MODIS數(shù)據(jù)輔助的GF-1影像晴空光合有效輻射反演
發(fā)布時(shí)間:2019-07-30 17:47
【摘要】:面向農(nóng)作物產(chǎn)量監(jiān)測對中高分辨率遙感數(shù)據(jù)光合有效輻射(photosynthetically available radiation,PAR)反演的實(shí)際需求,該文選擇山東省禹城市2014年1月至2014年12月共13景GF-1/WFV衛(wèi)星影像作為數(shù)據(jù)源,基于中分辨率成像光譜儀(moderate-resolution imaging spectroradiometer,MODIS)地表反射率產(chǎn)品作為輔助數(shù)據(jù)源,開發(fā)了適于業(yè)務(wù)運(yùn)行的WFV數(shù)據(jù)氣溶膠光學(xué)厚度(aerosol optical depth,AOD)及PAR的反演算法。算法核心是采用6S(second simulation of satellite signal in the solar spectrum)大氣輻射傳輸模型,建立包括AOD在內(nèi)的大氣參數(shù)與查找表(look-up table,LUT),結(jié)合大氣頂層太陽入射輻照度及衛(wèi)星入瞳處輻射亮度值反演地表反射率數(shù)據(jù),通過與WFV藍(lán)光波段地表反射率數(shù)據(jù)對比獲取大氣參數(shù)。通過反演的大氣參數(shù)計(jì)算400~700 nm連續(xù)光譜區(qū)間的PAR值,并建立WFV數(shù)據(jù)離散紅、綠、藍(lán)光波段與連續(xù)光譜區(qū)間PAR的轉(zhuǎn)換系數(shù),實(shí)現(xiàn)WFV數(shù)據(jù)PAR的反演。其中,WFV藍(lán)光波段反射率數(shù)據(jù)與MODIS地表反射率數(shù)據(jù)關(guān)系、離散到連續(xù)譜段PAR的關(guān)系可以從美國地質(zhì)勘探局(United States Geological Survey,USGS)提供的典型地物波譜庫數(shù)據(jù)理論計(jì)算獲取。利用中國生態(tài)系統(tǒng)研究網(wǎng)絡(luò)(chinese ecosystem research network,CERN)禹城站地面觀測值進(jìn)行驗(yàn)證結(jié)果表明,該文提出的算法總體精度達(dá)到92.63%,平均絕對誤差為14.56 W/m~2,平均相對誤差7.37%,具有業(yè)務(wù)應(yīng)用的潛力。
[Abstract]:In order to meet the actual demand of crop yield monitoring for (photosynthetically available radiation,PAR inversion of medium and high resolution remote sensing data, a total of 13 GF-1/WFV satellite images from January 2014 to December 2014 in Yucheng City, Shandong Province are selected as the data source, and the surface reflectivity products based on the medium Resolution Imaging Spectrometer (moderate-resolution imaging spectroradiometer,MODIS) are used as the auxiliary data source. The inversion algorithms of aerosol optical thickness (aerosol optical depth,AOD) and PAR for WFV data are developed. The core of the algorithm is to use the 6S (second simulation of satellite signal in the solar spectrum) atmospheric radiation transmission model to establish the atmospheric parameters and search table (look-up table,LUT), including AOD, to retrieve the surface reflectivity data combined with the solar incident irradiance at the top layer of the atmosphere and the radiation luminance at the satellite pupil, and to obtain the atmospheric parameters by comparing with the WFV blue light band surface reflectivity data. The par value of 400 鈮,
本文編號:2521044
[Abstract]:In order to meet the actual demand of crop yield monitoring for (photosynthetically available radiation,PAR inversion of medium and high resolution remote sensing data, a total of 13 GF-1/WFV satellite images from January 2014 to December 2014 in Yucheng City, Shandong Province are selected as the data source, and the surface reflectivity products based on the medium Resolution Imaging Spectrometer (moderate-resolution imaging spectroradiometer,MODIS) are used as the auxiliary data source. The inversion algorithms of aerosol optical thickness (aerosol optical depth,AOD) and PAR for WFV data are developed. The core of the algorithm is to use the 6S (second simulation of satellite signal in the solar spectrum) atmospheric radiation transmission model to establish the atmospheric parameters and search table (look-up table,LUT), including AOD, to retrieve the surface reflectivity data combined with the solar incident irradiance at the top layer of the atmosphere and the radiation luminance at the satellite pupil, and to obtain the atmospheric parameters by comparing with the WFV blue light band surface reflectivity data. The par value of 400 鈮,
本文編號:2521044
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