基于SPOT-VGT数据的流域植被覆盖动态变化及空间格局特征——以淮河流域为例

doi:10.11820/dlkxjz.2013.02.013

Abstract

Abstract: To investigate the dynamic changes and spatial patterns of vegetation in the Huaihe River Basin, this study used SPOT-VGT NDVI (Normalized Different Vegetation Index) data and land use/cover data to analyze the spatial-temporal patterns of vegetation change in the region during 1999 to 2007 by using ArcGIS Spatial analysis tools. The results showed that: (1) SPOT-VGT data, combined with GIS Spatial analysis tools and models, can be used in the calculation and analysis of vegetation cover conditions in river basin scale; (2) NDVI maintained an clearly increasing trend in most areas (71.33%) of the Huaihe River Basin during 1999-2007, suggesting that the vegetation coverage was improved in the region in the last decade, which indicated that the measures of vegetation protection and restoration had achieved positive results; (3) Monthly NDVI variations showed a double-peak curve. The two peaks appeared in April and August respectively, and the peak in April was lower than that in August; (4) The average NDVI showed obvious spatial variations. NDVI in the plain areas was higher than that in the mountain areas, and it was higher in the north areas of Huaihe River than in the south areas; NDVI varied greatly in the mountain areas, with the highest average value in the Dabieshan Mountain and the lowest in the Yimengshan Mountain. Areas in and around the cities had lower NDVI due to high density of built-up land. The areas with relatively poor vegetation coverage had high risk of soil erosion. (5) The NDVI changing trends varied among different land use/cover types. The average NDVI values of cropland, woodland, grassland and alkaline land had shown a stable increasing trend during 1999-2007. The average NDVI of flooded plains land showed a slightly increasing trend. The NDVI of marshes fluctuated dramatically. The results of the studies of dynamic changes and spatial patterns of vegetation in the Huaihe River Basin can provide a scientific basis for planning and taking measures to protect watershed forest, and in turn to control soil erosion.

Key words: GIS spatial analysis, NDVI, spatial pattern, SPOT-VGT, the Huaihe River Basin, vegetation dynamics

WANG Qing, LIU Xuehua, LÜ Baolei. Dynamic changes and spatial patterns of vegetation cover in a river basin based on SPOT-VGT data: A case study in the Huaihe River Basin[J].PROGRESS IN GEOGRAPHY, 2013, 32(2): 270-277.

References

[1] Chen X G, Li J P, Li Z J, et al. 2006. Vegetation change in Yanchiof Ningxia and its relationship with climate change inrecent years. Acta Ecologica Sinica, 26(5): 1516-1522.[陈晓光, 李剑萍, 李志军, 等. 2006. 宁夏盐池近年来植被与气候变化分析. 生态学报, 26(5): 1516-1522.]

[2] Dai S P, Zhang B, Wang H J, et al. 2010. Analysis on the spatio-temporal variation of grassland cover using SPOT NDVI in Qilian Mountains. Progress in Geography, 29(9): 1075-1080. [戴声佩, 张勃, 王海军, 等. 2010. 基于SPOT NDVI 的祁连山草地植被覆盖时空变化趋势分析. 地理科学进展, 29(9): 1075-1080.]

[3] Du L T, Li G Q. 2008. Dynamic monitoring of eco-environmentchange over 1999-2006 in Yanchi County, Ningxia Hui Autonomous Region based on SPOT-VGT data. Journalof Beijing Forestry University, 30(5): 46-51. [杜灵通,李国旗. 2008. 基于SPOT-VGT 的宁夏盐池县近8 年生态环境动态监测. 北京林业大学学报, 30(5): 46-51.]

[4] Holben N. 1986. Characteristics of maximum-value compositeimages from temporal AVHRR data. International Journalof Remote Sensing, 7(11): 1417-1434.

[5] Hope A, Boynton W, Stow D, et al. 2003. Inter-annual growthdynamics of vegetation in the Kuparuk River watershedbased on the normalized difference vegetation index. International Journal of Remote Sensing, 24(17):3413-3425.

[6] Lai C J. 2010. Climate risk evaluation for agriculture croppingsystem in Huaihe River Basin [D]. Guangzhou, China: Guangzhou University. [赖纯佳. 2010. 淮河流域农业种植制度的气候风险评估[D]. 广州: 广州大学.]

[7] Li D K, Guo N, He H J. 2007. Vegetation change and its relationshipwith climate in the region along the Great Wallin northern Shaanxi. Acta Ecologica Sinica, 27(11):4620-4629. [李登科, 郭妮, 何慧娟. 2007. 陕北长城沿线风沙区植被指数变化及其与气候的关系. 生态学报, 27(11): 4620-4629.]

