Using Cosmic-ray Neutron Probes in validating the Satellite Soil Moisture Products and Land Surface Models

Duygu, Mustafa Berk
Akyürek, Sevda Zuhal


Using cosmic-ray neutron probes in validating satellite soil moisture products and land surface models
Duygu, Mustafa Berk; Akyürek, Sevda Zuhal (MDPI AG, 2019-01-01)
Soil moisture content is one of the most important parameters of hydrological studies. Cosmic-ray neutron sensing is a promising proximal soil moisture sensing technique at intermediate scale and high temporal resolution. In this study, we validate satellite soil moisture products for the period of March 2015 and December 2018 by using several existing Cosmic Ray Neutron Probe (CRNP) stations of the COSMOS database and a CRNP station that was installed in the south part of Turkey in October 2016. Soil moist...
Using plasmid reference materials for genetically modified organisms analysis and their verification with inter-laboratory comparison test
Tuğrul, Tuğçe Ceren; Yücel, Ayşe Meral; Yılmaz, Remziye; Department of Biotechnology (2016)
Genetically modified organisms (GMOs) have been strictly controlled with legislative regulation in many countries. In this study, plasmid reference materials (PRMs) for identification and quantification of GMOs had been developed and the verification of PRMs was done to be done with interlaboratory comparison test (ICT). PRMs made of plasmid DNA that were used for developing GMO analysis method. In this study, four PRMs were developed and their optimization was achieved with quantitative polymerase chain re...
Using artificial neural network (ANN) techniques for solar irradiation predictions
Akbaba, Erol Can; Akınoğlu, Bülent Gültekin; Department of Physics (2019)
Estimation of solar energy is a task with many benefits to a diverse group of people. This purpose is pursued with many different methodologies. Artificial Neural Networks (ANNs) are the novel methods of choice in the last decade. We compare the classical solar irradiation estimation methods with different ANN schemes including different inputs, data amount and estimation target. Our analyses show that the use of ANN to predict solar irradiation reaching the Earth’s surface gives similar results with that o...
Using an in-situ infra-red camera system for sea turtle hatchling emergence monitoring
Oğul, Fatıma Nur; Huber, Franziska; Cihan, Sinem; Duzgun, Kumsal; Kıdeyş, Ahmet Erkan; Özkan, Korhan (2019-06-01)
We tested for the first time the efficiency of the use of infra-red (IR) cameras for sea turtle hatchling monitoring. The cameras were installed on one green turtle (Chelonia mydas) and four loggerhead turtle (Caretta caretta) nests during 2014 and 2015 nesting season in the south-east Mediterranean, Turkey. The camera monitoring, even with the limited sample size, have successfully corroborated the previous observations and provided further insights on hatchling emergence behavior. The analysis of the came...
Using Adaptive Neuro-Fuzzy Inference System for Classification of Microarray Gene Expression Cancer Profiles
Haznedar, Bülent; Arslan, Mustafa Turan; Kalınlı, Adem (2018-05-01)
Microarray is a technology that enables simultaneously analysis of thousands of genes in DNA structure depending on the advances in biochemistry. With this technology, it has become possible to diagnose and treat heredity diseases by analyzing thousands of gene expression levels. This study proposes an artificial intelligence method, Adaptive neuro-fuzzy inference system (ANFIS), to classify cancer gene expression profiles. The findings obtained with the proposed ANFIS approach are compared with the results...
Citation Formats
M. B. Duygu and S. Z. Akyürek, “Using Cosmic-ray Neutron Probes in validating the Satellite Soil Moisture Products and Land Surface Models,” 2019, Accessed: 00, 2021. [Online]. Available: