干旱荒漠区植被覆盖变化的遥感监测分析
Using Multi-spectral Remote Sensing Data to Extract and Analyze the Vegetation Change of the Western Gurbantunggut Desert
查看参考文献15篇
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文摘
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多期的遥感数据可以用来分析干旱荒漠区植被的空间分布格局和变化特征。本文以1989、2000和2007年3个不同时相的Landsat TM/ETM+影像为数据源,利用线性光谱混合分析和RGB彩色合成法构建一个研究框架,对古尔班通古特沙漠西缘进行植被信息的提取和变化监测分析。在混合像元分解过程中,通过多种方法选择端元,比较选出最佳的端元数目及其对应光谱特征值,对植被变化监测的结果,结合气象等因子综合判定。结果表明:(1)研究区内的植被、盐碱地、裸沙和黑色砂砾等4种端元被选取出来,分析表明非受限的最小包含端元特征法所选端元光谱特征的分解结果较为理想;(2)以线性光谱混合分解技术提取的干旱荒漠区植被分量与实测植被盖度显著相关,线性相关系数为0.86,可见干旱荒漠区的植被盖度可以通过遥感影像提取的植被分量间接得到;(3)研究时段内,研究区植被覆盖变好区域占研究区总面积的41.47%,而退化区域仅占16.51%,综合分析结果也说明植被总体情况呈现好转。 |
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其他语种文摘
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Acquiring vegetation information is a key step in monitoring and evaluating arid land cover,even though it is difficult to extract desert vegetation information due to the confounding effort of soil or sand.There are many limiting factors for estimating vegetation growth in arid landscapes.Nevertheless,the growth of perennial vegetation reflects comprehensive vegetation conditions and can represent vegetation cover during a certain period.So in this study,we analyzed three years of Landsat images(1989,2000 and 2007)that covered a typical portion of the Gurbantunggut Desert to estimate the vegetation change that has occurred.After comparing different methods,we finally chose the U-min method(one of the spectral mixture analysis methods)as the best way to determine the fraction of vegetation information of Landsat images.The RGB composition method was used to monitor the changes in vegetation abundance.In the end,we also comprehensively estimated vegetation changes using annual average time-series precipitation data and other’s NDVI research results.The main results showed that:(1)a significant linear relationship exists between vegetation cover and vegetation fraction,with a correlation coefficient of 0.858.So the vegetation cover percent can be expressed by vegetation fraction extracted from remote sense images.(2)The area with improved vegetation cover accounted for 41.47% of the whole study area,while these patches with degraded vegetation cover accounting for 16.51%.However,it should be noted that these degraded vegetation pixels were distributed more sporadically.(3)During the study period,improved vegetation regions were mainly located in the semi-fixed dunes.At the same time,the analysis results also showed that the vegetation was distributed extensively in the arid land,regions including vegetation grown occupied almost 90% of the whole study area,and the number of improved vegetation pixels was greater than the number of degraded vegetation pixels during the period of 20 years. |
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来源
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地球信息科学学报
,2011,13(3):305-312 【核心库】
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关键词
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端元
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光谱混合分析
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干旱荒漠区
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植被变化
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古尔班通古特沙漠
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地址
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1.
石河子大学生命科学学院, 石河子, 832000
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中国科学院地理科学与资源研究所, 北京, 100101
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中国科学院新疆生态与地理研究所, 乌鲁木齐, 830011
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1560-8999 |
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学科
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测绘学;植物学 |
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基金
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国家“十一五”科技支撑计划重大项目
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文献收藏号
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CSCD:4222602
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参考文献 共
15
共1页
|
|
1.
方精云. 我国森林植被的生物量和净生产量.
生态学报,1996,16(5):497-508
|
被引
520
次
|
|
|
|
|
2.
IPCC. Climate Change 2007:The Physical Science Basis.
Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change,2007:976-996
|
被引
1
次
|
|
|
|
|
3.
Yohe G W. A Synthetic Assessment of the Global Distribution of Vulnerability to Climate Change from the IPCC Perspective That Reflects Exposure and Adaptive Capacity.
Center for International Earth Science Information Network(CIESIN),2006
|
被引
1
次
|
|
|
|
|
4.
钱亦兵. 古尔班通古特沙漠短命植物的空间分布特征.
科学通报,2007,19(52):2299-2306
|
被引
1
次
|
|
|
|
|
5.
崔耀平. 基于光谱混合分析的干旱荒漠区植被遥感信息提取研究——以古尔班通古特沙漠西缘为例.
中国沙漠,2010,30(2):334-341
|
被引
13
次
|
|
|
|
|
6.
张立运. 论古尔班通古特沙漠模特多样性的一般特点.
生态学报,2002,22(11):1923-1932
|
被引
220
次
|
|
|
|
|
7.
贾亚敏. 新疆莫索湾南缘沙漠四种灌木空间异质性的对比.
干旱区研究,2008,25(2):225-230
|
被引
12
次
|
|
|
|
|
8.
Chavez P. Image-based Atmospheric Corrections:Revisited and Improved.
Photogrammetric Engineering and Remote Sensing,1996,62(9):1025-1036
|
被引
4
次
|
|
|
|
|
9.
Elmore A J. Quantifying Vegetation Change in Semiarid Environments:Precision and Accuracy of Spectral Mixture Analysis and the Normalized Difference Vegetation Index.
Remote Sensing of Environment,2000,73(1):87-102
|
被引
35
次
|
|
|
|
|
10.
Collado A D. Satellite Remote Sensing Analysis to Monitor Desertification Processes in the Crop-rangeland Boundary of Argentina.
Journal of Arid Environments,2002,52(1):121-133
|
被引
50
次
|
|
|
|
|
11.
Small C. Estimation of Urban Vegetation Abundance by Spectral Mixture Analysis.
International Journal of Remote Sensing,2001,22(7):1305-1334
|
被引
78
次
|
|
|
|
|
12.
李本纲. 一种利用多时相TM影像分析地表植被变化的新方法——以敦煌地区绿洲植被变化分析为例.
遥感学报,2000,4(4):295-298
|
被引
13
次
|
|
|
|
|
13.
施雅风. 中国西北气候由暖干向暖湿转型的特征和趋势探讨.
第四纪研究,2003,23(2):152-164
|
被引
576
次
|
|
|
|
|
14.
李珍存. 中国西北地区植被NDVI的时空变化及其影响因子分析.
地球信息科学学报,2010,12(3):315-321
|
被引
1
次
|
|
|
|
|
15.
方精云. 近20年来中国植被活动在增强.
中国科学C辑:生命科学,2003,33(6):229-240
|
被引
6
次
|
|
|
|
|
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