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Öğe An Approach to Comparing Different Land Evaluation Methods with NDVI(Selçuk Üniversitesi, 2018 Temmuz) Dedeoğlu, Mert; Özaytekin, Hasan Hüseyin; Başayiğit, LeventLand evaluation is a necessary process for determining the potential cabilities of the land under different uses and for sustainable soil fertility. Today, many land evaluation models have been developed and using for this purpose. But the availability of models is constantly being investigated by the researcers. In this study, Storie Index (SI) and Productivity Index (PI) models were compared with NDVI values which are a remote sensing analysis in Konya Beşgözler agricultural field using GIS. In the results of the study, SI land evaluation model was determined with higher accuracy coefficient (r2 : 0.86) compared to PI model (r2 : 0.29) in terms of the ability of the soil cability based on the density of vegetation and the use of this model is recommended for Arid region soils.Öğe CBS ve LANDSAT uydu görüntüsü ile Beyşehir Gölü havzası toprak kayıplarının rusle metoduna göre tahmini(2016) Başayiğit, Levent; Uçar, Gizem; Dedeoğlu, MertBu çalışmada, Beyşehir Gölü Havzası'nda oluşan toprak kayıplarının Coğrafi Bilgi Sistemleri ve Uzaktan Algılama Teknikleri kullanarak RUSLE metoduna göre tahmini ve haritalanması yer almaktadır. Çalışmada havza alanı için hazırlanmış haritalar, çeşitli araştırma sonuçları, raporlar, meteorolojik veriler, istatistiki bilgiler, Landsat-5 TM uydu görüntüsü ve arazi çalışmaları sonucu elde edilen veriler kullanılmıştır. RUSLE metodu için gerekli olan parametreler ArcGIS yazılımı kullanılarak tematik katmanlar halinde raster veriler olarak hazırlanmış ve metot gereği ilişkilendirilmiştir. Çalışma sonucunda Beyşehir Gölü Havzası'nın yaklaşık % 85'inde erozyonun tehlikeli bir durum gösterdiği sonucuna varılmıştır. Oluşturulan erozyon haritasına göre Beyşehir Gölü Havzasında potansiyel yıllık toprak kaybı toplamı 36.049.081 ton.yıl-1 ortalaması ise 83,97 ton.ha-1 olarak tahmin edilmiştirÖğe Investigation of N Deficiency in Cherry Trees Using Visible and Near-Infrared Spectra Part of the Spectrum in Field Condition(OFFICE SPECTROSCOPY & SPECTRAL ANALYSIS, 2017) Başayiğit, Levent; Dedeoğlu, Mert; Akgül, Hüseyin; Ucgun, Kadir; Altındal, MesutThis objective of the study was to develop a model for the determination of N deficiency in cherry trees using a combination of visible near infrared methods and spectro-radiometric measurement. In our experimental design, cherry seedlings were grown under various N deficiency conditions in nutrient-controlled containers. The reflectance values of plant leaves were measured using a spectro-radiometer. Plant leaves samples were simultaneously collected. Their nutrient contents were determined in the laboratory. Afterwards, we performed a statistical comparison of the reflectance values. Sample analysis results established the significant wavelengths. Moreover, we received accurate regression models for predicting N deficiency in cherry leaves that were grown in nutrient solutions. Next, we verified the model validity by measuring the reflectance of the leaves collected from cherry orchards at various locations using a spectroradiometer. Nutrient deficiencies were calculated using the developed model, and then, the predicted and measured data were compared to evaluate model validity. From these results, we determined the wavelengths that yielded the most accurate results for N prediction, selected from the blue and green regions of the spectrum. We established that for N prediction in cherry trees, the simplest model can be created using 560 and 570 nm wavelengths. However, the evaluated model can be applicable only under certain conditions. We concluded that in order to develop a prediction method with sufficient application capacity, as well as the ability to assess nutritional and physiological characteristics, the ecology condition of the plant should be properly considered based on the model.Öğe Isparta-Atabey civarı topraklarının etüdü ve haritalanması(Selçuk Üniversitesi Fen Bilimleri Enstitüsü, 1996-08-01) Başayiğit, Levent; Karakaplan, SaimBu araştırma, saha topraklarının özellikleri, davranışları ve bitki istekleri göz önünde bulundurularak ideal arazi kullanım planlamasına cevap verecek bilgileri elde etmek amacıyla gerçekleştirilmiştir. İlk olarak hava fotoğrafları ve topoğrafik haritalar yorumlanarak "Foto- Yorum Haritası" elde edilmiştir. Bu harita üzerinde olası seriler saptanarak arazide profiller açılmıştır. Profillerde, toprakların morfolojik görünümleri tanımlanmış, alınan bozulmuş ve bozulmamış örneklerde toprağın fiziksel, kimyasal ve morfolojik özellikleri belirlenmiştir. Toprakların sahip oldukları fiziksel, kimyasal ve morfolojik özellikleri ile yapılan arazi etüdleri, birlikte değerlendirilerek haritalama çalışmaları yapılmıştır. Söz konusu çalışmada 4 farklı fızyoğrafık ünite üzerinde 6 farklı seri belirlenmiştir. II Bu seriler, derinlik, eğim, erozyon taşlılık ve tekstür özelliklerine göre 19 ayrı faza ayrılarak "Temel Toprak Haritası" oluşturulmuştur. Temel toprak haritasının yorumundan "Arazi Kullanma Yeteneği Sınıflama Haritası" hazırlanarak kullanım ile ilgili önerilerde bulunulmuştur.Öğe The prediction of iron contents in orchards using VNIR spectroscopy(TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, 2015) Başayiğit, Levent; Dedeoğlu, Mert; Akgül, HüseyinThis study investigated the possibility of determining iron deficiency in orchard leaves using visible/near-infrared methods. Sampling was performed in 24 different healthy orchards (apple, cherry, and peach trees) grouped depending on the severity of iron deficiency. The study was conducted on a total of 120 plant samples including 40 apple, 40 cherry, and 40 peach trees. Spectral reflectance of leaves was measured with a FieldSpec HandHeld spectroradiometer (ASD Inc.) using a plant probe and a leaf clip. Total and active iron contents of leaves in the same samples were determined. Derivative graphs were drawn for the measured spectral curves. Stepwise multiple linear regression analysis was used to model the total and active iron levels selected from spectral reflectance values and derivative curves. Mathematical estimation models with the highest relationship were established. Wavelengths between 540 nm and 560 nm (visible green) and 990 nm and 1010 nm (near infrared) were found to indicate the active iron levels in apple, cherry, and peach trees. The coefficients of accuracy for active iron content were found to be as follows: apple 76.70%, cherry 75.28%, and peach 78.69%. The total iron content was found to be as follows: cherry 63.25%, peach 59.65%, and apple 75.08%. The selected wavelengths produced higher estimation values for the determination of active iron than those for total iron because total iron content affected different regions of the electromagnetic spectrum.
