Journal Paper

Paper Information

Journal: مرتع
Year:1397 | Volume:12 | Issue:2
Start Page:169 | End Page:178

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Title

Comparing the accuracy of different vegetation cover sampling methods in remote sensing indices (Case Study: Abbas Abad Hamedan)

Pages

 Start Page 169 | End Page 178

Abstract

 Satellite images and calculated vegetation indices can be used to increase the accuracy of Vegetation cover percentage mapping and reduce the time of sampling. This study was conducted to compare the results of line transect, quadrat and step-point methods with Remote sensing indices in Abbas Abad (Tarikdarreh) rangelands in Hamedan province. Landsat OLI images of the study area dated on 3rd May 2015 were processed. Different vegetation indices such as NDVI, SAVI, TNDVI, RVI, SQRT, and DVI were calculated using red and near-infrared bands in five vegetation types. Vegetation cover percentage was measured using three sampling methods including line transect, quadrat, and step-point. The correlations of the ground data and Remote sensing vegetation indices were measured using correlation and regression techniques. NDVI values were used to produce regression models for predicting Vegetation cover percentage of the three different sampling methods because this index had higher correlation with ground data. In the next step, Vegetation cover percentage maps were produced. The accuracy of the maps was calculated using the kappa coefficient. Results indicated that the accuracy of the maps created based on field data of the transect method was 90% and higher than the two other methods. Additionally, the percentage cover of the five vegetation types had a higher correlation with NDVI in the transect method compard to quadrat and step-point methods.

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