[8] Liu J Y, Xu X L, Shao Q Q. 2008. Grassland degradation inthe "Three-River Headwaters" region, Qinghai Province. Acta Geographica Sinica, 63(4): 364-376. [刘纪远, 徐新良, 邵全琴. 2008. 近30 年来青海三江源地区草地退化的时空特征. 地理学报, 63(4): 364-376.]

[9] Liu Y A, Huang B, Cheng T, et al. 2012. Vegetation coveragein upper Huaihe River Basin based on binary pixel modelof remote sensing. Bulletin of Soil and Water Conservation,32(1): 93-97. [刘玉安, 黄波, 程涛, 等. 2012. 基于像元二分模型的淮河上游植被覆盖度遥感研究. 水土保持通报, 32(1): 93-97.]

[10] Qiu H J, Cap M M. 2011. Spatial and temporal variations invegetation cover in China based on SPOT vegetation data. Resources Science, 33(2): 335-340. [邱海军, 曹明明.2011. 基于SPOT VEGETATION 数据的中国植被覆盖时空变化分析. 资源科学, 33(2): 335-340.]

[11] Song D M, Zhang Q, Yang X C, et al. 2011. Spatial and temporalcharacteristics of MODIS vegetation index in thesource region of three rivers on Qinghai-Tibet Plateau in China. Geographical Research, 30(11): 2067-2075. [宋冬梅, 张茜, 杨秀春, 等. 2011. 三江源区MODIS植被指数时空分布特征. 地理研究, 30(11): 2067-2075.]

[12] Song F Q, Xing K X, Liu Y, et al. 2011. Monitoring and assessmentof vegetation variation in northern Shaanxibased on MODIS/NDVI. Acta Ecologica Sinica, 31(2):354-363. [宋富强, 邢开雄, 刘阳, 等. 2011. 基于MODIS/NDVI 的陕北地区植被动态监测与评价. 生态学报, 31(2): 354-363.]

[13] Song Y, Ma M G. 2007. Study on vegetation cover change in Northwest China based on SPOTVEGETATION data. Journal of Desert Research, 27(1): 89-93. [宋怡, 马明国.2007. 基于SPOTVEGETATION 数据的中国西北植被覆盖变化分析. 中国沙漠, 27(1): 89-93.]

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

[15] Stow D, Hope A, McGuire D, et al. 2004. Remote sensing ofvegetation and land-cover change in Arctic Tundra Ecosystems. Remote Sensing of Environment, 89(3):281-308.

[16] Sun Y L, Guo P. 2012. Spatiotemporal variation of vegetationcoverage index in North China during the period from 1982 to 2006. Arid Zone Research, 29(2): 187-193. [孙艳玲, 郭鹏. 2012. 1982-2006 年华北植被指数. 干旱区研究, 29(2): 187-193.]

[17] Wang Z X, Liu C, Huete A. 2003. From AVHRR-NDVI to MODIS-EVI: Advances in vegetation index research. Act Ecological Sinica, 23(5): 9791-987. [ 王正兴, 刘闯, Huete A. 2003. 植被指数研究进展: 从AVHRR-N DVI到MODIS-EVI. 生态学报, 23(5): 980-987.]

[18] Wang Z, Liu S R, Sun P S, et al. 2010. The variability of vegetationbeginning date of greenness period in spring in thenorth-south transect of eastern China based on NOAA NDVI. Spectroscopy and Spectral Analysis, 30(10):2758-2761. [王植, 刘世荣, 孙鹏森, 等. 2010. 基于NOAA NDVI 研究中国东部南北样带植被春季物候变化.光谱学与光谱分析, 30(10): 2758-2761.]

[19] Wu Y F, Li M S, Liu B C, et al. 2008. Changes of Chinese beginningdate of vegetation greenness period based on NOAA NDVI. Progress in Geography, 27(6): 33-40. [ 武永峰, 李茂松, 刘布春, 等. 2008. 基于NOAA NDVI的中国植被绿度始期变化. 地理科学进展, 27(6): 33-40.]

[20] Xu H Q, Zhang T J. 2011. Cross comparison of ASTER and Landsat ETM + multispectral measurements for NDVIand SAVI vegetation indices. Spectroscopy and Spectral Analysis, 31(7): 1902-1907. [徐涵秋, 张铁军. 2011. ASTER与Landsat ETM+植被指数的交互比较. 光谱学与光谱分析, 31(7): l902-1907.]

[21] Xu H. 2011. The Analysis for characters of vegetation coverchange in Yangtze River Basin based on SPOT VEGETATIONdata [D]. Wuhan, China: Huazhong Agricultural University. [徐慧. 2011. 基于SPOTVEGETATION 数据的长江流域植被覆盖变化特征分析[D]. 武汉:华中农业大学.]

