datasets along with ancillary data for mapping dominant forest tree species of the Göksu River Basin in the Eastern Mediterranean Region. Eight dominant forest tree species were classified as juniper (Juniperus excelsa Bieb), Taurus fir (Abies cilicica Ant. & Kotschy), Turkish pine (Pinus brutia Tenore), black pine (Pinus nigra Arnold), cedar (Cedrus libani Rich), oak (Quercus pubescens Schwarz and Quercus cerris Pall), stone pine (Pinus pinea L.) and plane (Platanus orientalis L.). The results of the combined classification approach (CCA) were compared with a traditional maximum likelihood classifier (MLC) for a better understanding of the benefits of the CCA. Kappa values of the CCA and the MLC were derived as 0.77 and 0.44 respectively. © 2016 Mapping Sciences Institute, Australia and Surveying and Spatial Sciences Institute

Can the neutrophil-to-lymphocyte ratio (NLR) predicts fetal loss in preeclampsia with severe features?

PMID = 3269332

Jaw biodynamic data for 24 patients with chronic unilateral temporomandibular disorder

This study assessed 24 adult patients, suffering from severe chronic unilateral pain diagnosed as temporomandibular joint (TMJ) disorder (TMD). The full dentate patients had normal occlusion and had never received an occlusal therapy, i.e., were with natural dental evolution/maturation. The following functional and dynamic factors were assessed: (1) chewing function; (2) TMJ remodeling or the condylar path (CP); and (3) lateral jaw motion or lateral guidance (LG). CPs were assessed using conventional axiography, and LG was assessed by K7 jaw tracking. Seventeen (71%) of the 24 (100%) patients consistently showed a habitual chewing side. The mean (standard deviation [SD]) of the CP angles was 47.90 (9.24) degrees. The mean (SD) of the LG angles was 42.95 (11.78) degrees. Data collection emerged from the conception of a new TMD paradigm where the affected side could be the habitual chewing side, the side with flatter lateral jaw motion or the side with an increased CP angle. These data may lead to improved diagnosis, therapy plans and evolution in TMD patients