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研究員/教授

  • 姓名：柳欽火
  • 性別：男
  • 專家類別：研究員
  • 所屬部門：遙感科學(xué)國家重點實驗室
  • 職務(wù)：
  • 職稱：研究員
  • 社會任職：

    2018-，中國空間科學(xué)學(xué)會理事，空間地球系統(tǒng)科學(xué)專業(yè)委員會委員

    2018-， 中國地理學(xué)會大數(shù)據(jù)工作委員會副主任委員

    2012-， 中國地理學(xué)會第二屆學(xué)術(shù)工作委員會，副主任委員

    2010-，中國環(huán)境科學(xué)學(xué)會環(huán)境信息系統(tǒng)與遙感專業(yè)委員會第一屆委員會

    2009-2018， Member of IEEE Geoscience and Remote Sensing Society

    2018- IEEE，Senior Member of IEEE Geoscience and Remote Sensing Society

    2003-2017， 中國測繪學(xué)會第九、十、十一屆理事會攝影測量與遙感專業(yè)委員會副主任委員（2003-2006，2007-2010，2011-2014）

    2018-， 中國測繪地理信息學(xué)會第十二屆理事會攝影測量與遙感專業(yè)委員會副主任委員

    2003-2014， 全國氣象學(xué)會第25、26、27屆衛(wèi)星氣象與空間天氣學(xué)委員會委員

  • 電話：010-64849840
  • 傳真：010-64849840
  • 電子郵件：liuqh@aircas.ac.cn
  • 個人網(wǎng)頁： 
  • 百人入選時間：
  • 杰青入選時間：
  • 通訊地址：北京市朝陽區(qū)大屯路甲20號（北）中國科學(xué)院空天信息創(chuàng)新研究院
  • 郵政編碼：100101

    簡歷

  • 柳欽火，男，中國科學(xué)院空天信息創(chuàng)新研究院二級研究員、博士生導(dǎo)師、中國科學(xué)院大學(xué)崗位教授、國家重點研發(fā)計劃項目負責(zé)人，中國遙感應(yīng)用協(xié)會定量遙感專業(yè)委員會主任、中國空間科學(xué)學(xué)會理事、空間地球科學(xué)專業(yè)委員會副主任、中國測繪學(xué)會攝影測量與遙感專業(yè)委員會副主任、中國地理學(xué)會大數(shù)據(jù)工作委員會副主任，亞洲大洋洲地球觀測組織（AOGEO）第七工作組（環(huán)境監(jiān)測與保護）組長、國際地球觀測組織（GEO）預(yù)研項目（GEOARC）聯(lián)合主席，Journal of Remote Sensing副主編、遙感學(xué)報副主編。獲西南交通大學(xué)學(xué)士學(xué)位（1988）、北京大學(xué)碩士學(xué)位（1994）、北京大學(xué)博士學(xué)位（1997），1999年中國科學(xué)院遙感應(yīng)用研究所博士后出站留所工作至今，2001年晉升研究員，曾任中國科學(xué)院遙感應(yīng)用研究所所長助理（2010.5-2012.9）、遙感科學(xué)國家重點實驗室副主任（2004.11-2018.10）/常務(wù)副主任（主持工作，2018.11-2023.10）、遙感輻射傳輸研究室主任（2007.1-2018.10）等職務(wù)。先后前往法國農(nóng)業(yè)科學(xué)院氣候與環(huán)境研究所(1998.3-1999.3)、美國波士頓大學(xué)地理系（1999.3-1999.6）、美國馬里蘭大學(xué)地理學(xué)（20045-2004.6）、美國喬治梅森大學(xué)地理系（2010.9-2010.12）、澳大利亞悉尼理工大學(xué)氣候變化研究中心（2014.6-2014.12）任（高級）訪問學(xué)者。

     

    工作經(jīng)歷：

    1988.7—1991.9，鐵道部隧道工程局，助理工程師

    1997.7—1999.7，中國科學(xué)院遙感應(yīng)用研究所，地圖學(xué)與遙感博士后。

    （期間：1998.12—1999.3，法國農(nóng)業(yè)科學(xué)院，訪問學(xué)者

    1999.3—1999.6，美國波士頓大學(xué)地理系，訪問學(xué)者）

    1999.7—2001.2，中國科學(xué)院遙感應(yīng)用研究所，遙感信息科學(xué)重點實驗室，副研究員

    2001.2—2003.1，中國科學(xué)院遙感應(yīng)用研究所，遙感信息科學(xué)重點實驗室，研究員

    2003.1—2004.11，中國科學(xué)院遙感應(yīng)用研究所，遙感信息科學(xué)重點實驗室，副主任、研究員

    2004.11—2007.1，中國科學(xué)院遙感應(yīng)用研究所，遙感科學(xué)國家重點實驗室，副主任、研究員

    （期間：2004.5—2004.6，美國馬里蘭大學(xué)地理學(xué)，高級訪問學(xué)者）

    2007.1—2010.5，中國科學(xué)院遙感應(yīng)用研究所，遙感科學(xué)國家重點實驗室（常務(wù)）副主任,遙感輻射傳輸研究室主任、研究員

    （期間： 2010.9—2010.12，美國喬治梅森大學(xué)地理系，高級訪問學(xué)者）

    2010.5—2012.9，中國科學(xué)院遙感應(yīng)用研究所所長助理、黨委委員，遙感科學(xué)國家重點實驗室副主任，遙感輻射傳輸研究室主任、研究員

    2012.9—2018.11，中國科學(xué)院遙感與數(shù)字地球研究所，遙感科學(xué)國家重點實驗室副主任，遙感輻射傳輸研究室主任、研究員

    （期間：2014．6-2014.12，澳大利亞悉尼理工大學(xué)，高級訪問學(xué)者）

    2018.12.12—2023.10，中國科學(xué)院空天信息創(chuàng)新研究院，遙感科學(xué)國家重點實驗室常務(wù)副主任，研究員

    2023.11—至今，中國科學(xué)院空天信息創(chuàng)新研究院，遙感衛(wèi)星應(yīng)用國家工程研究中心，研究員

     

    研究方向

  • 主要研究方向為定量遙感建模、反演與應(yīng)用，主持了國家重點研發(fā)計劃項目、國家自然科學(xué)基金重點項目、國家高分重大專項項目、973項目課題、863重大項目課題、國家科技支撐計劃重點項目課題、以及中科院重點部署項目等科研任務(wù)，在國內(nèi)外學(xué)術(shù)期刊發(fā)表學(xué)術(shù)論文500余篇，其中SCI收錄論文200余篇，SCI引用6000余次，出版專著14部，授權(quán)發(fā)明專利24項，編制國家標準7項。2018年獲國務(wù)院政府特殊津貼，獲國家科學(xué)技術(shù)進步二等獎（2016）、山東省科學(xué)技術(shù)進步一等獎（2023）、北京市科技進步二等獎（2022、2021）、中國測繪學(xué)會科技進步一等獎（2021、2018）、北京市科技進步一等獎（2013）、廣東省科技進步二等獎（2014）、上海市科技進步二等獎（2002）等多項科技獎勵。

