应用气象学报
應用氣象學報
응용기상학보
QUARTERLY JOURNAL OF APPLIED METEOROLOGY
2014年
6期
722-730
,共9页
MODIS/LST%验证%混合像元%林芝地区
MODIS/LST%驗證%混閤像元%林芝地區
MODIS/LST%험증%혼합상원%림지지구
MODIS/LST%validation%mixed pixel%Linzhi Area
西藏林芝地区地形复杂、土地覆盖类型多样,MODIS 地表温度(land surface temperature,LST)产品验证面临处理混合像元的难题,为获得与像元尺度(1 km)相匹配的地表温度数据,该文提出采用多点同时观测结合面积加权的方法,将该方法应用于验证林芝地区2013年6月10日夜间晴空MODIS/LST产品。结果显示:单点观测对像元的代表性不足,容易低估产品精度(10个样本均方根误差为2.2 K),面积加权法可获得综合性更好的地面LST信息,对MODIS/LST产品的精度给出更高的评价(30个样本均方根误差为1.40 K)。对于地表类型混杂程度高且地势较为平坦的像元,面积加权法的优势更为明显,可将卫星LST产品与地面LST之间的差异由3 K降至1 K以内。
西藏林芝地區地形複雜、土地覆蓋類型多樣,MODIS 地錶溫度(land surface temperature,LST)產品驗證麵臨處理混閤像元的難題,為穫得與像元呎度(1 km)相匹配的地錶溫度數據,該文提齣採用多點同時觀測結閤麵積加權的方法,將該方法應用于驗證林芝地區2013年6月10日夜間晴空MODIS/LST產品。結果顯示:單點觀測對像元的代錶性不足,容易低估產品精度(10箇樣本均方根誤差為2.2 K),麵積加權法可穫得綜閤性更好的地麵LST信息,對MODIS/LST產品的精度給齣更高的評價(30箇樣本均方根誤差為1.40 K)。對于地錶類型混雜程度高且地勢較為平坦的像元,麵積加權法的優勢更為明顯,可將衛星LST產品與地麵LST之間的差異由3 K降至1 K以內。
서장림지지구지형복잡、토지복개류형다양,MODIS 지표온도(land surface temperature,LST)산품험증면림처리혼합상원적난제,위획득여상원척도(1 km)상필배적지표온도수거,해문제출채용다점동시관측결합면적가권적방법,장해방법응용우험증림지지구2013년6월10일야간청공MODIS/LST산품。결과현시:단점관측대상원적대표성불족,용역저고산품정도(10개양본균방근오차위2.2 K),면적가권법가획득종합성경호적지면LST신식,대MODIS/LST산품적정도급출경고적평개(30개양본균방근오차위1.40 K)。대우지표류형혼잡정도고차지세교위평탄적상원,면적가권법적우세경위명현,가장위성LST산품여지면LST지간적차이유3 K강지1 K이내。
Southeastern part of Tibet is featured with complicated terrain and diverse land cover types.Valida-tion of MODIS/LST product (1-km spatial resolution)in this region is faced with mixed pixel issue.Point-based LST measurements cannot represent the pixel well.To obtain ground LST measurements at pixel scale,traditional method usually depends on the high spatial resolution of thermal images,such as Aster and TM.However,these data are often unavailable due to persistent cloud cover and long repeat cycle. Therefore,a new simple method called area-weighted average (AWA)method is proposed,in which land cover map at high spatial resolution is combined with multi-site field observations to model the hypothetical observations at moderate pixel scale.The assumption of AWA method is that field observations can be shared within the same land cover.The AWA method is applied and analyzed on the case of Linzhi (with an area of 20 km2 )which locates in southeastern part of Tibet.First,5 field stations are set up on 5 typi-cal land covers:Grassland,farmland,floodplain,forest at sunny slope,and forest at shadowy slope.The upward and downward long-wave radiations are measured simultaneously.Then the land cover map at 30 m spatial resolution is derived from TM image using maximum likelihood classification method.For ev-ery 1-km MODIS pixel,the fraction of each typical land cover is calculated,and the radiation at MODIS pixel-scale is estimated through area-weighted averaging.The broadband emissivity is calculated using lin-ear combination of narrowband emissivity of MODIS band 31 and 32.Finally,LST at MODIS pixel-scale can be calculated based on Stefan-Boltzmann law.The AWA method is used for validating daily product of MODIS/LST from Terra and Aqua platforms on 10 June 2013 (LST at night is used because it changes slowly both in temporal and spatial domain).Results show that the RMSE of MODIS/LST is below 1 .4 K (n= 30)when applying the AWA method.If a point-based measurement is used to directly represent a MODIS pixel,the RMSE is more than 2.2 K (n= 10),showing a tendency of over-estimation.The error of Aqua LST is slightly greater than that of Terra LST,probably due to a larger sensor view zenith angle during overpass.Superiority of the AWA method is more noticeable for pixels with high land cover heterogeneity and gentle terrain.The difference in LST between satellite and field observations can be decreased from 3 K to 1 K.However,for pixels with homoge-neous land covers or with very tough terrains,the advantage of AWA method is limited.To further improve the AWA method,terrain adj ustment should be taken into account when extrapolating point-based measurements to the same land cover but from another region,because the slope and aspect will influence the surface energy balance process even when the land cover stays the same.Results also indicate MODIS/LST data at nighttime in Linzhi Area are accurate,which are very meaningful considering the low density of meteorological stations in this area.