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Alternative TitleResearch on Constructing Vegetation Fractional Coverage with Higher Spatial and Temporal Resolution in Cloudy and Foggy Region
陈阳1,2; 范建容3; 张云1; 李胜1,2; 甘泉1,2; 应国伟1,2; 曹伟超1,2
Corresponding Author范建容
Source Publication遥感技术与应用


Other Abstract

Focusing on the cloudy and foggy region lacked of remote sensing data with highspatial and temporal resolution,a method of constructing vegetationfractional coveragewith high spatial and temporal resolution,on region scale has been proposed,in this paper.First,normalized difference vegetation index(NDVI) data with higher spatial andtemporal resolution was constructed by combining advantages both of TM and MODIS usingspatial and temporal adaptive reflectance fusion model(STARFM).Then,based on the land coverage typedata and NDVI data in the peak stage of vegetation growth,the vegetation fractional coverageof study area was estimated by density sub-pixel model andnon-density sub-pixel model.The result shows that:①Even the data sources with a lot of snow and cloud or shoot at different times,in the estimated vegetation fractional coverage image,the color of the area covered by cloud or it’s shade is consistent with the color of area uncontaminated;②The normalizeddifference vegetation index(NDVI)data,in the peak stage of vegetation growth,as input dataimproved the anti-disturbance to input data of sub-pixel mixed model estimates of vegetationcoverage by maximum the NDVI difference of same vegetation with differentvegetation fractional coverage;③Based on land coverage using sub-pixel model can improve the accuracy ofestimating vegetation fractional coverage.Validated by the data measured in the field,the accuracy of estimated vegetation fractional coverage isabout 85%,which suggest that it is viable to estimate vegetation fractional coverage in large regions,especially lacking of remote sensing data with high spatial and temporal resolution.

Keyword高时空分辨率 区域尺度 Starfm 亚像元模型 植被覆盖度
Subject AreaQ948 ; Tp79
Indexed ByCSCD ; 北大中文核心
Funding Organization四川省测绘地理信息局科技支撑项目“基于解译知识库的面向对象信息提取技术在地里国(省)情地表覆盖解译中的应用研究”(J2013ZC03) ; 四川省测绘地理信息局科技支撑项目“地理国情监测支持下的山区公路沿线生态地质环境承载力研究”(J2014ZC03)
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Document Type期刊论文
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GB/T 7714
陈阳,范建容,张云,等. 多云雾地区高时空分辨率植被覆盖度构建方法研究[J]. 遥感技术与应用,2016,31(3):518-529.
APA 陈阳.,范建容.,张云.,李胜.,甘泉.,...&曹伟超.(2016).多云雾地区高时空分辨率植被覆盖度构建方法研究.遥感技术与应用,31(3),518-529.
MLA 陈阳,et al."多云雾地区高时空分辨率植被覆盖度构建方法研究".遥感技术与应用 31.3(2016):518-529.
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