    代表性成果：（1）主持研發(fā)了全鏈路國產(chǎn)衛(wèi)星光學(xué)遙感圖像仿真模擬系統(tǒng)：突破了復(fù)雜地表空間異質(zhì)性表征與多次散射求解的理論難題，創(chuàng)建了混合像元、山地二向性反射及熱輻射方向性系列模型；攻克了耦合地表方向性模型的多角度遙感成像模擬技術(shù)，研建了業(yè)務(wù)化運行的全鏈路國產(chǎn)衛(wèi)星光學(xué)遙感圖像仿真模擬系統(tǒng)，有效支撐了我國環(huán)境減災(zāi)衛(wèi)星、中巴資源衛(wèi)星和高分重大專項等衛(wèi)星20余個光學(xué)和紅外載荷指標的自主設(shè)計論證和地面系統(tǒng)建設(shè)。（2）主持研發(fā)了多源協(xié)同定量遙感產(chǎn)品生成系統(tǒng)：針對國產(chǎn)遙感衛(wèi)星定量應(yīng)用不足、遙感數(shù)據(jù)源面臨卡脖子的風(fēng)險，創(chuàng)建了多源協(xié)同定量遙感共性產(chǎn)品生成技術(shù)體系，攻克了多源遙感數(shù)據(jù)幾何歸一化、高頻次交叉定標與高精度大氣校正等關(guān)鍵技術(shù)；突破了復(fù)雜地表條件下地表參量多星協(xié)同反演等核心技術(shù)，研建了國產(chǎn)衛(wèi)星為主要數(shù)據(jù)源的多源協(xié)同定量遙感產(chǎn)品生成系統(tǒng)，具備公里、百米和十米級多尺度遙感數(shù)據(jù)歸一化處理和40余種定量遙感產(chǎn)品自動化與規(guī)?；瘶I(yè)務(wù)生產(chǎn)能力，成果在農(nóng)業(yè)部、水利部、環(huán)境保護部、自然資源部等行業(yè)領(lǐng)域推廣應(yīng)用，顯著提升了定量遙感在國民經(jīng)濟各行業(yè)的應(yīng)用水平。（3）主持研發(fā)了高分共性遙感產(chǎn)品真實性檢驗平臺與產(chǎn)品定型分系統(tǒng)：開展了高分衛(wèi)星遙感共性產(chǎn)品生成、高分遙感共性產(chǎn)品測評與產(chǎn)品真實性檢驗等關(guān)鍵技術(shù)攻關(guān)，研發(fā)了業(yè)務(wù)化運行的高分共性遙感產(chǎn)品真實性檢驗平臺與產(chǎn)品定型分系統(tǒng)，具備了野外臺站觀測規(guī)劃-觀測數(shù)據(jù)匯聚-遙感算法測評-共性產(chǎn)品生產(chǎn)-真實性檢驗的一站式共享服務(wù)能力，形成了遙感產(chǎn)品真實性檢驗的系列國家標準，有效提升了高分辨率對地觀測重大專項遙感定量化應(yīng)用效益。（4）主持編制了全球生態(tài)環(huán)境遙感監(jiān)測系列報告：主持了科技部在GEO全會發(fā)布的《中國東盟區(qū)域生態(tài)環(huán)境狀況》、《“一帶一路”生態(tài)環(huán)境狀況》、《全球陸域生態(tài)系統(tǒng)可持續(xù)發(fā)展態(tài)勢》等全球生態(tài)環(huán)境遙感監(jiān)測報告，被中央電視臺、人民日報等多家媒體廣泛報道，為全球生態(tài)環(huán)境保護、資源合理利用、政府決策和國際合作提供了有效支撐。

    承擔(dān)科研項目情況

  • （1）2023.12-2027.11，國家重點研發(fā)計劃項目，生態(tài)系統(tǒng)結(jié)構(gòu)與過程關(guān)鍵參數(shù)反演與三維實景重建技術(shù)（2023YFF1303600），項目負責(zé)人。
    （2）2019.1-2021.12，空天院自主部署項目“國產(chǎn)遙感衛(wèi)星共性定量遙感產(chǎn)品生成技術(shù)與運行系統(tǒng)”，項目負責(zé)人。
    （3）2020.1-2024.12，國家自然科學(xué)重點基金項目，復(fù)雜地表輻射收支虛擬星座多角度遙感監(jiān)測機理研究（41930111），項目負責(zé)人。
    （4）2018.7-2021.6，國家重點研發(fā)計劃項目，基于國產(chǎn)衛(wèi)星數(shù)據(jù)的全球變化關(guān)鍵數(shù)據(jù)研制（2018YFA0605500），項目負責(zé)人。
    （5）2017.5-2019.4，中國科學(xué)院重點部署項目，“瀾湄流域重大蟲媒孳生環(huán)境遙感監(jiān)測與服務(wù)”（KFZD-SW-316），項目負責(zé)人。
    （6）2013-2017，國家重大基礎(chǔ)研究規(guī)劃項目（973計劃）“復(fù)雜地表遙感動態(tài)分析與建?！保谝徽n題，復(fù)雜地表遙感輻散射機理及動態(tài)建模（2013CB733401），課題負責(zé)人。
    （7）2012－2015，國家863計劃重大項目“ 星機地綜合定量遙感系統(tǒng)與應(yīng)用示范（一期）”，第四課題：多尺度遙感數(shù)據(jù)按需快速處理與定量遙感產(chǎn)品生成關(guān)鍵技術(shù)（SS2012AA120904），課題負責(zé)人。
    （8）2012-2015，中國科學(xué)院西部行動計劃項目“黑河流域生態(tài)-水文遙感產(chǎn)品生產(chǎn)與應(yīng)用試驗研究”，第二課題“黑河流域生態(tài)過程關(guān)鍵參量遙感產(chǎn)品（KZCX2-XB3-05-02）”，課題負責(zé)人。
    （9）2012-2016，中國科學(xué)院創(chuàng)新團隊國際合作伙伴計劃項目“衛(wèi)星遙感在能量與水循環(huán)監(jiān)測中的機理研究與應(yīng)用”，課題“光學(xué)前向模擬模型與地表輻射平衡” ，課題負責(zé)人。
    （10）2008－2011，國家自然科學(xué)基金重點項目，光學(xué)與微波遙感的模型協(xié)同及聯(lián)合反演研究(40730525)，項目負責(zé)人。
    （11）2007－2010，國家科技支撐項目“基于環(huán)境一號等國產(chǎn)衛(wèi)星的環(huán)境遙感監(jiān)測關(guān)鍵技術(shù)及軟件研究”，第三課題：面向環(huán)境監(jiān)測的多源遙感數(shù)據(jù)協(xié)同反演與同化技術(shù)及軟件研發(fā)研究（2008BAC34B03），課題負責(zé)人。
    （12）2007－2010，中科院知識創(chuàng)新工程重要方向項目，多源遙感數(shù)據(jù)協(xié)同反演與信息融合關(guān)鍵技術(shù)(KZCX2-YW-313)，項目負責(zé)人。
    （13）2009-2010年，中國資源衛(wèi)星中心項目：全國陸地觀測衛(wèi)星數(shù)據(jù)處理和服務(wù)設(shè)施建設(shè)項目—CBERS-03/04星全色、多光譜，紅外，WFI，MUX相機數(shù)據(jù)模擬軟件包；
    （14）2007－2009，國家自然科學(xué)基金面上項目，混合像元熱紅外輻射方向性模型及其時空尺度效應(yīng)(40671139)，項目負責(zé)人。
    （15）2003－2006，中科院知識創(chuàng)新工程重要方向項目，定量遙感應(yīng)用的幾個關(guān)鍵問題研究，第二課題：遙感估產(chǎn)運行系統(tǒng)中遙感監(jiān)測過程檢驗與精度評估(KZCX3-SW-338-2)，課題負責(zé)人。
    （16）2000-2005, 973項目, 地球表面時空多變要素的定量遙感理論及應(yīng)用, 第三課題：地球表面時空多變要素的遙感綜合反演研究(G2000077903)，課題負責(zé)人。
    （17）2001-2004, 863項目, 全國典型地物光譜數(shù)據(jù)庫，第二課題：全國典型農(nóng)作物光譜數(shù)據(jù)子庫及其應(yīng)用示范(2002AA130010-2)，課題負責(zé)人。
    （18）2004－2006，國家自然科學(xué)基金面上項目，植被組分溫度分布特征及其時空尺度效應(yīng)研究(40371087)，項目負責(zé)人。
    （19）2001-2003, 國家科技部, 863項目, 對地觀測數(shù)據(jù)處理原型系統(tǒng)關(guān)鍵技術(shù)，第三子課題：地表參數(shù)遙感綜合反演技術(shù)（2001AA135050-3），子課題負責(zé)人。
    （20）1997-2000, 國家科技部, 95攀登預(yù)選項目，地球表面能量交換的遙感定量研究（95-預(yù)-38）主要研究骨干。

