Hanan Khnaiseh *(1) , Ilene Mahfoud (1) and Ali Thabeet (2)
(1). Department of Forestry and Ecology, Faculty of Agriculture Engineering, Tishreen University, Lattakia, Syria.
(2). Departement of renewable natural resources and ecology, Faculty of Agriculture Engineering, Aleppo University, Aleppo, Syria.
(*Corresponding author: Hanan Khnaiseh, E-Mail: hanankhnaiseh@gmail.com).
Received: 30/09/2023 Accepted: 24/12/2023
Abstract:
Pinus brutia Ten. in Kfardabil afforestation site in the Jableh region, based on the Spectral Vegetation Indices calculated from satellite images. The study was carried out in the summer of 2019, 20 square samples were taken with an area of 3600 square meters each distributed randomly over the entire site, which has an area of 114 hectares. The diameter (dbh) for all trees in the studied samples were measured. Also, Ten trees (covering all diameters classes) were cut and weighed in order to estimate their biomass, and then their measurements were used to form the mathematical power model to estimate the biomass based on the diameter at the sample level. A set of spectral vegetation indices were calculated in order to study their association with biomass, namely NDVI, RDVI, LCI, NDMI, OSAVI and NDRE. These indices were calculated from the Sentinel-2 image using Arc Gis 10.3 software, and then linear models were designed that allow estimating of the biomass based on the values of those spectral vegetation indices. The study concluded that there is a strong correlation between the NDVI and OSAVI indices with biomass, while the linear model based on the NDMI index could not accurately represent the biomass.
Key words: Brutia pine (Pinus brutia), Mathematical Model, Above-ground Biomass, Spectral Vegetation Indices, Kfardabeel afforestation site.
Full Paper in Arabic: pdf