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樊磊

发布时间:2021-01-26 11:26:43     作者:    浏览次数: 次

 


樊磊,教授,博导,重庆市青年拔尖人才。长期从事基于微波遥感的碳储量估算及其与气候变化的响应机理研究,参与研发首套低频被动微波卫星的植被光学厚度产品(SMOS-IC L-VOD),领导研发首套基于L-VOD的全球森林碳储量年际产品。相关成果以第一/通讯作者发表于Nature Geoscience, Nature Plants, Science Advances,RSE等学术期刊,先后主持国家自然基金项目2项,受邀担任《Journal of Remote Sensing》青年编委。


个人经历:
1.2017/08 - 2019/08法国农科院地表大气土壤研究所 (ISPA-INRA) 博士后(合作导师:Jean-Pierre Wigneron教授)
2.2013/09–2017/06 中科院遥感地球所与法国农业科学院联合培养博士(导师:李小文院士;肖青研究员;Jean-Pierre Wigneron教授)
3.2010/09–2013/07  首都师范大学资环学院 硕士
4.2006/09–2010/07  吉林大学地球科学学院 学士


研究方向:
1.植被光学厚度、土壤含水量的定量反演研究
2.森林碳汇与全球变化响应机理研究


科研项目:
1. 2022-至今  国家自然基金面上项目 《异质性地表高分辨率(1km)植被光学厚度的微波遥感反演研究》,主持
2. 2019-2021  国家自然基金青年项目 《基于贝叶斯最大熵的复杂地表高分辨率(1km)土壤水分估算方法研究》,主持
3. 2018-2020  江苏省自然基金青年项目 《江苏省高分辨率土壤水分估算方法研,主持
4. 2019-2023  国家自然基金重点项目《西南地区复杂地表陆表过程观测与模拟研究》,参与
5. 2019-2022  第二次青藏高原综合科学考察研究子专题,参与


人才项目:
1.   重庆英才•青年拔尖人才 (2022)
2.   重庆市留学人员回国创业创新支持计划 (2022)


