RapidEye ve PlanetScope uydu bantları ile pamuk bitkisi yaprak azot içeriğinin belirlenmesi

Year 2020, Volume: 25 Issue: 2, 169 - 180, 21.08.2020

Serkan Kılıçaslan , Remzi Ekinci , Sema Başbağ

https://doi.org/10.37908/mkutbd.654258

Abstract

Amaç: Bu çalışma, pamuk bitkisinin farklı yaprak azot içeriklerinin uydu görüntülerinde oluşan değişimlerini saptamak, uydu görüntüleri yardımı ile yapraktaki azot içeriğini tahmin etmek, gelecekte uydu görüntülerini kullanarak geniş pamuk üretim alanlarında azot gereksinimlerini saptayarak azotlu gübre uygulama tavsiyelerinde bulunmak amacı ile yapılmıştır.

Yöntem ve Bulgular: Mardin ekolojik koşullarında, tesadüf parselleri deneme deseninde 3 tekerrürlü olarak 6 farklı lokasyonda yürütülmüştür. Çalışmada, PlanetScope uydusunun 4 (Blue, Green, Red ve NIR) bandı ve RapidEye uydusunun 5 (Blue, Green, Red, NIR ve RedEdge) bandı kullanılmıştır. İncelenen yaprak azot içeriği ile uydu görüntüleri arasındaki ikili ilişkilerin saptanması yapılarak, regresyon (yaprak azot içeriği-yansıma) ve ters regresyon (yansıma-yaprak azot içeriği) analizleri yapılmıştır. Yaprak azot içeriği ile RE_Blue (r=-0.58**), RE_Green (r=-0.46**) ve RE_Red (r=-0.67**), PS_Blue (r=-0.54**), PS_Green (r=-0.43**) ve PS_Red (r=-0.42**) yansıma verileri arasında önemli korelasyon saptanmıştır.

Genel Yorum: Yaprak azot içeriğinin tahmin edilmesinde incelenen tüm uydu bantları arasından RE_Blue, RE_Green, RE_Red, PS_Blue, PS_Green, PS_Red uydu bantlarının kullanılması tavsiye edilmektedir.

Çalışmanın Önemi ve Etkisi: Bu çalışma, büyük pamuk üretim alanlarında azotlu gübre kullanım ihtiyacının varlığını tespit etmek yönünden büyük önem taşımaktadır. Özellikle GAP bölgesinde artan pamuk ekim alanları ve pamuk üretiminde azotlu gübreleme dikkate alındığında çalışma yaygın etki ve büyük alanlarda hızlı sonuç elde etme yönünden önemlidir. 

Keywords

Pamuk, azot, uydu görüntüleri, RapidEye, Planet Scope

Supporting Institution

Dicle Üniversitesi Bilimsel Araştırma Projeleri Koordinasyon Birimi (DÜBAP)

Project Number

Ziraat.18.022

Thanks

Bu çalışma, Dicle Üniversitesi Bilimsel Araştırma Projeleri Koordinasyon Birimi tarafından Ziraat.18.022 nolu proje ile mali desteklemiş olup, desteğinden ötürü teşekkür ederiz.

Determination of nitrogen content of cotton plant leaves from RapidEye and PlanetScope satellite data

Abstract

Aims: The aim of this study was to determine the changes in nitrogen contents of cotton plant leaves by using satellite images, to estimate nitrogen status in the plant leaves with the help of satellite images, and to determine nitrogen fertilizer requirements in large cotton production areas by using satellite images in the future to make nitrogen application recommendations.

Methods and Results: The experiment was carried out in randomized plot design with three replications in six different locations under Mardin province ecological conditions in Turkey. Data from four bands of PlanetScope and five bands of RapidEye satellites were used in the study. The correlation between leaf nitrogen content and reflectance of satellite bands was determined and regression (leaf nitrogen content-reflectance) and reverse regression (reflectance-leaf nitrogen content) analyses were performed. Significant correlation were found between leaf nitrogen content and RE_Blue (r=-0.58**), RE_Green (r=-0.46**), RE_Red (r=-0.67**), PS_Blue (r=-0.54**), PS_Green (r=-0.43**), PS_Red (r=-0.42**).

Conclusions: It is recommended to use RE_Blue, RE_Green, RE_Red, PS_Blue, PS_Green, PS_Red satellite bands for the estimation of cotton leaf nitrogen content.

Significance and Impact of the Study: This study is of great importance in order to determine the need for nitrogen fertilizer usage in large cotton production areas. The study is important in terms of widespread impact and rapid results in large cotton production areas, especially considering the growing cotton cultivation areas in the GAP (South East Anatolia Project) region for optimum nitrogen fertilization in cotton production.

Keywords

Cotton, nitrogen, satellite images, remote sensing, RapidEye, PlanetScope

Project Number

Ziraat.18.022

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