    獲獎及榮譽

  • （1）2023，多源遙感高精度信息提取關(guān)鍵技術(shù)與應(yīng)用，山東省科技進步一等獎。

    （2）2022，國產(chǎn)高分十米級分析即用數(shù)據(jù)集生成技術(shù)及其應(yīng)用，北京市科技進步二等獎二等獎。

    （3）2021，復(fù)雜地表定量遙感建模及航天遙感應(yīng)用，北京市科技進步二等獎。

    （4）2021，多源協(xié)同定量遙感產(chǎn)品生成關(guān)鍵技術(shù)與應(yīng)用，測繪科技進步一等獎。

    （5）2018，國務(wù)院政府特殊津貼。

    （6）2018，定量遙感產(chǎn)品的真實性檢驗標準與技術(shù)體系，測繪科技進步一等獎。

    （7）2016，國產(chǎn)陸地衛(wèi)星定量遙感關(guān)鍵技術(shù)及應(yīng)用，國家科技進步二等獎。

    （8）2014，基于地物波譜的地表信息獲取方法與應(yīng)用，廣東省科技進步獎二等獎。

    （9）2013年，面向應(yīng)用的航天遙感軟硬一體化仿真系統(tǒng)技術(shù)與應(yīng)用示范，北京市科學(xué)技術(shù)進步獎一等獎。

