Investigation of the Use of Some Satellite Indices in Monitoring Leaf Area Index in Cotton Plants

Yıl 2025, Cilt: 15 Sayı: 3, 1133 - 1148, 01.09.2025

Serkan Kılıçaslan , Remzi Ekinci , Mehmet Cengiz Arslanoğlu

https://doi.org/10.21597/jist.1549664

Öz

Leaf Area Index (LAI) is accepted as one of the basic indicators of plant development. Direct LAI estimation methods require intensive labor and time. This work; In order to realize the LAI estimation without damage, in a shorter time and with less labor-intensive effort, it was made on a total of 27 parcels where cotton cultivation is carried out in 8 villages in Artuklu and Kızıltepe districts of Mardin province. In the study, the relationships between terrestrial LAI observation and ARVI, GARI, EVI2, NDVI, WDRVI, MSI, NBR, NDMI, MTVI2, SIPI, OSAVI, SAVI indices derived from Sentinel-2 satellite data were examined. All indices were found significant at the 0.01 level. ARVI and GARI having atmospheric correction effect (R2 =0.77-0.76, respectively), basic indices EVI2, NDVI and WDRVI (R2 =0.74-0.74-0.75, respectively), MSI, NBR and NDMI with plant moisture content sensitivity (R2=0.77-0.79-0.77, respectively) showed high relationships. In addition, pigment sensitivity MTVI2 and SIPI (R2 =0.73-0.74), OSAVI and SAVI designed against background soil effect (R2 =0.74-0.74) showed high relation. It is recommended that these indices be used as a good LAI estimator in cotton plant.

Anahtar Kelimeler

Leaf Area Index , Vegetation Indices , Cotton , Sentinel-2 , Google Earth Engine

Destekleyen Kurum

Dicle University Scientific Research Projects Coordination Unit

Proje Numarası

FBE.21.009

Teşekkür

This study was produced from the PhD thesis titled "Investigation of the Possibilities of Using Satellite Images in Detecting Plant-Water Relationship in Cotton (G. hirsutum L.)" conducted by Serkan KILIÇASLAN in the Field Crops department of Dicle University, Institute of Science and Technology. This study was supported by Dicle University Scientific Research Projects Coordination Unit with project number FBE.21.009. We would like to thank the Scientific Research Coordination Unit for their support.

Pamuk Bitkisinde Yaprak Alan İndeksinin İzlenmesinde Bazı Uydu İndekslerinin Kullanımının Araştırılması

Öz

Yaprak Alan İndeksi (LAI) bitki gelişiminin temel göstergelerinden kabul edilmektedir. Doğrudan LAI tahmin yöntemleri yoğun emek ve zaman gerektirmektedir. Bu çalışma; LAI tahminini, hasarsız, daha kısa zamanda ve daha az yoğun emek harcayarak gerçekleştirebilmek amacıyla; Mardin ili Artuklu ve Kızıltepe ilçelerine bağlı 8 köyde, pamuk tarımı yapılan toplam 27 adet parselde yapılmıştır. Çalışmada, yersel LAI gözlemi ile Sentinel-2 uydu verilerinden türetilen ARVI, GARI, EVI2, NDVI, WDRVI, MSI, NBR, NDMI, MTVI2, SIPI, OSAVI, SAVI indisleri arasındaki ilişkiler incelenmiştir. Tüm indisler 0.01 düzeyinde önemli bulunmuştur. Atmosferik düzeltme etkisine sahip ARVI ve GARI (sırasıyla R2 =0.77-0.76), temel indislerden EVI2, NDVI ve WDRVI (sırasıyla R2 =0.74-0.74-0.75), bitki nem içeriği hassasiyetli MSI, NBR ve NDMI (sırasıyla R2=0.77-0.79-0.77) yüksek ilişki göstermişlerdir. Ayrıca pigment hassasiyetli MTVI2 ve SIPI (R2 =0.73-0.74), arka plan toprak etkisine karşı tasarlanan OSAVI ve SAVI (R2 =0.74-0.74) yüksek ilişki göstermişlerdir. İncelenen bu indislerin pamuk bitkisinde iyi bir LAI tahmin edicisi olarak kullanılması tavsiye edilmektedir. .

Anahtar Kelimeler

Yaprak Alan İndeksi , Vejetasyon İndeksleri , Pamuk , Sentinel-2

Proje Numarası

FBE.21.009

Kaynakça

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