Dynamic Modelling of VFC from 2000 to 2010 Using NDVI and DMSP/OLS Time Series: A Study in Guangdong Province, China
- 1 Department of Forest Management, College of Forestry, Nanjing Forestry University, Nanjing, China
- 2 Department of Forest Management, College of Forestry, Nanjing Forestry University, Nanjing, China
Abstract
Forest cover change is considered one of the serious issues in the last several decades for the global environment. This scenario has mainly depended to ever-increasing socio-economic activities. The present article has revealed major changes of VFC in relation to human activities during the years of 2000 to 2010 in the Guangdong province of China. The data derived using the NDVIimages. The analysis covered the growing season which consisted of seven months (April to October) annually. VFC (Vegetation Fractional Cover) was successfully calculated from NDVI images and VFC levels were defined in four levels. Levels IV and I had the highest and lowest annual changes. Areas at risk of desertification and difference coverage were determined by Hot Spot and Cold Spot analyzing. Mean of total VFC was evaluated 0.783 and Moran’s I statistic calculated for years separately. Additionally, Light Index achieved of DMSP/OLS data annually. The results show that VFC and Light Index have an upward trend, which means that development of social economy leads to increasing awareness of the importance of environmental protection and sustainable development. Hereof, we witness seven-year increase of VFC during the eleven years. The correlation co-efficient shows that Light Index is suitable index for evaluating diving forces. Time series modeling confirms that there is strong inverse relationship between the VFC and Light Index in most cases. This means with increasing Light Index, VFC decreases. Finally, driving forces of VFC variation show that forest cover change scenario is more under the influence of the human activities.
- Pahari, K. and Murai, Sh. (1999) Modelling of Prediction of Global Deforestation Based on the Growth of human Population. Journal of Photogrammetry and Remote Sensing, 54, 317-324. http://dx.doi.org/10.1016/S0924-2716(99)00032-5
- Chand, T.R.K., Badarinath, K.V.S. and Prasad, V.K. (2006) Monitoring Forest Fires over the Indian Region Using Defence Meteorological Satellite Program-Operational Linescan System Nighttime Satellite Data. Remote Sensing of Environment, 103,165-178. http://dx.doi.org/10.1016/j.rse.2006.03.010
- Potapov, P.V., Turubanova, S.A., Tyukavina, A., et al. (2015) Eastern Europe’s Forest Cover Dynamic from 1985 to 2012 Quantified from the Full Landsat Archive. Remote Sensing of Environment, 159, 28-43. http://dx.doi.org/10.1016/j.rse.2014.11.027
- Hyung, K.D., Sexton, J.O., Noojipady, P., et al. (2014) Global, Landsat-Based Forest-Cover Change from 1990 to 2000. Remote Sensing of Environment, 155, 178-193. http://dx.doi.org/10.1016/j.rse.2014.08.017
- Burgess, R., Hansen, M., Olken, B.A., Potapov, P. and Sieber, S. (2012) The Political Economy by Multi-Temporal Classification across the Landsat-5 Record. Remote Sensing of Environment, 128, 246-258.
- Sexton, J.O., Urban, D.L., Donohue, M.J. and Song, C. (2013) Long-Term land Cover Dynamics of Deforestation in the Tropics. Quarterly Journal of Economics, 127, 1707-1754.
- Moderate Resolution Imaging Spectroradiometer. http://modis.gsfc.nasa.gov/
- Zhang, F., Tiyip, T., Ding, J.L., et al. (2013) Vegetation Fractional Coverage Change in a Typical Oasis Region in Tarim River Watershed Based on Remote Sensing. Journal of Arid Land, 5, 89-101. http://dx.doi.org/10.1007/s40333-013-0145-3
- Liu, J., Yin, S., Zhang, G.S., et al. (2009) Dynamic Change of Vegetationcoverage of Mu Us Sandland over the 17 Years by Remote Sensing Monitor. Journal of Arid Land Resources and Environment, 23, 162-167.
- Ju, W., Zhujun, G., Li, L., et al. (2013) Using Vegetation Indices and Texture Measures to Estimate Vegetation Fractional Coverage (VFC) of Planted and Natural Forests in Nanjing City, China. Advances in Space Research, 51, 1186-1194. http://dx.doi.org/10.1016/j.asr.2012.11.015
- Kharol, Sh.K., Badarinath, K.V.S. and Roy, P.S. (2008) Studies on Emissions from Forest Fires Using Multi-Satellite Datasets over North East Region of India. The International Archives of the Society for Photogrammetry and Remote Sensing. ISPRS Archives—Volume XXXVII Part B8.