    （10）2013，基于地物波譜的地表信息獲取方法與應(yīng)用，地理信息科技進步三等獎。

    （11）2002，分光偏振計，上海市科技進步二等獎。

    代表性成果

  • 1.學(xué)術(shù)論文
    [1] Han, Y., Wen,J.G*., Xiao, Q., Wu, X.D., You, D.Q., Tang, Y., Gong, B.C., Zhang, H.L.,Liu, Q.H., Zhu, W.Z., & Chen, Z.Q. (2024). Characterizing the effects ofatmospheric and land surface factors on the diurnal variation of land surfacealbedo (DVLSA) over vegetated surfaces. Solar Energy, 270, 14, https://doi.org/10.1016/j.solener.2024.112386
    [2] Li, T.C.,Xin, X.Z*., Zhang, H.L., Yu, S.S., Li, L., Ye, Z.Q., Liu, Q.H., &Cai, H. (2024). Evaluation of Six Data Products of Surface Downward ShortwaveRadiation in Tibetan Plateau Region. Remote Sensing, 16, 19, https://doi.org/10.3390/rs16050791
    [3] Bian, Z.J*., Fan, T.Y., Roujean, J.L., Wang, D.D.,Irvine, M., Wu, S.B., Cao, B., Li, H*., Du, Y.M., Xiao, Q., & Liu,Q.H. (2024). An analytical urban temperature model with building heterogeneityusing geometric optical theory. Remote Sensing of Environment, 301, 16, https://doi.org/10.1016/j.rse.2023.113948
    [4] Chu,T.J., Li, J*., Zhao, J., Gu, C.P., Mumtaz, F., Dong, Y.D., Zhang, H.,& Liu, Q.H. (2024). Regional Analysis of Dominant Factors Influencing LeafChlorophyll Content in Complex Terrain Regions Using a Geographic StatisticalModel. Remote Sensing, 16, 16, https://doi.org/10.3390/rs16030479 
    [5] He, M., Wen,J.G*., Wu, S.B., Meng, L., Lin, X.W., Han, Y., You, D.Q., Tang, Y., &Liu, Q.H. (2024). A New Forest Leaf Area Index Retrieval Algorithm Over SlopeSurface. Ieee Transactions on Geoscience and Remote Sensing, 62,18,https://doi.org/10.1109/tgrs.2023.3343876 
    [6] Hu, T*., Roujean, J.L., Cao, B., Mallick, K.,Boulet, G., Li, H., Xu, Z.H., Du, Y.M., & Liu, Q.H. (2023). Correction forLST directionality impact on the estimation of surface upwelling longwaveradiation over vegetated surfaces at the satellite scale. Remote Sensing ofEnvironment, 295, 22, https://doi.org/10.1016/j.rse.2023.113649 
    [7] Liu, C., Li,J*., Liu, Q.H., Gao, J.X., Mumtaz, F., Dong, Y.D., Wang, C., Gu, C.P.,& Zhao, J. (2023). Combined influence of ENSO and North AtlanticOscillation (NAO) on Eurasian Steppe during 1982-2018. Science of the TotalEnvironment, 892, 12, https://doi.org/10.1016/j.scitotenv.2023.164735 
    [8] Sun,G.Y., Li, Z., Zhang, A.Z., Wang, X., Yan, K*., Jia, X.P., Liu, Q.H.,& Li, J*. (2023). A 10-m resolution impervious surface area map forthe greater Mekong subregion from remote sensing images. Scientific Data, 10,9, https://doi.org/10.1038/s41597-023-02518-z 
    [9] Zhao, J.,Li, J*., Liu, Q.H., Dong, Y.D., Li, L., & Zhang, H. (2023).Assessment of Forest Ecosystem Variations in the Lancang-Mekong Region byRemote Sensing from 2010 to 2020. Sensors, 23, 17, https://doi.org/10.3390/s23229038
    [10] Liu, C., Li,J*., Liu, Q.H., Xu, B.D., Dong, Y.D., Zhao, J., Mumtaz, F., Gu, C.P., &Zhang, H. (2023). Global Comparison of Leaf Area Index Products overWater-Vegetation Mixed Heterogeneous Surface Network (HESNet-WV). RemoteSensing, 15, 21, https://doi.org/10.3390/rs15051337 
    [11] Wen,J.G., Wu, X.D*., Xiao, Q*., Liu, Q.H., Ma, M.G., Zheng, X.M., Qu,Y.H., Jin, R., You, D.Q., Tang, Y., Lin, X.W., Yu, W.P., Gong, B.C., Yang, J.,& Han, Y. (2023). Full-band, multi-angle, multi-scale, and temporal dynamicfield spectral measurements in China. Scientific Data, 10, 17, https://doi.org/10.1038/s41597-023-02265-1
    [12] Bian, Z.J*., Roujean, J.L., Fan, T.Y., Dong, Y.D., Hu,T., Cao, B., Li, H., Du, Y.M*., Xiao, Q., & Liu, Q.H*.(2023). An angular normalization method for temperature vegetation drynessindex (TVDI) in monitoring agricultural drought. Remote Sensing of Environment,284, 17, https://doi.org/10.1016/j.rse.2022.113330 
    [13] Mumtaz,F., Li, J*., Liu, Q.H., Tariq, A., Arshad, A., Dong, Y.D., Zhao, J.,Bashir, B., Zhang, H., Gu, C.P., & Liu, C. (2023). Impacts of GreenFraction Changes on Surface Temperature and Carbon Emissions: Comparison underForestation and Urbanization Reshaping Scenarios. Remote Sensing, 15, 24, https://doi.org/10.3390/rs15030859
    [14] Cai, H., Zhong,B*., Liu, H.L., Du, B.L., Liu, Q.H., Wu, S.L., Li, L., Yang, A.X., Wu,J.J., Gu, X.F., & Jiang, J.X. (2023). An improved deep learning network forAOD retrieving from remote sensing imagery focusing on sub-pixel cloud.Giscience & Remote Sensing, 60, 25, https://doi.org/10.1080/15481603.2023.2262836
    [15] Gu, C.P.,Li, J*., Liu, Q.H*., Zhang, H., Liu, L.Y., Mumtaz, F., Dong, Y.D., Zhao,J., Wang, X.H., & Liu, C. (2023). Retrieving decametric-resolution leafchlorophyll content from GF-6 WFV by assessing the applicability of red-edgevegetation indices. Computers and Electronics in Agriculture, 215, 14, https://doi.org/10.1016/j.compag.2023.108455
