Research on the Changes of Vegetation Coverage in Turks County Based on NDVI

Abstract:

24 periods of 10-day hierarchy schemes of the vegetation coverage of Turks County within 3 years are obtained through inversion, and annual change and interannual change of the vegetation coverage of Turks County are analyzed. The result demonstrates that the average vegetation coverage of the whole county is about 40%~45% during the returning green period, the peak value of the vegetation coverage appears in the last ten days of July, and the highest vegetation coverage of the three years is as high as 60% or above. During the past 12 years, the vegetation change of Turks County is stable-based that accounts for 39.6% of the total area of the county, the area of grassland slightly recovered equals to that of grassland slightly degraded, and the total of both lands is 39.1% of the whole county while the area of grassland significantly degraded accounts for only 8.7%.

• Periodical: Applied Mechanics and Materials (Volumes 409-410)
• Pages: 788-794
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.409-410.788
• Online since: September 2013
• Authors: Jia Bin Wu, Jieensi Matan, Yong Fu Wei, Ke Zhen Guo, Xi Wang Lian
• Keywords: NDVI, Turks County, Vegetation Changes, Vegetation Coverage

References

[1] Gillies R R, Kustas W P, Humes K S. A Verification of the Triangle, method for obtaining surface soil water content and energy fluxes from remote measurements of the normalized difference vegetation index (NDVI) and surface[J]. Internatiaonal Journal of Remote Sensing. 1997, 18(15) : 3145-3166.

DOI: 10.1080/014311697217026

[2] Qi J, Mardett R C, Moran M S, et al. Spatial and temporal dynamics of vegetation in the San Pedro River basin area [J]. Agricultural and Forest Meteorology. 2000, 105: 55-68.

DOI: 10.1016/s0168-1923(00)00195-7

[3] Stow D, Daeschner S, Hope A, et al. Variability of the seasonally integrated normalized difference vegetation index across the north slope of Alaska in the 1990s[J]. International Journal of Remote Sensing, 2003, 24(5): 1111-1117.

DOI: 10.1080/0143116021000020144

[4] Li Xiaoya, Zhang Bo, Jin zibao. Dynamic monitoring of vegetation coverage change in Hedong area of Gansu based on MODIS-NDVI. Research of Soil and Water Conservation. 2013, 20(1) : 112-115. [In Chinese].

[5] Lunetta R S, Knight J F, Ediriwickrema J, et al. Landcover change detection using multi-temporal MODIS NDVI data[J]. Remote Sensing of Environment, 2006, 105: 142-154.

DOI: 10.1016/j.rse.2006.06.018

[6] Wardlow B D, Egbert S L, Kastens J H . Analysis of time-series MODIS 250 m vegeration index data for crop classification in the U. S. central great plains[J]. Remote Sensing of Environment, 2007, 108: 290-310.

DOI: 10.1016/j.rse.2006.11.021

[7] Gitelson A A, Kaufman Y J, Stark R, et al. Novel algorithms for remote estimation of vegetation fraction. Remote Sensing of Environment, 2002; 80(1): 76-87.

DOI: 10.1016/s0034-4257(01)00289-9

[8] Zhao Jun, Wang Xiaomin, Li Dongcheng. Quantitative analysis on the vegetation coverage changes of Minqin oasis based on MODIS. Journal of Arid Land Resources and Environment. 2012, 26(10): 91-96. [In Chinese].

[9] Purevdor J T S, Tateishama T, et al. Relationships between percent vegetation indices [J]. International Journal of Remote Sensing, 1998, 18: 3519-3535.

DOI: 10.1080/014311698213795

[10] Zhao Qun, Liu Yun . Research on the changes of vegetation covering in Taiyuan basin, Chian[J]. Journal of Beijing University of Agriculture, 2007, 22(1): 68-71. [In Chinese].

[11] Bao Gang, Bao Yuhai, Qin Zhihao, Zhou Yi, et al. Vegetation cover changes in Mongolian plateauand its response to seasonal climate changes in recent 10 years. Scientia Geographica Sinica, 2013, 33(5): 613-621.

[12] Zhao Guohua, Zeng Guoqiang, Habulihazi, et al. Strategy of mountain grassland operating zoning and utilize in Turks county. Herbivore. 2011, 1: 74-76. [In Chinese].