PDF Download

[1]JING Juanli,WANG Yongfeng.Spatial and Temporal Variation of NDVI and Its Relations with Climate Factors in the Southwest Karst Area[J].Research of Soil and Water Conservation,2016,23(05):169-174.

Copy

Spatial and Temporal Variation of NDVI and Its Relations with Climate Factors in the Southwest Karst Area

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 23 Number of periods: 2016 05 Page number: 169-174 Column: Public date: 2016-10-28

Title:: Spatial and Temporal Variation of NDVI and Its Relations with Climate Factors in the Southwest Karst Area

Author(s):: JING Juanli^1,2, WANG Yongfeng^1,2; 1. College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, Guangxi 541004, China;
2. Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin, Guangxi 541004, China

Keywords:: southwest karst area; NDVI; climate factor; correlation analysis

CLC:: TP79;P463.2

DOI:: -

Abstract:: The spatial and temporal variation of NDVI and its relationship with climate factors in the southwest karst area of China during the period from 1998 to 2012 have been examined based on SPOT NDVI data and temperature/precipitation data from meteorological stations by using linear regression and correlation analysis. The results showed that: (1) during the past 15 years, NDVI overall increased significantly and with the growth rate of 0.052 per decade, maximum NDVI appeared in September and minimum in February, areas with NDVI increase accounted for 97.13% and about 17.60% of area increased significantly (p < 0.05), the degraded areas accounted for 2.87% and with 0.35% passing p < 0.05 significance test; (2) at the annual scale, correlations between NDVI and temperature/precipitation had the distinct spatial difference in the southwest karst area of China, the correlation of NDVI with temperature was positive in 42.75% of the total area, and negative in the rest area, while its correlation with precipitation was positive in 20.15% of the study area, and negative for the rest area, above analysis indicated that temperature affected growth more significantly than precipitation; (3) the correlations between NDVI and temperature/precipitation at the monthly scale were higher than the annual scale, the area with positive correlation between NDVI and temperature accounted for 91.62% of the total area, and area with significant positive correlation (p < 0.05) accounted for 75.94% of the total area; 94.29% of NDVI was positively related with month precipitation, and significantly positive correlation (p < 0.05) accounted for about 51.05%. The statistics reflected that the vegetation growth was mainly affected by the seasonal variation of hydro-thermal factors. NDVI was significantly affected by the preceding one month’s temperature and the preceding two months’ precipitation, and there was obvious lag-effect.

References:: [1] 孙红雨,李兵.中国地表植被覆盖变化及其与气候因子关系[J].遥感学报,1998,2(3):204-210.
[2] 甘春英,王兮之,李保生,等.连江流域近18年来植被覆盖度变化分析[J].地理科学,2011,31(8):1019-1024.
[3] 严恩萍,林辉,党永峰,等.2000-2012年京津风沙源治理区植被覆盖时空演变特征[J].生态学报,2014,34(17):5007-5020.
[4] 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.
[5] 赵志平,邵全琴,黄麟.2008年南方特大冰雪冻害对森林损毁的NDVI响应分析:以江西省中部山区林地为例[J].地球信息科学学报,2012,11(4):535-540.
[6] Myneni R B, Tucker C J, Asrar G, et al. Interannual variations in satellite-sensed vegetation index data from 1981 to 1991[J]. Journal of Geophysical Research:Atmospheres, 1998,103(D6):6145-6160.
[7] 方精云,朴世龙,贺金生,等.近20年来中国植被活动在增强[J].中国科学:C辑,2003,33(6):554-565.
[8] Eklundh L. Estimating relations between AVHRR NDVI and rainfall in East Africa at 10-day and monthly time scales[J]. International Journal of Remote Sensing, 1998,19(3):563-570.
[9] 龚道溢,史培军,何学兆.北半球春季植被NDVI对温度变化响应的区域差异[J].地理学报,2002,57(5):505-514.
[10] 李晓兵,史培军.中国典型植被类型NDVI动态变化与气湿,降水变化的敏感性分析[J].植物生态学报,2000,24(3):379-382.
[11] 冯敏,孙艳玲,刘斌,等.华北地区植被NDVI与不同气候指标的相关分析[J].水土保持通报,2014,34(1):246-251.
[12] 蒲蕾,任志远.陕西省不同地区NDVI变化与气候因子的关系及响应研究[J].水土保持通报,2013,33(2):265-270.
[13] 蒙吉军,王钧.20世纪80年代以来西南喀斯特地区植被变化对气候变化的响应[J].地理研究,2007,26(5):857-866.
[14] 张勇荣,周忠发,马士彬,等.基于NDVI的喀斯特地区植被对气候变化的响应研究:以贵州省六盘水市为例[J].水土保持通报,2014,34(4):114-117.
[15] 李阳兵,侯建筠,谢德体.中国西南岩溶生态研究进展[J].地理科学,2002,22(3):365-370.
[16] 张殿发,王世杰.西南喀斯特地区的开发潜力、制约因素及其战略措施[J].农村生态环境,2001,17(3):9-12.
[17] 杜灵通,李国旗.利用SPOT数据进行干旱监测的应用研究[J].水土保持通报,2008,28(2):153-156.
[18] Stow D A, Hope A, McGuire D, et al. Remote sensing of vegetation and land-cover change in Arctic Tundra Ecosystems[J]. Remote Sensing of Environment, 2004,89(3):281-308.
[19] Hope A S, Boynton W L, Stow D A, et al. Interannual growth dynamics of vegetation in the Kuparuk River watershed, Alaska based on the Normalized Difference Vegetation Index[J]. International Journal of Remote Sensing, 2003,24(17):3413-3425.
[20] 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.

Similar References:

Memo

Last Update: 1900-01-01