    [16] Mumtaz, F*., Li, J*., Liu, Q.H*., Arshad,A., Dong, Y.D., Liu, C., Zhao, J., Bashir, B., Gu, C.P., Wang, X.H., &Zhang, H. (2023). Spatio-temporal dynamics of land use transitions associatedwith human activities over Eurasian Steppe: Evidence from improved residualanalysis. Science of the Total Environment, 905,16,https://doi.org/10.1016/j.scitotenv.2023.166940 
    [17] Wu, J.J.,Li, Y., Zhong, B*., Liu, Q.H., Wu, S.L., Ji, C.Y., Zhao, J., Li, L.,Shi, X.L., & Yang, A.X. (2023). Integrated vegetation cover of typicalsteppe in China based on mixed decomposing derived from high resolution remotesensing data. Science of the Total Environment, 904,16,https://doi.org/10.1016/j.scitotenv.2023.166738 
    [18] Yu, S.S.,Xin, X.Z*., Zhang, H.L., Li, L., Zhu, L., & Liu, Q.H. (2023). ACloud Water Path-Based Model for Cloudy-Sky Downward Longwave RadiationEstimation from FY-4A Data. Remote Sensing, 15,20,https://doi.org/10.3390/rs15235531 
    [19] Zhao, J.,Li, J., Liu, Q.H*., Xu, B.D., Mu, X.H., & Dong, Y.D. (2023).Generation of a 16 m/10-day fractional vegetation cover product over Chinabased on Chinese GaoFen-1 observations: method and validation. InternationalJournal of Digital Earth, 16, 4229-4246, https://doi.org/10.1080/17538947.2023.2264815
    [20] Qin,B.X., Cao, B*., Roujean, J.L., Gastellu-Etchegorry, J.P., Ermida, S.L.,Bian, Z.J., Du, Y.M., Hu, T., Li, H., Xiao, Q., Chen, S.S., & Liu, Q.H.(2023). A thermal radiation directionality correction method for the surfaceupward longwave radiation of geostationary satellite based on a time-evolvingkernel-driven model. Remote Sensing of Environment, 294,23,https://doi.org/10.1016/j.rse.2023.113599 
    [21] Chen, Y.,Weng, Q.H., Tang, L.L*., Wang, L., Xing, H.F., & Liu, Q.H. (2023).Developing an intelligent cloud attention network to support global urban greenspaces mapping. Isprs Journal of Photogrammetry and Remote Sensing, 198,197-209,https://doi.org/10.1016/j.isprsjprs.2023.03.005 
    [22] Cao, B.,Gastellu-Etchegorry, J.P., Yin, T.G., Bian, Z.J., Bai, J.H., Fang, J.Y., Qin,B.X., Du, Y.M*., Li, H., Xiao, Q., & Liu, Q.H. (2023). Optimizingthe Protocol of Near-Surface Remote Sensing Experiments Over HeterogeneousCanopy Using DART Simulated Images. Ieee Transactions on Geoscience and RemoteSensing, 61, 16, https://doi.org/10.1109/tgrs.2023.3239423 
    [23] Dong,Y.D., Li, J*., Jiao, Z.T., Liu, Q.H., Zhao, J., Xu, B.D., Zhang, H.,Zhang, Z.X., Liu, C., Knyazikhin, Y., & Myneni, R.B. (2023). A Method forRetrieving Coarse-Resolution Leaf Area Index for Mixed Biomes Using aMixed-Pixel Correction Factor. Ieee Transactions on Geoscience and Remote Sensing,61, 17,https://doi.org/10.1109/tgrs.2023.3235949 
    [24] Li, H.,Li, R.B., Tu, H., Cao, B*., Liu, F.J., Bian, Z.J., Hu, T., Du, Y.M.,Sun, L., & Liu, Q.H. (2023). An Operational Split-Window Algorithm forGenerating Long-Term Land Surface Temperature Products from Chinese Fengyun-3Series Satellite Data. Ieee Transactions on Geoscience and Remote Sensing, 61,14, https://doi.org/10.1109/tgrs.2023.3315968 
    [25] Li, R.B.,Li, H*., Hu, T., Bian, Z.J., Liu, F.J., Cao, B., Du, Y.M., Sun, L.,& Liu, Q.H. (2023). Land Surface Temperature Retrieval from Sentinel-3ASLSTR Data: Comparison Among Split-Window, Dual-Window, Three-Channel, andDual-Angle Algorithms. Ieee Transactions on Geoscience and Remote Sensing, 61,14, https://doi.org/10.1109/tgrs.2023.3288584 
    [26] Yu, S.S*., Li, L., Cao, B., Zhang, H.L., Zhu, L., Xin,X.Z*., & Liu, Q.H. (2022). Surface downward longwave radiationestimation from new generation geostationary satellite data. AtmosphericResearch, 276, 20, https://doi.org/10.1016/j.atmosres.2022.106255 
    [27] Li, Y., Wu,J.J*., Zhong, B., Shi, X.L., Xu, K.P., Ao, K., Sun, B., Ding, X.Y., Wang,X.S., Liu, Q.H., Yang, A.X., Chen, F., & Shi, M.Q. (2022). Methods of SandyLand Detection in a Sparse-Vegetation Scene Based on the Fusion of HJ-2AHyperspectral and GF-3 SAR Data. Remote Sensing, 14, 20, https://doi.org/10.3390/rs14051203
    [28] Bian,Z.J., Lu, Y.F., Du, Y.M., Zhao, W., Cao, B.A., Hu, T., Li, R.B., Li, H*.,Xiao, Q., & Liu, Q.H. (2022). Comparison between Physical and EmpiricalMethods for Simulating Surface Brightness Temperature Time Series. RemoteSensing, 14, 24, https://doi.org/10.3390/rs14143385 
