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Vol.4 , No. 1, Publication Date: Jan. 18, 2018, Page: 21-31
 Estimation of Planted and Natural Zones Based on Remote Sensing&description=In the field of remote sensing, an important index likewise vegetation fractional coverage (VFC) is widely used to monitor condition of the all plant communities that cover the Earth's surface. This paper selected two phase of remote sensing data calculation such as normalized difference vegetation index (which extracted from cloud-free Modis NDVI) to derive vegetation fractional coverage, And compounded night light index (CNLI) from meteorological satellite program/operational line-scan system (DMSP/OLS) to measure human activity with more clarity. VFC were classified in four levels and spatial patterns of VFC changes were accordingly derived with different coverage at a research period of 16 years (2000-2015). Finally this process led to forecast time series analysis of VFC. Another calculation has been made clear that the driving factors of VFC dynamics were considered to various factors such as human activities, environmental and climatic factors, etc. The correlation coefficient confirmed the relationship between urbanization indexes (CNLI), population, environmental and climatic factors which is linked to VFC. Finally, driving factors of VFC dynamics have been influenced by climatic factors likewise rainfall (mm) and temperature (°C), although the impact of human factors has been impressive.&picture=http://www.aascit.org/aascit/decorators/img/journal/897.jpg)
| [1] | Seyed Omid Reza Shobairi, Department of Forest and Environmental Sciences, Ural State Forest Engineering University, Yekaterinburg, Russian Federation. |
| [2] | Vladimir Andreevich Usoltsev, Department of Forest and Environmental Sciences, Ural State Forest Engineering University, Yekaterinburg, Russian Federation; Ekaterinburg Botanic Garden, Yekaterinburg, Russian Federation. |
| [3] | Viktor Petrovich Chasovskikh, Department of Forest and Environmental Sciences, Ural State Forest Engineering University, Yekaterinburg, Russian Federation. |
In the field of remote sensing, an important index likewise vegetation fractional coverage (VFC) is widely used to monitor condition of the all plant communities that cover the Earth's surface. This paper selected two phase of remote sensing data calculation such as normalized difference vegetation index (which extracted from cloud-free Modis NDVI) to derive vegetation fractional coverage, And compounded night light index (CNLI) from meteorological satellite program/operational line-scan system (DMSP/OLS) to measure human activity with more clarity. VFC were classified in four levels and spatial patterns of VFC changes were accordingly derived with different coverage at a research period of 16 years (2000-2015). Finally this process led to forecast time series analysis of VFC. Another calculation has been made clear that the driving factors of VFC dynamics were considered to various factors such as human activities, environmental and climatic factors, etc. The correlation coefficient confirmed the relationship between urbanization indexes (CNLI), population, environmental and climatic factors which is linked to VFC. Finally, driving factors of VFC dynamics have been influenced by climatic factors likewise rainfall (mm) and temperature (°C), although the impact of human factors has been impressive.
Keywords
Vegetation Fractional Coverage, NDVI, Spatial-Temporal Dynamics, Driving Factors
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