Application of remote sensing techniques and environmental factors in separating and determining characteristics of vegetation (Case Study: Siahkooh Basin-Yazd)
Journal Title: Journal of Biodiversity and Environmental Sciences (JBES) - Year 2015, Vol 6, Issue 1
Abstract
Considering the capabilities of satellite imagery and Remote Sensing techniques, researchers employ these as a conventional method for exploring deserts and research carried out in arid regions. This study aims to evaluate the application of remote sensing techniques and climatic and geological factors in the separating and determining characteristics of vegetation in arid regions, especially in Siahkooh basin located in the province of Yazd (Iran). At first, in order to detect the vegetation fraction in the study area, 286 plots were sampled in the fieldwork. After applying the necessary preprocessing on the ASTER satellite imagery including the geometric and radiometric corrections, the soil line equation and 13 vegetation indices were calculated. To study the effect of environmental factors on the vegetation fraction, information layers such as geology formations, elevation, slope, aspect, temperature and precipitation were produced and standardized. In order to combine the mentioned layers and investigate the effect of each factor, the backward elimination method was used for training plots. Finally, the accuracy of models was assessed based on the correlation coefficient between measured and estimated values in the test plots. The results of this study showed that MSAVI1 is the most suitable index for estimating vegetation fraction in the case study. Furthermore, the results indicated that climatic and geological factors do not have any significant effect on increasing the accuracy of the models in Siahkooh basin.
Authors and Affiliations
M. hassanzadeh Nafooti, N. Baghestani Meybodi, Z. Ebrahimi Khusfi, M. chabok, M. Ebrahimi Khusfi
Keywords
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