    [29] Bian, Z.J*., Wu, S.B., Roujean, J.L., Cao, B*.,Li, H., Yin, G.F., Du, Y.M., Xiao, Q., & Liu, Q.H. (2022). A TIR forestreflectance and transmittance (FRT) model for directional temperatures withstructural and thermal stratification. Remote Sensing of Environment, 268, 16, https://doi.org/10.1016/j.rse.2021.112749
    [30] Cheng,J., Wen, J.G*., Xiao, Q., Wu, S.B., Hao, D.L., & Liu, Q.H. (2022).Extending the GOSAILT Model to Simulate Sparse Woodland Bi-DirectionalReflectance with Soil Reflectance Anisotropy Consideration. Remote Sensing, 14,21, https://doi.org/10.3390/rs14041001 
    [31] Wang, C.,Li, J*., Liu, Q.H., Huete, A., Li, L.H., Dong, Y.D., & Zhao, J.(2022). Eastern-Pacific and Central-Pacific Types of ENSO Elicit DiverseResponses of Vegetation in the West Pacific Region. Geophysical ResearchLetters, 49, 10, https://doi.org/10.1029/2021gl096666 
    [32] Lin,X.W., Wu, S.B*., Chen, B., Lin, Z.Y., Yan, Z.B., Chen, X.Z., Yin, G.F.,You, D.Q., Wen, J.G., Liu, Q., Xiao, Q., Liu, Q.H., & Lafortezza, R.(2022). Estimating 10-m land surface albedo from Sentinel-2 satelliteobservations using a direct estimation approach with Google Earth Engine. IsprsJournal of Photogrammetry and Remote Sensing, 194, 1-20, https://doi.org/10.1016/j.isprsjprs.2022.09.016
    [33] Zhang,H., Li, J*., Liu, Q.H., Lin, S.R., Huete, A., Liu, L.Y., Croft, H.,Clevers, J., Zeng, Y.L., Wang, X.H., Gu, C.P., Zhang, Z.X., Zhao, J., Dong,Y.D., Mumtaz, F., & Yu, W.T. (2022). A novel red-edge spectral index forretrieving the leaf chlorophyll content. Methods in Ecology and Evolution, 13,2771-2787, https://doi.org/10.1111/2041-210x.13994 
    [34] Bian,Z.J., Qi, J.B., Gastellu-Etchegorry, J.P., Roujean, J.L., Cao, B., Li, H., Du,Y.M., Xiao, Q*., & Liu, Q.H. (2022). A GPU-Based Solution for RayTracing 3-D Radiative Transfer Model for Optical and Thermal Images. IeeeGeoscience and Remote Sensing Letters, 19, 5, https://doi.org/10.1109/lgrs.2022.3206312
    [35] Chen, Y.,Weng, Q.H*., Tang, L.L*., Liu, Q.H., & Fan, R.S. (2022). AnAutomatic Cloud Detection Neural Network for High-Resolution Remote SensingImagery with Cloud-Snow Coexistence. Ieee Geoscience and Remote SensingLetters, 19, 5, https://doi.org/10.1109/lgrs.2021.3102970 
    [36] Cheng,J., Wen, J.G*., Xiao, Q., Hao, D.L., Lin, X.W., & Liu, Q.H. (2022).Exploring the Applicability of the Semi-Empirical BRDF Models at DifferentScales Using Airborne Multi-Angular Observations. Ieee Geoscience and RemoteSensing Letters, 19, 5, https://doi.org/10.1109/lgrs.2021.3135046 
    [37] Jia, C., Sun,L*., Chen, Y.F., Liu, Q.H., Yu, H.Y., & Zhang, W.H. (2022). SatelliteAerosol Retrieval Using Scene Simulation and Deep Belief Network. IeeeTransactions on Geoscience and Remote Sensing, 60, 16, https://doi.org/10.1109/tgrs.2021.3116154
    [38] Lin,X.W., Wu, S.B.*., Hao, D.L., Wen, J.G*., Xiao, Q., & Liu,Q.H. (2022). Sloping Surface Reflectance: The Best Option for Satellite-BasedAlbedo Retrieval Over Mountainous Areas. Ieee Geoscience and Remote SensingLetters, 19, 5, https://doi.org/10.1109/lgrs.2021.3069637 
    [39] Ran,X.T., Cao, B*., Qin, B.X., Bian, Z.J., Du, Y.M., Li, H., Xiao, Q., &Liu, Q.H*. (2022). Assessment of Five Thermal Infrared Kernel-DrivenModels Using Limited Multiangle Observations. Ieee Geoscience and RemoteSensing Letters, 19, 5, https://doi.org/10.1109/lgrs.2021.3078647 
    [40] Wen,J.G., Lin, X.W*., Wu, X.D., Bao, Y.F., You, D.Q., Gong, B.C., Tang, Y.,Wu, S.B., Xiao, Q., & Liu, Q.H. (2022). Validation of the MCD43A3Collection 6 and GLASS VO4 Snow-Free Albedo Products Over Rugged Terrain. IeeeTransactions on Geoscience and Remote Sensing, 60, 11, https://doi.org/10.1109/tgrs.2022.3214103
    [41] Wen,J.G., You, D.Q*., Han, Y., Lin, X.W., Wu, S.B.A., Tang, Y., Xiao, Q.,& Liu, Q.H. (2022). Estimating Surface BRDF/Albedo Over Rugged TerrainUsing an Extended Multisensor Combined BRDF Inversion (EMCBI) Model. IeeeGeoscience and Remote Sensing Letters, 19, 5, https://doi.org/10.1109/lgrs.2022.3143197
    [42] Yu, W.T.,Li, J*., Liu, Q.H., Zhao, J., Dong, Y.D., Wang, C., Lin, S.R., Zhu,X.R., & Zhang, H. (2022). Spatial-Temporal Prediction of Vegetation Index withDeep Recurrent Neural Networks. Ieee Geoscience and Remote Sensing Letters, 19,5, https://doi.org/10.1109/lgrs.2021.3064814 
    [43] Zhao, J.,Li, J*., Liu, Q.H., Zhang, Z.X., & Dong, Y.D. (2022). ComparativeStudy of Fractional Vegetation Cover Estimation Methods Based on Fine SpatialResolution Images for Three Vegetation Types. Ieee Geoscience and RemoteSensing Letters, 19, 5, https://doi.org/10.1109/lgrs.2022.3222018 
