复合植被指数在稀疏高寒草原植被盖度遥感反演中的应用
Application of composite vegetation index in remote sensing inversion of sparse fractional vegetation cover in Alpine steppe
查看参考文献34篇
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文摘
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基于Landsat 8遥感影像数据,以西藏日喀则经南木林到申扎县的一条样带高寒草原作为研究对象,选择较为常用的归一化植被指数(normalized difference vegetation index,NDVI)、土壤调整植被指数(soil adjusted vegetation index,SAVI)、修改型土壤调整植被指数(modified soil adjusted vegetation index,MSAVI)以及对半干旱区低覆盖植被信息较为敏感的转换型土壤调整植被指数(transformational soil adjusted vegetation index,TSAVI),结合地表反射率改进运算的 FCD模型(forest canopy density mapping model)棵土(bare soil index,BI)和阴影指数(shadow index,SI)构建适合低植被覆盖区域的复合植被指数(vegetation bare shadow index, VBSI);基于各植被指数构建像元二分模型,定量反演高寒草原植被盖度;并利用网格法实测的植被盖度分析反演精度。研究结果表明,8种植被指数所构建的像元二分模型对高寒草原植被盖度的反演精度以VBSI(TSAVI)最高,反演精度为85.66%;并证明了基于野外采集的土壤光谱曲线获取的TSAVI所构建的像元二分模型对高寒草原植被盖度信息的提取具有一定的实用性;改进运算的FCD模型裸土和阴影指数能较好地削弱土壤和阴影对植被信息的影响,所构建的复合植被指数对提取稀疏高寒草原植被盖度信息具有重要的实际意义。 |
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其他语种文摘
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Based on the Landsat 8 remote sensing image data, a transect of alpine steppe from Shigatse City-through Nanmulin County to Shenzha County in Tibet was selected as the research area. Four commonly used vegetation indices were used in this study, including the normalised difference vegetation index (NDVI),soil-adjusted vegetation index (SAVI),modified soil-adjusted vegetation index (MSAVI), and transformational soil-adjusted vegetation index (TSAVI) , which is sensitive to vegetation information with low coverage in semi-arid areas. Furthermore, the study improved the bare soil index (BI) and the shadow index (SI) using surface reflectance to construct the vegetation bare shadow index (VBSI) suitable for areas of low vegetation coverage. Then, based on the above vegetation indices, the quantitative inversion of vegetation coverage of the alpine steppe was conducted by the dimidiate pixel model. Finally, the inversion accuracy was analysed using the field vegetation coverage data by the grid method. The results showed that the inversion accuracy of VBSI (TSAVI) was the highest among the eight vegetation indices used, and the inversion accuracy was 85.66%. It was demonstrated that the dimidiate pixel model constructed by TSAVI based on the soil spectrum obtained by field collection has a certain practicality for the inversion of vegetation coverage of alpine steppe. The BI and SI of the improved FCD model can significantly reduce the influence of soil and shade on vegetation information. The constructed composite vegetation index is of great practical significance to extract the vegetation coverage information of sparse alpine steppe. |
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来源
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草业科学
,2017,34(9):1767-1777 【核心库】
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DOI
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10.11829/j.issn.1001-0629.2016-0589
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关键词
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像元二分模型
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高光谱曲线
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复合植被指数
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高寒草原
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植被盖度
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土壤线
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FCD模型
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地址
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1.
中国科学院水利部成都山地灾害与环境研究所, 四川, 成都, 610041
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西南交通大学地球科学与环境工程学院, 四川, 成都, 610031
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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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1001-0629 |
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学科
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农业基础科学;畜牧、动物医学、狩猎、蚕、蜂 |
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基金
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中国科学院战略性先导科技专项
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文献收藏号
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CSCD:6069440
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参考文献 共
34
共2页
|
|
1.
陈爱京. 基于像元二分模型的和布克赛尔县植被覆盖动态变化分析.
草业科学,2012,29(6):857-862
|
被引
7
次
|
|
|
|
|
2.
廖春华. 基于HJ-1高光谱数据的植被覆盖度估测方法研究.
遥感信息,2011,26(5):65-70
|
被引
8
次
|
|
|
|
|
3.
陈建军. 疏勒河上游高寒草地植被盖度反演及精度评价.
草业科学,2014,31(1):56-65
|
被引
12
次
|
|
|
|
|
4.
宋清洁. 基于小型无人机与MODIS数据的草地植被覆盖度研究-以甘南州为例.
草业科学,2017,34(1):40-50
|
被引
41
次
|
|
|
|
|
5.
张喜旺. 基于中高分辨率遥感的植被覆盖度时相变换方法.
生态学报,2015,35(4):1155-1164
|
被引
29
次
|
|
|
|
|
6.
Gillies R R. A verification of the 'triangle' method for obtaining surface soil water content and energy fluxes from remote measurements of the normalized difference vegetation index (NDVI) and surface.
International Journal of Remote Sensing,1997,18(15):3145-3166
|
被引
119
次
|
|
|
|
|
7.
Wittich K P. Area-averaged vegetative cover fraction estimated from satellite data.
International Journal of Biometeorology,1995,38(4):209-215
|
被引
55
次
|
|
|
|
|
8.
Zribi M. Derivation of wild vegetation cover density in semi-arid regions:ERS2/SAR evaluation.
International Journal of Remote Sensing,2003,24(6):1335-1352
|
被引
52
次
|
|
|
|
|
9.
古丽·加帕尔. 干旱区荒漠稀疏植被覆盖度提取及尺度扩展效应.
应用生态学报,2009,20(12):2925-2934
|
被引
24
次
|
|
|
|
|
10.
李向婷. 新疆荒漠稀疏植被覆盖度信息遥感提取方法比较.
干旱区地理,2013,36(3):502-511
|
被引
34
次
|
|
|
|
|
11.
郭芬芬. 基于像元二分模型的昌都县植被盖度遥感估算.
中国水土保持,2010,31(5):65-67
|
被引
18
次
|
|
|
|
|
12.
李艺梦. 基于Landsat 8影像的额济纳荒漠绿洲植被覆盖度估算方法对比研究.
遥感技术与应用,2016,31(3):590-598
|
被引
11
次
|
|
|
|
|
13.
韦惠兰. 基于遥感监测的青藏高原草地退化及其人文驱动力分析.
草业科学,2016,33(12):2576-2586
|
被引
17
次
|
|
|
|
|
14.
Ding M J. Spatiotemporal variation in alpine grassland phenology in the Qinghai-Tibetan Plateau from 1999 to 2009.
Science Bulletin,2013,58(3):396-405
|
被引
3
次
|
|
|
|
|
15.
邹珊. 青藏高原两种特殊的植被类型:高寒草原和高寒草甸.
地理教学,2016,58(2):4-7
|
被引
5
次
|
|
|
|
|
16.
刘金锋.
基于多源遥感数据的青海湖流域植被指数研究.硕士学位论文,2014
|
被引
1
次
|
|
|
|
|
17.
裴志永. 青藏高原高寒草原区域碳估测.
地理研究,2010,29(1):102-110
|
被引
46
次
|
|
|
|
|
18.
郑度. 青藏高原自然环境的演化与分异.
地理研究,1990,9(2):1-10
|
被引
22
次
|
|
|
|
|
19.
王杰. 基于灵活的时空融合模型的植被覆盖度与植被指数关系.
草业科学,2017,34(2):264-272
|
被引
6
次
|
|
|
|
|
20.
Galvao L S. Variability of laboratory measured soil lines of soils from southeastern Brazil.
Remote Sensing of Environment,1998,63(2):166-181
|
被引
36
次
|
|
|
|
|
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