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Computational Ecology and Software, 2022, 12(3): 141-153
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Article

Estimation of carbon stock using ground inventory and remote sensing imagery in the case of Tiru-Selam Forest, North-western Ethiopia

E. Gezahegn Gashu, M. Adamsew Marelign
Department of Natural Resource Management, College of Agriculture and Environmental Science, University of Gondar, Gondar, Ethiopia

Received 13 April 2022;Accepted 20 May 2022;Published online 1 June 2022; Published 1 September 2022
IAEES

Abstract
Tiru-Selam forest is degraded due to human interventions. Several scholars have studied the carbon stock of various forests using combinations of ground inventory and remote sensing imagery without checking the correlation between these two carbon stock assessment methods. Thus, the study was conducted to determine the carbon stock of Tiru-Selam forest and the correlation of carbon stock estimated by ground inventory and remote sensing imagery. The ground inventory data was collected through a systematic random sampling technique from 400 m2 of 72 sample plots, while the remote sensing imagery data was collected from the National Aeronautics and Space Administration (https://ladsweb.modaps.eosdis.nasa.gov). The moderate resolution imaging spectra-radiometer data was acquired with respect to the ground sampling date. Descriptive statistics were used to calculate the maximum, minimum, mean, and standard deviation of carbon stock. A linear regression model was used to estimate the correlation between ground inventory and remote sensing imagery for estimation of carbon stock in Tiru-Selam forest. According to the ground inventory, and the remote sensing imagery, the overall mean above-ground and below-ground carbon stock of the study area was estimated to be 224.6582 and 226.56 t/ha, respectively. The carbon stock estimated by ground inventory had a strong correlation with the normalized difference vegetation index (NDVI) (r=0.742, p<0.05) and the enhanced vegetation index (EVI) (r=0.69, p<0.05). The generated equations such as "Y" or estimated forest carbon stock = 302.2862 (EVI) + 239.8785(NDVI) + 24.11446 and Y = 301.9871 (EVI) + 237.2546 (NDVI) + 21.4254 have been fitted with vegetation indexes at ¦Á<0.05.

Keywords ground inventory;remote sensing imagery;Tiru-Selam Forest;Ethiopia.


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