全球陸表特征參量產(chǎn)品生成系統(tǒng)與產(chǎn)品生產(chǎn)

梁順林++趙祥++肖志強(qiáng)

摘 要：863計(jì)劃重點(diǎn)項(xiàng)目“全球陸表特征參量產(chǎn)品生成與應(yīng)用研究”第三課題“全球陸表特征參量產(chǎn)品集生成系統(tǒng)研發(fā)與產(chǎn)品生成”針對(duì)葉面積指數(shù)、反照率、發(fā)射率、下行短波輻射和下行光合有效輻射5個(gè)典型陸表特征參量，發(fā)展基于多源遙感數(shù)據(jù)的、具有國(guó)際先進(jìn)水平的全球陸表特征參量產(chǎn)品反演算法。建立具有我國(guó)自主知識(shí)產(chǎn)權(quán)的，生產(chǎn)全球公里級(jí)尺度產(chǎn)品的生產(chǎn)系統(tǒng)，該系統(tǒng)能夠進(jìn)行快速處理得到符合質(zhì)量要求的典型參量產(chǎn)品。生成一套長(zhǎng)時(shí)間序列、高精度的全球陸表特征參量產(chǎn)品數(shù)據(jù)集，包含迄今為止時(shí)間尺度最長(zhǎng)的葉面積指數(shù)、地表反照率和發(fā)射率產(chǎn)品，也包含空間分辨率最高的兩種輻射產(chǎn)品。生產(chǎn)的5種陸表特征參量是反映地表植被狀況和地表能量收支變化的重要參數(shù)，是中國(guó)科學(xué)家自主生產(chǎn)的首套全球陸表特征參量產(chǎn)品，彌補(bǔ)了我國(guó)該領(lǐng)域內(nèi)的空白，將直接服務(wù)于全球變化研究，提升氣候系統(tǒng)模擬的準(zhǔn)確性，擴(kuò)大我國(guó)在全球變化領(lǐng)域的影響力，促進(jìn)全球地球觀測(cè)數(shù)據(jù)共享。

關(guān)鍵詞：陸表特征參量 衛(wèi)星遙感 全球變化

Abstract： Global Land Surface Characteristic Parameters （GLASS） Production System Development and Products Generation Project are completed under the funding High-Tech Research and Development program （863 program） as the central part of a key research project "Generation & Applications of Global Products of Essential Land Variables". This GLASS project developed five international advanced high-level inversion algorithms with multi-source remote sensing data， established a products production system with own intellectual property rights and global 1 km magnitude scale production capacity， generated five land surface characteristic parameters products： three long-time-series products （leaf area index， surface albedo， and emissivity products） and two high spatial resolution radiation products （downward shortwave radiation and photosynthetically active radiation）. This set of GLASS products are significant in reflecting the changes of land surface vegetation and energy balance will directly benefit global land surface research and promote the research and development and improvement of the climate system model. The project constituted a major breakthrough in the retrieval of land surface characteristic parameters from remote sensing data by Chinese scientists， promoted the global earth observation data sharing and improved China's influence in the field of global change.

Key Words： Land surface Characteristic parameters； Satellite remote sensing； Global change

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