    [44] Zhu,X.R., Li, J*., Liu, Q.H., Yu, W.T., Li, S.Z., Zhao, J., Dong, Y.D.,Zhang, Z.X., Zhang, H., & Lin, S.R. (2022). Use of a BP Neural Network andMeteorological Data for Generating Spatiotemporally Continuous LAI Time Series.Ieee Transactions on Geoscience and Remote Sensing, 60, 14, https://doi.org/10.1109/tgrs.2021.3095535 
    [45] Cao,B.A., Qi, J.B., Chen, E.X., Xiao, Q., Liu, Q.H*., & Li, Z.Y. (2021).Fine scale optical remote sensing experiment of mixed stand over complexterrain (FOREST) in the Genhe Reserve Area: objective, observation and a casestudy. International Journal of Digital Earth, 14, 1411-1432, https://doi.org/10.1080/17538947.2021.1968047
    [46] Chen, Y.,Weng, Q.H*., Tang, L.L*., Liu, Q.H., Zhang, X., & Bilal, M. (2021).Automatic mapping of urban green spaces using a geospatial neural network.Giscience & Remote Sensing, 58, 624-642, https://doi.org/10.1080/15481603.2021.1933367
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    [48] Bian,Z.J., Cao, B.A., Li, H., Du, Y.M*., Fan, W.J., Xiao, Q., & Liu, Q.H.(2021). The Effects of Tree Trunks on the Directional Emissivity and BrightnessTemperatures of a Leaf-Off Forest Using a Geometric Optical Model. IeeeTransactions on Geoscience and Remote Sensing, 59, 5370-5386, https://doi.org/10.1109/tgrs.2020.3011157
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    [50] Zhang,H.L*., Dong, X.Q., Xi, B.K., Xin, X.Z*.,Liu, Q.H., He, H.M., Xie, X.P., Li, L., & Yu, S.S. (2021). Retrieving high-resolutionsurface photosynthetically active radiation from the MODIS and GOES-16 ABIdata. Remote Sensing of Environment, 260, 15, https://doi.org/10.1016/j.rse.2021.112436
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    [54] Wu, S.B.,Zeng, Y.L*., Hao, D.L., Liu, Q.H., Li, J., Chen, X.Z., Asrar, G.R., Yin,G.F., Wen, J.G., Yang, B., Zhu, P., & Chen, M*. (2021). Quantifyingleaf optical properties with spectral invariants theory. Remote Sensing ofEnvironment, 253, 9, https://doi.org/10.1016/j.rse.2020.112131 
    [55] Yu, W.T.,Li, J*., Liu, Q.H., Zhao, J., Dong, Y.D., Zhu, X.R., Lin, S.R., Zhang,H., & Zhang, Z.X. (2021). Gap Filling for Historical Landsat NDVI TimeSeries by Integrating Climate Data. Remote Sensing, 13, 21, https://doi.org/10.3390/rs13030484
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    [57] Zhang,H., Li, J*., Liu, Q.H., Dong, Y.D., Li, S.Z., Zhang, Z.X., Zhu, X.R.,Liu, L.Y., & Zhao, J. (2021). Estimating Leaf Area Index with Dynamic LeafOptical Properties. Remote Sensing, 13, 17, https://doi.org/10.3390/rs13234898 
    [58] Lin,S.R., Li, J*., Liu, Q.H., Gioli, B., Paul-Limoges, E., Buchmann, N.,Gharun, M., H?rtnagl, L., Foltynová, L., Dusek, J., Li, L.H., & Yuan, W.P.(2021). Improved global estimations of gross primary productivity of naturalvegetation types by incorporating plant functional type. International Journal of Applied Earth Observation and Geoinformation, 100, 14, https://doi.org/10.1016/j.jag.2021.102328 
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    [212] Liu, Q.H*., Huang, H.G., Qin, W.H., Fu, K.H., & Li, X.W.(2007). An extended 3-D radiosity-graphics combined model for studyingthermal-emission directionality of crop canopy. Ieee Transactions on Geoscienceand Remote Sensing, 45, 2900-2918, https://doi.org/10.1109/tgrs.2007.902272 
    [213] Sun, G.Y., Liu, Q.H*., Liu, Q., Ji,C.Y.Y., & Li, X.M. (2007). A novel approach for edge detection based on thetheory of universal gravity. Pattern Recognition, 40, 2766-2775, https://doi.org/10.1016/j.patcog.2007.01.006
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    [215] Xin, J.F*., Tian, G.L., Liu, Q.H., & Chen, L.F. (2006).Combining vegetation index and remotely sensed temperature for estimation ofsoil moisture in China. International Journal of Remote Sensing, 27, 2071-2075,https://doi.org/10.1080/01431160500497549 
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    2.專著（參與編寫）
    （1）王琦安，柳欽火等，全球生態(tài)環(huán)境遙感監(jiān)測2021年度報告：全球陸域生態(tài)系統(tǒng)可持續(xù)發(fā)展態(tài)勢，測繪出版社，2022年06月。
    （2）王琦安，柳欽火等，全球生態(tài)環(huán)境遙感監(jiān)測2021年度報告：歐亞大陸草原生態(tài)狀況，測繪出版社，2022年06月。
    （3）王琦安，柳欽火等，全球生態(tài)環(huán)境遙感監(jiān)測2021年度報告：全球大宗糧油作物生產(chǎn)與糧食安全形勢，測繪出版社，2022年06月。
    （4）王琦安，柳欽火等，全球生態(tài)環(huán)境遙感監(jiān)測2021年度報告：全球典型湖泊生態(tài)環(huán)境狀況,，測繪出版社，2022年06月。
    （5）柳欽火，吳俊君，仲波，李靜，辛?xí)灾?，賈立等，“一帶一路”東南亞區(qū)生態(tài)環(huán)境遙感監(jiān)測，科學(xué)出版社，2019年4月。
    （6）辛?xí)灾?，張海龍，余珊珊，李麗，柳欽火等，地表輻射收支遙感方法與技術(shù)，科學(xué)出版社，2019年1月。
    （7）仲波，李宏益，柳欽火，唐娉，辛?xí)灾?，李靜等，多源協(xié)同陸表定量遙感產(chǎn)品生產(chǎn)技術(shù)與系統(tǒng)，北京：科學(xué)出版社，2018年9月。
    （8）聞建光，劉強，柳欽火，肖青，李小文，陸表二向反射特性遙感建模及反照率反演, 科學(xué)出版社，2015。
    （9）仲波，柳欽火，單小軍，穆西晗，多源光學(xué)遙感數(shù)據(jù)歸一化處理技術(shù)與方法，科學(xué)出版社，2015。