[22] Zhao Y S. 2003. The principles and methods of applicationand analysis of remote sensing. Beijing: Science Press.[赵英时. 2003. 遥感应用分析原理与方法. 北京: 科学出版社.]

[23] Zhou H J, Wang J A, Li R, et al. 2008. Analysis of effects of"Grain for Green" program using temporal NDVI andrainfall series. Journal of Soil and Water Conservation, 22(4): 70-74. [周洪建, 王静爱, 李睿, 等. 2008. 基于SPOTVEGNDVI和降水序列的退耕还林(草)效果分析. 水土保持学报, 22(4): 70-74.]

Dynamic changes and spatial patterns of vegetation cover in a river basin based on SPOT-VGT data: A case study in the Huaihe River Basin

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Metrics

Comments

Recommended 0

[1]	WANG Fan, LIN Yuexi, WANG Mingfeng. “Third space” or “infinite occasion”: Location choice and influencing factors of the new retail industry [J]. PROGRESS IN GEOGRAPHY, 2020, 39(9): 1522-1531.
[2]	FU Zhanhui, MEI Lin, ZHENG Rumin, WANG Tongtong. Spatial differentiation mechanism of urban female employment rate in Northeast China [J]. PROGRESS IN GEOGRAPHY, 2020, 39(8): 1308-1318.
[3]	GUO Qingbin, LUO Kang, LIU Chengliang. A comparative study on the differences of factors aggregating ability among urban agglomerations in the Yangtze River Economic Belt [J]. PROGRESS IN GEOGRAPHY, 2020, 39(4): 542-552.
[4]	ZHOU Meijun, LI Fei, SHAO Jiaqi, YANG Haijuan. Change characteristics of maize production potential under the background of climate change in China [J]. PROGRESS IN GEOGRAPHY, 2020, 39(3): 443-453.
[5]	LIU Hanchu, FAN Jie, ZHANG Haipeng, Wang Fuyuan. Dynamics of manufacturing industry and change of its spatial pattern in the Pearl River Delta urban agglomeration [J]. PROGRESS IN GEOGRAPHY, 2020, 39(2): 195-206.
[6]	JIN Annan, LI Gang, WANG Jianpo, Muhammad Sajid MEHMOOD, YU Yue, LIN Zhe. Location choice and optimization of development of community-oriented new retail stores: A case study of Freshippo stores in Nanjing City [J]. PROGRESS IN GEOGRAPHY, 2020, 39(12): 2013-2027.
[7]	LUO Jing,JIANG Liang,LUO Minghai,TIAN Lingling,CHEN Guolei,TIAN Ye,WU Yikun. Rural development level of villages in Wuhan City’s new urban districts and its hierarchical structure [J]. PROGRESS IN GEOGRAPHY, 2019, 38(9): 1370-1381.
[8]	SUN Rui,CHEN Shaohui,SU Hongbo. Spatiotemporal variations of NDVI of different land cover types on the Loess Plateau from 2000 to 2016 [J]. PROGRESS IN GEOGRAPHY, 2019, 38(8): 1248-1258.
[9]	Peiran CHEN, Chengjin WANG, Weidong LIU. Spatial change of China’s investment pattern for overseas ports and its mechanism [J]. PROGRESS IN GEOGRAPHY, 2019, 38(7): 973-987.
[10]	Nanchen CHU, Pingyu ZHANG, He LI. High-speed rail impact on regional accessibility and its spatial effects:A case study of the Blagoveshchensk-Vladivostok railway [J]. PROGRESS IN GEOGRAPHY, 2019, 38(7): 988-997.
[11]	Jiheng LI, Yue GONG, Guicai LI. Spatial patterns of village and town built areas in the Pearl River Delta:A land-use perspective [J]. PROGRESS IN GEOGRAPHY, 2019, 38(6): 829-839.
[12]	Yuke ZHOU. Detecting Granger effect of vegetation response to climatic factors on the Tibetan Plateau [J]. PROGRESS IN GEOGRAPHY, 2019, 38(5): 718-730.
[13]	Shaoxing LI, Xianzhi WANG, Xiaole JI, Ye ZHANG. Spatial change and influencing factors of population aging in Shandong Province at the township scale [J]. PROGRESS IN GEOGRAPHY, 2019, 38(4): 567-576.
[14]	Gang LI, Weiyu CHEN, Lan YANG, Qian LIU, Xiliang CHEN. Spatial pattern and agglomeration mode of parcel collection and delivery points in Wuhan City [J]. PROGRESS IN GEOGRAPHY, 2019, 38(3): 407-416.
[15]	Wenbo ZHAO, Hongjie LIU, Xueting TIAN, Baolin LI, Weihong CAO. Environmental climate spatial pattern of Guangzhou City based on urban climatic map [J]. PROGRESS IN GEOGRAPHY, 2019, 38(3): 452-464.