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Journals / Türkiye Uzaktan Algılama Dergisi / 2024 / Volume: 6 Issue: 2

Use of Hyperspectral Data for Chlorophyll Estimation Based on Leaf Area Index (LAI) in Wheat

Buğdayda Yaprak Alanı İndekslerine (LAI) Dayalı Klorofil Tahmini İçin Çok Bantlı (Hiperspektral) Verilerin Kullanımı

Metin Aydoğdu(TARIMSAL ARAŞTIRMALAR VE POLİTİKALAR GENEL MÜDÜRLÜĞÜ TOPRAK GÜBRE VE SU KAYNAKLARI MERKEZ ARAŞTIRMA ENSTİTÜSÜ MÜDÜRLÜĞÜ)0000-0001-6920-1976
Hakan Yıldız(Toprak Gübre ve Su Kaynakları Merkez Araştırma Enstitüsü Müdürlüğü)0000-0002-7627-7503
Pages
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Publication Date
2024-12-30
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

This was followed by NDVI670 (LAI=1.904,0.703), NDVI550 (LAI=1.904,0.651) and LCCI (LAI=1.904,0.448).

📌 3 Key Takeaways

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Objective & Hypothesis:Spectral Indices are frequently used in the estimation of green parts of plants, usually developed to reduce the spectral effects of external factors such as atmosphere and soil.
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Key Findings & Data:Spectral reflectance values obtained for different phenological periods were correlated with SPAD (Minolta-502) values and Partial Least Square (PLS) model was used to calculate the prominent hyperspectral indices and their optimal band combinations.
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Conclusion & Impact:This was followed by NDVI670 (LAI=1.904,0.703), NDVI550 (LAI=1.904,0.651) and LCCI (LAI=1.904,0.448).
🔬Design:Modeling & Simulation
📍Scope:2013-2014 Verileri
⚙️Variables:Wheat · Hyperspectral data · indice

Abstract

Spectral Indices are frequently used in the estimation of green parts of plants, usually developed to reduce the spectral effects of external factors such as atmosphere and soil. The aim of this study was to evaluate the ability of different spectral indices to estimate chlorophyll in wheat according to phenological developmental stages and to calculate their optimal band combinations. In this study, chlorophyll-pigment related indices primarily used in chlorophyll estimation, as well as structural and red edge indices were used. Spectral reflectance values obtained for different phenological periods were correlated with SPAD (Minolta-502) values and Partial Least Square (PLS) model was used to calculate the prominent hyperspectral indices and their optimal band combinations. In this study, the responses and sensitivities of different spectral indices for chlorophyll estimation against LAI change in phenological periods were investigated. As a result, the indices that were least and most affected by saturation changes were revealed. Thus, the power of the indices to predict the chlorophyll content of the canopy was demonstrated. In chlorophyll estimation, NDVI (705,750) was the least affected by the saturation change due to the increasing LAI value in the early period and showed a high correlation (LAI= 2.63, R²= 0.554). This was followed by Red Edge (740-720), (LAI= 2.63,1.722), NDVI (550,780), (LAI= 2.63,0.733), SRPI (430,680) (LAI= 2.63,0.661), LCCI (705,750) (LAI= 2.63,0.554), and NPCI (430,680) (LAI= 2.63, 0.203). These indices, which showed high correlation in the early period, were in the range of R2=0.836-0.761. In Haymana in the late period between 2013-2014 (26 May,04-12-24 June 2014) LAI values vary between 0.63-3.38 and correlation values are between R2 =0.892-0.862. MSR (705,750) was the least affected by the saturation change due to the increasing LAI value in the late period and showed high correlation (LAI=1.904, 0.906). This was followed by NDVI670 (LAI=1.904,0.703), NDVI550 (LAI=1.904,0.651) and LCCI (LAI=1.904,0.448).

Özet

Spektral indeksler bitkide yeşil kısmın tahmin edilmesinde sıkça kullanılmaktadır. Bunlar genellikle atmosfer ve toprak gibi harici faktörlerin spektral etkilerini azaltmak için geliştirilmiştir. Bu çalışmanın amacı buğday’da fenolojik gelişim evrelerine göre farklı spektral indekslerin klorofil tahmin edebilme yeteneğini ortaya koymak ve bu indekslerin optimal band kombinasyonlarını hesaplamaktır. Çalışmada öncelikli olarak klorofil tahmininde kullanılan klorofl-pigment ilişkili indeksler ve bunun yanısıra strüktürel ve kırmızı kenar (Red Edge) indeksler kullanılmıştır. Farklı fenolojik dönemler için elde edilen spektral yansıma değerleri SPAD (Minolta-502) değerleri ile korelasyona tabi tutulmuş, öne çıkan hiperspektral indeksleri ve onların optimal band kombinasyonlarını hesaplamak için ise “En Küçük Kısmi Kareler toplamı” (PLS) modeli kullanılmıştır. Bu çalışmada, farklı Spektral İndekslerin klorofil tahmininde fenolojik dönemlerdeki LAI değişimine karşın, tepkileri ve hassasiyetleri incelenmiştir. Sonuçta saturasyon değişiminden en az ve fazla etkilenen indeksler ortaya çıkartılmıştır. Böylece indekslerin kanopinin klorofil kapsamını tahmin etme gücü ortaya konmuştur. Klorofil tahmininde erken dönemde artan LAI değerine bağlı olarak, saturasyon değişiminden en az etkilenen ve yüksek korelasyon gösteren indeks NDVI (705,750) ‘dir (LAI= 2.63, R²= 0.554). Bunu sırasıyla Red Edge (740-720), (LAI= 2.63,1.722), NDVI (550,780), (LAI= 2.63,0.733), SRPI (430,680) (LAI= 2.63,0.661), LCCI (705,750) (LAI= 2.63, 0.554) ve NPCI (430,680) (LAI= 2.63, 0.203) takip etmiştir. Erken dönemde yüksek korelasyon gösteren bu indeksler R2=0.836-0.761 korelasyon aralığında yer almıştır. Haymana 2013-2014 yılları arasında geç dönemde (26 Mayıs,04-12-24 Haziran 2014) LAI değerleri 0.63-3.38 arasında değişmekte korelasyon değerleri ise R2 =0.892-0.862 arasında yer almaktadır. Geç dönemde artan LAI değerine bağlı olarak saturasyon değişiminden en az etkilenen ve yüksek korelasyon gösteren indeks MSR(705,750)‘dir. (LAI=1.904, 0.906). Bunu sırasiyle NDVI670 (LAI=1.904,0.703), NDVI550 (LAI=1.904, 0.651) ve LCCI(705,750) (LAI=1.904, 0.448) takip etmiştir.

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Cite This Article

Aydoğdu, M., Yıldız, H. (2024). Use of Hyperspectral Data for Chlorophyll Estimation Based on Leaf Area Index (LAI) in Wheat. Türkiye Uzaktan Algılama Dergisi, Volume: 6 Issue: 2. https://doi.org/10.51489/tuzal.1555934

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