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基于遥感和GIS的川西绿被时空变化研究
引用本文:杨存建,赵梓健,任小兰,倪静,王琴.基于遥感和GIS的川西绿被时空变化研究[J].生态学报,2012,32(2):632-640.
作者姓名:杨存建  赵梓健  任小兰  倪静  王琴
作者单位:1. 四川师范大学西南土地资源评价与监测教育部重点实验室遥感与GIS中心,成都610068;电子科技大学地表空间信息技术研究所,成都610054
2. 电子科技大学地表空间信息技术研究所,成都,610054
3. 四川师范大学西南土地资源评价与监测教育部重点实验室遥感与GIS中心,成都,610068
基金项目:国家973项目(2009CB421105,2007CB714401), 国家自然科学(40771144), 国家863项目(2009AA12Z140) 1
摘    要:探索出了利用多时相MODIS数据分析绿被时空变化的技术方法,揭示出了川西2002—2008年间绿被的变化特征。建立了绿被提取模型。用其从2002—2008年的多期MODIS影像中提取出川西多期绿被数据。其次,利用GIS技术对2002—2008年间绿被变化,及其与温度、降雨的关系等进行了分析。研究表明:2002年绿被天数在195 d以上的区域有43.3%。终年无绿被的区域有4.3%。西北部植被生长日数短,而东南部生长日数长。2002—2008年间,春季绿被面积变幅最大,秋季最小。最大绿被面积出现在2006年的夏季,最小绿被面积出现在2005年的冬季。平均夏冬绿被面积差占区域面积46.7%。在季节上,绿被面积与温度和降雨量均在0.01的水平上呈显著正相关关系,其相关系数分别为0.82和0.84。该研究成果对植被生长潜力挖掘、农牧生产和生态建设决策等均有重要意义。

关 键 词:川西  绿被提取  遥感  动态变化
收稿时间:2010/11/29 0:00:00
修稿时间:2011/7/11 0:00:00

The analysis of the green vegetation cover change in western Sichuan based on GIS and Remote sensing
YANG Cunjian,ZHAO Zijian,REN Xiaolan,NI Jing and WANG Qin.The analysis of the green vegetation cover change in western Sichuan based on GIS and Remote sensing[J].Acta Ecologica Sinica,2012,32(2):632-640.
Authors:YANG Cunjian  ZHAO Zijian  REN Xiaolan  NI Jing and WANG Qin
Institution:Research center of RS GIS,Key Lab of Land Resources Evaluation and Monitor in Southwest,Sichuan Normal University,Cheng Du,,Research center of RS GIS,Key Lab of Land Resources Evaluation and Monitor in Southwest,Sichuan Normal University,Cheng Du,Research center of RS GIS,Key Lab of Land Resources Evaluation and Monitor in Southwest,Sichuan Normal University,Cheng Du,Research center of RS GIS,Key Lab of Land Resources Evaluation and Monitor in Southwest,Sichuan Normal University,Cheng Du
Abstract:A method for analyzing the change in green vegetation cover is proposed and applied to reveal the features of change in green vegetation cover in the western area of Sichuan province of the P. R. of China between 2002 and 2008. The western area of Sichuan includes GanZi, Aba, Liangshan, and Panzhihua. First, a time series of Moderate-resolution Imaging Spectroradiometer (MODIS) images acquired between 2002 and 2008 for western Sichuan were matched, processed to remove cloud, and normalized. Second, the time series of the normal difference vegetation index was calculated as the difference between the near infrared and red bands divided by the sum of the near infrared and red bands of the time series of MODIS images. Third, a model for extracting green vegetation cover from MODIS images was formulated by spectral analysis, and used to extract multi-temporal green-vegetation cover data from the time-series of MODIS images acquired of western Sichuan between 2002 and 2008. Fourth, the multi-temporal green-vegetation cover data were used to determine the temporal and spatial changes in green-vegetation cover between 2002 and 2008 using overlay and statistics analysis in ArcGIS software. Finally, the correlation among green-vegetation cover, temperature and rainfall were analyzed. The temporal and spatial changes in green-vegetation cover were deduced. In 2002, 43.3 percent of western Sichuan was covered by green vegetation for more than 195 days, 25.4 percent was covered for more than 285 days, and 4.3 percent was rarely covered. Green-vegetation cover extended from southeast to northwest from January to August, and retreated from northwest to southeast from September to December. Vegetation in the southeast grew for longer than that in the northwest during a year. The area of green vegetation in the study area varied largely by 20,064 km, accounting for 6.6 percent of the total study area, in the spring between 2002 and 2008. The area of green vegetation in the study area rarely varied in autumn between 2002 and 2008. The decreasing order of the area of green vegetation between 2002 and 2008 was the area for summer, autumn, spring and winter. The maximum area of green vegetation between 2002 and 2008 was 289,037 km2 in the summer of 2006, accounting for 94.9 percent of the study area, and the minimum was 137,193 km2 in the winter of 2005, accounting for 45 percent of the study area. The average of the difference in the area of green vegetation between summer and winter from 2002 to 2008 was 142,224 km, accounting for 46.7 percent of the study area. The green-vegetation area was significantly related to temperature and rainfall at the 0.01 confidence level according to season. Correlation coefficients were respectively 0.82 and 0.84. In summer, the vegetation area was significantly related to temperature at the 0.01 confidence level. Increasing temperature and rainfall are beneficial to vegetation growth. With the combination of light, heat, water, fertilizer and soil data, the spatial and temporal features of green-vegetation cover obtained here can be used to determine a methodology for improving the area and number of days of green-vegetation cover. The results presented here are important for improving vegetation growth, agriculture productivity and ecological construction.
Keywords:Western area of Sichuan province  extraction of green vegetation  remote sensing  dynamic change
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