Application of GIMMS and MODIS to Vegetation Monitoring in the Loess Plateau

SHAO Xiao-yi, LI Qi-hu, WANG Shu-min

Journal of Changjiang River Scientific Research Institute ›› 2017, Vol. 34 ›› Issue (5) : 141-145.

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Journal of Changjiang River Scientific Research Institute ›› 2017, Vol. 34 ›› Issue (5) : 141-145. DOI: 10.11988/ckyyb.20160208
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Application of GIMMS and MODIS to Vegetation Monitoring in the Loess Plateau

  • SHAO Xiao-yi1, LI Qi-hu2, WANG Shu-min1
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Abstract

Loess Plateau is featured with fragile ecological environment. Affected by monsoon climate, it has obvious distinction among four seasons and apparent vegetation changes, which offer a good testing ground for researching the consistency of different remote sensing data. According to the Normalized Difference Vegetation Index (NDVI) derived from GIMMS in 2001-2006 and from MODIS in 2001-2014, we analyzed the variations of vegetation in the loess plateau. And furthermore we investigated the differences between the two data in aspects of spatial distribution, seasonal and annual variations of vegetation in the loess plateau of Shaanxi Province. Results suggest that data obtained by the two methods both reflect the scarce coverage in the northwest and good coverage in the southeast of the loess plateau. What’s more, MODIS data is sensitive to the variation of vegetation differences. In terms of the trend, vegetation index increased year by year, and the most rapid increment was in autumn, indicating that the vegetation restoration work in recent years has achieved remarkable result. Compared with GIMMS, MODIS is more suitable for reflecting the spatial distribution of vegetation cover in the loess plateau.

Key words

NDVI / loess plateau / GIMMS / MODIS / coefficient of correlation / comparative analysis of time series data

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SHAO Xiao-yi, LI Qi-hu, WANG Shu-min. Application of GIMMS and MODIS to Vegetation Monitoring in the Loess Plateau[J]. Journal of Changjiang River Scientific Research Institute. 2017, 34(5): 141-145 https://doi.org/10.11988/ckyyb.20160208

References

[1] 陈述彭.遥感大辞典[M].北京:科学出版社,1990.
[2] 马明国,王 建,王雪梅.基于遥感的植被年际变化及其与气候关系研究进展[J].遥感学报,2006,10(3): 421-431.
[3] 朱 源,彭光雄,王 志,等.西藏林芝地区近30a来的NDVI变化趋势研究[J].西北林学院学报,2011,26(4):69-74.
[4] BROWN M E, PINZON J E,DIDAN K, et al. Evaluation of the Consistency of Long-term NDVI Time Series Derived from AVHRR, SPOT-Vegetation, SeaWiFS, MODIS and Landsat ETM+ Sensors[J]. Geoscience and Remote Sensing, 2006, 44(7):1787-1793.
[5] 张晓克, 鲁旭阳, 王小丹.2000—2010年藏北申扎县植被NDVI时空变化与气候因子的关系[J].山地学报, 2014, 32(4):476-479.
[6] 杜加强,舒俭民,王跃辉,等.青藏高原MODIS NDVI与GIMMS NDVI的对比[J].应用生态学报,2014, 25(2):533-544.
[7] 韩 鹏,姚 娟,李天宏,等.3种不同数据源NDVI的比较分析及其在延河流域的应用研究[J].应用基础与工程科学学报,2014,22(4):661-674.
[8] 任子涵.AVHRR NDVI和MODIS NDVI一致性评估[J].地理空间信息,2014, 12(3):125-128.
[9] 沙 莎, 郭 铌, 李耀辉, 等.3套NDVI长时间序列植被指数的对比——以玛曲为例[J].干旱气象,2013, 31(4):657-665.
[10] 宋富强,康慕谊,杨 朋,等.陕北地区GIMMS、SPOT-VGT和MODIS归一化植被指数的差异分析[J].北京林业大学学报,2010, 32(4):72-80.
[11] 伍光和,王乃昂,胡双雄.自然地理学[M].北京:高等教育出版社,2000.
[12] 孙 华,白红英,张清雨,等.基于SPOT VEGETATION的秦岭南坡近10年来植被覆盖变化及其对温度的响应[J].环境科学学报,2010,30(3):649-654.
[13] 刘良明,梁益同,景毅刚,等, MODIS与AVHRR植被指数关系的研究[J].武汉大学学报,2004, 29(1):307-310.
[14] 李 喆, 赵登忠, 向大享, 等.宽频段遥感植被指数研究进展综述[J].长江科学院院报,2015, 32(1):125-130.
[15] 张雪艳, 胡云锋, 庄大方, 等.蒙古高原NDVI的空间格局及空间分异[J].地理研究,2009, 28(1):10-18.
[16] BAO Ya-jing, SONG Guo-bao, LI Zheng-hai, et al .Study on the Spatial Differences and Its Time Lag Effect of Climatic Factors of the Vegetation in the Longitudinal Range-Gorge Region[J]. Chinese Science Bulletin,2007,52(2):42-49.
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