    （10）田國良、柳欽火、陳良富等，熱紅外遙感（第二版），電子工業(yè)出版社，2014。
    （11）柳欽火, 仲波, 吳紀桃, 肖志強, 王橋，環(huán)境遙感定量反演與同化，中國科學(xué)出版社, 2011。
    （12）柳欽火、辛?xí)灾?、唐娉、廖靜娟、吳炳方等，定量遙感模型、應(yīng)用及不確定性研究，科學(xué)出版社，2010。
    （13）王錦地、張立新、柳欽火、張兵、尹球等，中國典型地物波譜知識庫，科學(xué)出版社，2009。
    （14）田國良、柳欽火、陳良富、余濤、劉強、辛?xí)灾薜?，紅外遙感，電子工業(yè)出版社，2006。
    （15）李小文、汪駿發(fā)、王錦地、柳欽火，多角度與熱紅外對地遙感, 科學(xué)出版社，2001。
    3.專利授權(quán)
    （1）秦伯雄; 曹彪; 陳水森; 李丹; 杜永明; 歷華; 肖青; 柳欽火，一種糾正靜止衛(wèi)星地表溫度產(chǎn)品熱輻射方向性的方法，發(fā)明，授權(quán)號：CN115952697B，2023.06.06（發(fā)明專利權(quán)授予）
    （2）卞尊健; 李嘉昕; 范騰遠; 曹彪; 歷華; 杜永明; 肖青; 柳欽火，一種三維復(fù)雜地表葉面積指數(shù)反演方法及系統(tǒng)，發(fā)明，授權(quán)號：CN113505486B，2023.12.29（發(fā)明專利權(quán)授予）
    （3）卞尊健; 范騰遠; 李嘉昕; 曹彪; 歷華; 杜永明; 肖青; 柳欽火，一種三維復(fù)雜地表遙感光學(xué)特征反演方法及系統(tǒng)，發(fā)明，授權(quán)號：CN113516767B，2023.12.29（發(fā)明專利權(quán)授予）
    （4）柏軍華; 柳欽火; 肖青; 劉學(xué); 曹彪; 楊建，定量遙感地面試驗協(xié)同觀測方法及觀測平臺，發(fā)明，授權(quán)號：CN112857459B，2022.06.07（發(fā)明專利權(quán)授予）
    （5）卞尊健; 李嘉昕; 范騰遠; 曹彪; 歷華; 杜永明; 肖青; 柳欽火，基于輻射度的地表高分辨率光譜信息遙感反演方法，發(fā)明，授權(quán)號：CN113012276B，2021.09.24（發(fā)明專利權(quán)授予）
    （6）曹彪; 秦伯雄; 杜永明; 卞尊健; 歷華; 肖青; 柳欽火，糾正靜止衛(wèi)星地表上行長波輻射產(chǎn)品熱輻射方向性的方法，發(fā)明，授權(quán)號：CN112985607B，2021.09.24（發(fā)明專利權(quán)授予）
    （7）柏軍華; 柳欽火; 肖青; 李靜; 張召星，一種適用于野外連續(xù)觀測的植被株高自動測定方法及系統(tǒng)，發(fā)明，授權(quán)號：CN112595243B，2022.05.17（發(fā)明專利權(quán)授予）
    （8）柏軍華; 杜永明; 肖青; 柳欽火; 張召星，一種持續(xù)自動模擬植被生長狀態(tài)的方法及系統(tǒng)，發(fā)明，授權(quán)號：CN112632752B，2024.02.09（發(fā)明專利權(quán)授予）
    （9）卞尊健; 杜永明; 歷華; 曹彪; 肖青; 柳欽火，一種離散森林場景熱紅外輻射傳輸模擬方法，發(fā)明，授權(quán)號：CN112254820B，2021.04.27（發(fā)明專利權(quán)授予）
    （10）曹彪; 杜永明; 卞尊健; 歷華; 肖青; 柳欽火，一種高精度的熱輻射方向性半經(jīng)驗半物理模擬方法，發(fā)明，授權(quán)號：CN112198814B，2021.09.10（發(fā)明專利權(quán)授予）
    （11）卞尊健; 歷華; 杜永明; 曹彪; 肖青; 柳欽火，基于貝葉斯模型平均方法的地表組分溫度多算法集成算法，發(fā)明，授權(quán)號：CN112199634B，2021.05.11（發(fā)明專利權(quán)授予）
    （12）杜永明; 秦伯雄; 曹彪; 歷華; 卞尊健; 肖青; 柳欽火，一種小面元黑體擴束定標方法及系統(tǒng)，發(fā)明，授權(quán)號：CN112129420B，2021.06.15（發(fā)明專利權(quán)授予）
    （13）辛?xí)灾? 彭志晴; 柳欽火，一種用于地表變量的非均勻性時空分析方法及系統(tǒng)，發(fā)明，授權(quán)號：CN111814316B，2024.04.02（發(fā)明專利權(quán)授予）
    （14）李靜; 朱欣然; 柳欽火; 趙靜; 董亞冬，葉面積指數(shù)時間序列重建方法、裝置、設(shè)備及存儲介質(zhì)，發(fā)明，授權(quán)號：CN111723328B，2024.02.13（發(fā)明專利權(quán)授予）
    （15）李靜; 林尚榮; 柳欽火; 趙靜; 董亞冬，全球中高分辨率植被總初級生產(chǎn)力產(chǎn)品的計算方法及裝置，發(fā)明，授權(quán)號：CN111582703B，2024.04.05（發(fā)明專利權(quán)授予）
    （16）李靜; 張虎; 柳欽火; 趙靜; 董亞冬，葉片葉綠素含量反演方法、裝置、電子設(shè)備及存儲介質(zhì)，發(fā)明，授權(quán)號：CN111398178B，2023.05.16（發(fā)明專利權(quán)授予）
    （17）董亞冬; 李靜; 柳欽火; 趙靜，一種中分辨率葉面積指數(shù)產(chǎn)品的校正方法及裝置，發(fā)明，授權(quán)號：CN111402322B，2024.04.05（發(fā)明專利權(quán)授予）
    （18）柏軍華; 柳欽火; 肖青; 曹彪; 張召星，一種植被冠層垂直結(jié)構(gòu)參數(shù)測量方法、裝置及系統(tǒng)，發(fā)明，授權(quán)號：CN110849329B，2021.06.25（發(fā)明專利權(quán)授予）
    （19）辛?xí)灾? 李福根; 彭志晴; 矯京均; 柳欽火，一種遙感影像中混合像元的日蒸散量的計算方法和系統(tǒng)，發(fā)明，授權(quán)號：CN107843569B，2020.02.18（發(fā)明專利權(quán)授予）
    （20）柏軍華; 柳欽火; 肖青; 楊習(xí)榮; 孫剛，遙感地面定位試驗的多角度觀測裝置及方法，發(fā)明，授權(quán)號：CN106094886B，2019.08.06（發(fā)明專利權(quán)授予）
    （21）柏軍華; 柳欽火; 李靜; 肖青，一種作物長勢定量遙感監(jiān)測方法及系統(tǒng)，發(fā)明，授權(quán)號：CN106018284B，2018.10.30（發(fā)明專利權(quán)授予）
    （22）李麗; 杜永明; 張海龍; 柏軍華; 辛?xí)灾? 柳欽火; 肖青，一種植被冠層光合有效輻射吸收比例的觀測系統(tǒng)及方法，發(fā)明，授權(quán)號：CN104568145B，2018.02.13（發(fā)明專利權(quán)授予）
    （23）仲波; 吳善龍; 柳欽火，一種高分辨率遙感數(shù)據(jù)大氣校正方法，發(fā)明，授權(quán)號：CN102955154B，2014.04.16（發(fā)明專利權(quán)授予）
    4.國家標準
    （1）陸地定量遙感產(chǎn)品真實性檢驗通用方法.葛詠; 胡茂桂; 王江浩; 李新; 王勁峰; 張仁華; 吳驊; 柳欽火; 王新鴻; 潘志強; 劉照言.國家標準, GB/T 39468-2020, 全國遙感技術(shù)標準化技術(shù)委員會(SAC/TC 327), 2020-11-19.
    （2）植被指數(shù)遙感產(chǎn)品真實性檢驗.聞建光; 彭菁菁; 游冬琴; 劉強; 唐勇; 肖青; 柳欽火; 李新; 范聞捷; 葛詠; 吳驊; 王新鴻; 劉照言. 國家標準, GB/T 40038-2021, 全國遙感技術(shù)標準化技術(shù)委員會(SAC/TC 327), 2021-04-30. 
    （3）葉面積指數(shù)遙感產(chǎn)品真實性檢驗.李靜; 趙靜; 鄒杰; 曾也魯; 柳欽火; 李新; 方紅亮; 唐伯惠; 范聞捷; 屈永華; 穆西晗; 姜小光; 陳爾學(xué); 吳文斌; 董亞冬; 王新鴻; 劉照言; 尹高飛; 徐保東. 國家標準, GB/T 40034-2021, 全國遙感技術(shù)標準化技術(shù)委員會(SAC/TC 327), 2021-04-30.
    （4）光合有效輻射遙感產(chǎn)品真實性檢驗.李麗; 辛?xí)灾? 張海龍; 聞建光; 吳驊; 王培娟; 高彥華; 姚延娟; 仲波; 余珊珊; 柏軍華; 杜永明; 柳欽火; 劉照言; 于江豐; 龔力峰. 國家標準, GB/T 41281-2022, 全國遙感技術(shù)標準化技術(shù)委員會(SAC/TC 327), 2022-03-09.
    （5）反照率遙感產(chǎn)品真實性檢驗.游冬琴; 聞建光; 劉強; 吳小丹; 林興穩(wěn); 唐勇; 肖青; 柳欽火; 李新; 焦子銻; 范聞捷; 馬明國; 劉照言; 王新鴻. 國家標準, GB/T 41279-2022, 全國遙感技術(shù)標準化技術(shù)委員會(SAC/TC 327), 2022-03-09.
    （6）氣溶膠光學(xué)厚度遙感產(chǎn)品真實性檢驗.仲波; 吳善龍; 陳武漢; 孫林; 張玉環(huán); 孫長奎; 周春艷; 楊愛霞; 吳俊君; 柳欽火; 劉照言; 聞建光; 李麗; 孫剛; 李凱濤. 國家標準, GB/T 41535-2022, 全國遙感技術(shù)標準化技術(shù)委員會(SAC/TC 327), 2022-07-11.
    （7）地表溫度遙感產(chǎn)品真實性檢驗.李召良; 唐伯惠; 吳驊; 周成虎; 李傳榮; 邱實; 尚國琲; 錢永剛; 段四波; 劉照言; 閻廣建; 劉向陽; 范錦龍; 張仁華; 冷佩; 趙偉; 任華忠; 唐榮林; 柳欽火; 鄭小坡; 姜小光; 趙恩宇; 高懋芳; 張霞; 于文憑. 國家標準, GB/T 41534-2022, 全國遙感技術(shù)標準化技術(shù)委員會(SAC/TC 327), 2022-07-11.