电子科技大学学报
電子科技大學學報
전자과기대학학보
JOURNAL OF UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA
2013年
2期
249-253
,共5页
MODIS%短波遥感数据%雪盖影响%地表反照率
MODIS%短波遙感數據%雪蓋影響%地錶反照率
MODIS%단파요감수거%설개영향%지표반조솔
MODIS%shortwave remote sensing data%snow’s impact%surface albedo
针对多种地表植被类型中等分辨率成像光谱仪(MODIS)短波地表反照率产品进行验证,并评估了雪对不同类型地表的反照率产品的影响.选取了19个AmeriFLUX站点的实测反照率数据对2005年的MODIS短波反照率数据进行验证,站点涉及常绿针叶林、落叶阔叶林、草地、湿地、灌木林和农田6种植被覆盖类型.结果显示受雪的影响时,每种植被类型的反照率产品质量都有所下降,其中常绿针叶林受影响最大,其反演误差、均方根误差、标准差从?0.0023、0.0230、0.0114增至0.0825、0.1085、0.0866.综合所有数据,受雪的影响总的反演误差绝对值从0.0206增至0.0355,均方根误差从0.0572增至0.1217,标准差从0.0539增至0.1870.
針對多種地錶植被類型中等分辨率成像光譜儀(MODIS)短波地錶反照率產品進行驗證,併評估瞭雪對不同類型地錶的反照率產品的影響.選取瞭19箇AmeriFLUX站點的實測反照率數據對2005年的MODIS短波反照率數據進行驗證,站點涉及常綠針葉林、落葉闊葉林、草地、濕地、灌木林和農田6種植被覆蓋類型.結果顯示受雪的影響時,每種植被類型的反照率產品質量都有所下降,其中常綠針葉林受影響最大,其反縯誤差、均方根誤差、標準差從?0.0023、0.0230、0.0114增至0.0825、0.1085、0.0866.綜閤所有數據,受雪的影響總的反縯誤差絕對值從0.0206增至0.0355,均方根誤差從0.0572增至0.1217,標準差從0.0539增至0.1870.
침대다충지표식피류형중등분변솔성상광보의(MODIS)단파지표반조솔산품진행험증,병평고료설대불동류형지표적반조솔산품적영향.선취료19개AmeriFLUX참점적실측반조솔수거대2005년적MODIS단파반조솔수거진행험증,참점섭급상록침협림、락협활협림、초지、습지、관목림화농전6충식피복개류형.결과현시수설적영향시,매충식피류형적반조솔산품질량도유소하강,기중상록침협림수영향최대,기반연오차、균방근오차、표준차종?0.0023、0.0230、0.0114증지0.0825、0.1085、0.0866.종합소유수거,수설적영향총적반연오차절대치종0.0206증지0.0355,균방근오차종0.0572증지0.1217,표준차종0.0539증지0.1870.
@@@@This paper evaluates moderate-resolution imaging spectroradiometer (MODIS) shortwave land surface albedo products over multiple land cover types, especially the impact of snow on these data. We choose 19 sites from AmeriFLUX to validate MODIS shortwave albedo products in the year of 2005. These sites are covered by evergreen needleleaf forest, deciduous broadleaf forest, grassland, wetland, shrubland and cropland. For every vegetation type, the albedo inversion quality is worse with snow cover than snow free. Snow has the most impact on evergreen needleleaf forests than others. For this land cover type, the bias, root-mean-square error (RMSE) and standard deviation (STD) performances of albedo inversion increase from?0.002 3, 0.023 0, and 0.011 4 to 0.082 5, 0.108 5 and 0.086 6, respectively. For all data, the total bias, RMSE and STD increase from 0.020 6, 0.057 2 and 0.0539 to 0.035 5, 0.121 7 and 0.187 with effect of snow.
