Ratio-based vegetation indices for biomass estimation depending on grassland characteristics

Ahmet KARAKOÇ; Murat KARABULUT

Makale detayları

Ratio-based vegetation indices for biomass estimation depending on grassland characteristics

Yazarlar:

Ahmet KARAKOÇ | Murat KARABULUT

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Botany 2019 Vol.43 Issue 5, pp.619-633

Belge Tipi:

Makale

Yayın Tarihi:

9/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000814775

Sıklık:

İki Aylık

eISSN:

1303-6106

pISSN:

1300-008X

Özet:

 

Aboveground biomass (AGB) is one of the key indicators of aboveground net primary productivity (ANPP). The aim of this study is to demonstrate the potential of hyperspectral remote sensing techniques to predict AGB in grasslands. In order to reach this goal, biomass properties with different ecological features and altitudes of 550 m, 1200 m, and 1400 m above sea level were investigated. Twenty-one biomass samples and hyperspectral measurements were collected from each region and a total of 63 samples were analyzed. Linear  and  nonlinear  regression  models  were  generated  to  analyze  the  relationships  between  biomass  and  hyperspectral  vegetation  indices (VIs). The results showed strong relationships between VIs and biomass variations. However, dense biomass samples indicated weaker  relationships  with  VIs  due  to  saturation  phenomena.  Findings  based  on  the  measured  data  showed  that  AGB  (except  dense  biomass) can be estimated with high accuracy using hyperspectral vegetation indices.

Makale detayları

Ratio-based vegetation indices for biomass estimation depending on grassland characteristics

Yazarlar: Ahmet KARAKOÇ | Murat KARABULUT

Yayıncı: TUBITAK

Dergi: Turkish Journal of Botany 2019 Vol.43 Issue 5, pp.619-633

Belge Tipi: Makale

Yayın Tarihi: 9/2019

Belge Dili: İngilizce

Document ID (Org No.): 2000814775

Sıklık: İki Aylık

eISSN: 1303-6106

pISSN: 1300-008X

Sayı

Yazarlar:

Ahmet KARAKOÇ | Murat KARABULUT

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Botany 2019 Vol.43 Issue 5, pp.619-633

Belge Tipi:

Makale

Yayın Tarihi:

9/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000814775

Sıklık:

İki Aylık

eISSN:

1303-6106

pISSN:

1300-008X