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

Serkan Kılıçaslan; Remzi Ekinci; Mehmet Cengiz Arslanoğlu

Makale detayları

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

Yazarlar:

Serkan Kılıçaslan | Remzi Ekinci | Mehmet Cengiz Arslanoğlu

Yayıncı:

Igdir University

Ana Başlıklar:

Hassas Tarım Teknolojileri

Dergi:

Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi Vol.15 Issue 3, pp.1133-1148

Belge Tipi:

Makale

Yayın Tarihi:

1/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001356693

pISSN:

2536-4618

Anahtar kelimeler:

Özet:

 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 R20.77-0.79-0.77, 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.

 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 R20.77-0.79-0.77, 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.

 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 R20.77-0.79-0.77, 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.

 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 R20.77-0.79-0.77 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. .

Makale detayları

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

Yazarlar:

Serkan Kılıçaslan | Remzi Ekinci | Mehmet Cengiz Arslanoğlu

Yayıncı:

Igdir University

Ana Başlıklar:

Hassas Tarım Teknolojileri

Dergi:

Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi Vol.15 Issue 3, pp.1133-1148

Belge Tipi:

Makale

Yayın Tarihi:

1/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001356693

pISSN:

2536-4618

Leaf Area Index

Vegetation Indices

Cotton

Sentinel-2

Google Earth EngineYaprak Alan İndeksi

Vejetasyon İndeksleri

Pamuk

Sentinel-2

Sayı

Makale detayları

Yazarlar: Serkan Kılıçaslan | Remzi Ekinci | Mehmet Cengiz Arslanoğlu

Yayıncı: Igdir University

Ana Başlıklar: Hassas Tarım Teknolojileri

Dergi: Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi Vol.15 Issue 3, pp.1133-1148

Belge Tipi: Makale

Yayın Tarihi: 1/2025

Belge Dili: İngilizce

Document ID (Org No.): 2001356693

pISSN: 2536-4618

Sayı

Yazarlar:

Serkan Kılıçaslan | Remzi Ekinci | Mehmet Cengiz Arslanoğlu

Yayıncı:

Igdir University

Ana Başlıklar:

Hassas Tarım Teknolojileri

Dergi:

Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi Vol.15 Issue 3, pp.1133-1148

Belge Tipi:

Makale

Yayın Tarihi:

1/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001356693

pISSN:

2536-4618