学术成果:
2022年

1.Fan, L. *; Wigneron, J. *; Ciais, P.; Chave, J.; Brandt, M.; Sitch, S., et al. Siberian carbon sink reduced by forest disturbances. Nature Geoscience, accept. (IF=21.531)
2.Chang, Z.; Fan, L.*; Wigneron, J.;…, Yan, J.*. Estimating aboveground carbon dynamics of China using optical and microwave remote sensing datasets from 2013 to 2019. Journal of Remote Sensing, accept.
3.Fan, L.; Xing, Z. *; Lannoy, G.; Frappart F.; Peng J.; …& Wigneron, J.; Evaluation of satellite and reanalysis estimates of surface and root-zone soil moisture in croplands of Jiangsu Province, China. Remote Sensing of Environment, 2022, 282, 113283. (IF= 13.850)
4.Fan, L. *; Al-Yaari, A. *; Frappart, F.; Peng J.; Wen J.; …& Wigneron, J.; Estimating High-Resolution Soil Moisture Over Mountainous Regions Using Remotely-Sensed Multispectral and Topographic Data. IEEE JSTAR, 2022, 15, 3637-3649. (IF=4.715)
5.Li, X.; Wigneron, J.; Fan, L.; Frappart, F.; Yueh, S; ... & Ciais, P.. A new SMAP soil moisture and vegetation optical depth product (SMAP-IB): Algorithm, assessment and inter-comparison. Remote Sensing of Environment, 2022, 271, 112921. (IF= 13.850)
6.Bai, X.; Zheng, D; Liu, X.; Fan, L.; Zeng, J.; Li, X.; Simulation of Sentinel-1A observations and constraint of water cloud model at the regional scale using a discrete scattering model. Remote Sensing of Environment, 2022, 283, 113308. (IF= 13.850)
7.Li, X.; Wigneron, J.; Frappart F.; Lannoy, G.; Fan, L.; …& Ciais, P.; The first global soil moisture and vegetation optical depth product retrieved from fused SMOS and SMAP L-band observations. Remote Sensing of Environment, 2022, 282, 113272. (IF= 13.850)
8.Qin, Y.; Xiao, X.; Wigneron, J.; Ciais, P.; …Fan, L.; …& Moore III, B.; Large loss and rapid recovery of vegetation cover and aboveground biomass over forest areas in Australia during 2019–2020. Remote Sensing of Environment, 2022, 278, 113087. (IF= 13.850)
9.Liu, L.; Chen, X.; Ciais, P.; Yuan, W.; Maignan, F.; … Fan, L.; ... & Su, Y.; Tropical tall forests are more sensitive and vulnerable to drought than short forests. Global Change Biology, 2022, 28(4), 1583-1595. (IF= 13.211)
10.Yang, H.; Ciais, P.; Wigneron, J.; Chave, J.; Cartus, O.; …Fan, L.; ... & Yao, Y.; Climatic and biotic factors influencing regional declines and recovery of tropical forest biomass from the 2015/16 El Niño. Proceedings of the National Academy of Sciences of the United States of America, 2022, 119(26), 108301. (IF= 12.779)
11.Ge, Z.; Huang, J.; Wang, X.; Tang, X.; Fan, L.; … & Ma, M.; Contrasting trends between peak photosynthesis timing and peak greenness timing across seven typical biomes in Northern Hemisphere mid-latitudes. Agricultural and Forest Meteorology, 2022, 323, 109054. (IF= 6.424)
12.Liu, L.; Gong, F.; Chen, X.; Su, Y.; Fan, L.; ... & Zhou, C.; Bidirectional drought‐related canopy dynamics across pantropical forests: a satellite‐based statistical analysis. Remote Sensing in Ecology and Conservation, 2022, 8(1), 72-91. (IF= 5.787)
2021年
1.Xing, Z., Fan, L.* et al. A first assessment of satellite and reanalysis estimates of surface and root-zone soil moisture over the permafrost region of Qinghai-Tibet Plateau, Remote Sensing of Environment, 2021, 265, 112666. (IF= 13.850)
2.Y Qin, X Xiao, JP Wigneron, P Ciais, M Brandt, L Fan, … &B. Moore. Carbon loss from forest degradation exceeds that from deforestation in the Brazilian Amazon. Nature Climate Change, 2021,11 (5), 442-448. (IF=25.290)
3.M Wang, L Fan, F Frappart, P Ciais., et al. An alternative AMSR2 vegetation optical depth for monitoring vegetation at large scales. Remote Sensing of Environment, 2021, 263, 112556. (IF= 13.850)
4.X Liu, JP Wigneron, L Fan, F Frappart, et al. ASCAT IB: A radar-based vegetation optical depth retrieved from the ASCAT scatterometer satellite. Remote Sensing of Environment,2021, 264, 112587. (IF= 13.850)
5.Wigneron, J. P., Li, X., Frappart, F., Fan, L., Al-Yaari, A., ... & Moisy, C. SMOS-IC data record of soil moisture and L-VOD: Historical development, applications and perspectives. Remote Sensing of Environment, 2021, 254, 1-20. (IF= 13.850)
6.Li, X., Wigneron, J. P., Frappart, F., Fan, L., Ciais, P., ... & Moisy, C. Global-scale assessment and inter-comparison of recently developed/reprocessed microwave satellite vegetation optical depth products. Remote Sensing of Environment, 2021, 253, 112208. (IF= 13.850)
7.Wang, M., Wigneron, J., Sun, R., Fan, L., Frappart, F., ... & Ciais, P. A consistent record of vegetation optical depth retrieved from the AMSR-E and AMSR2 X-band observations. International Journal of Applied Earth Observation and Geoinformation, 2021, 105, 1-16. (IF= 7.672)
8.Yang X, Wu J, Chen X, … Fan L, … & Wright S. A comprehensive framework for seasonal controls of leaf abscission and productivity in evergreen broadleaved tropical and subtropical forests. The Innovation, 2021, 2(4): 100154.
9.Qin, Y., Xiao, X., Wigneron, J., Ciais, P., Canadell, J, …Fan, L., ... & Moore III, B. Annual maps of forests in Australia from analyses of microwave and optical images with FAO forest definition. Journal of Remote Sensing, 2021, 2021. (IF=3.168)
10.Chang, Z., Hobeichi, S., Wang, Y. P., Tang, X., Abramowitz, G., … Fan, L., ... & Yan, J. New forest aboveground biomass maps of China integrating multiple datasets. Remote Sensing, 2021, 13(15), 1-20. (IF=5.349 )
11.Chen, X., Ciais, P., Maignan, F., Zhang, Y., Bastos, A., …Fan, L., ... & Zhang, H. Vapor pressure deficit and sunlight explain seasonality of leaf phenology and photosynthesis across Amazonian evergreen broadleaved forest. Global Biogeochemical Cycles, 2021, 35(6), e2020GB006893. (IF= 6.500)
12.Yang, H., Ciais, P., Wang, Y., Huang, Y., Wigneron, J. P., …Fan, L., ... & Yu, K. Variations of carbon allocation and turnover time across tropical forests. Global Ecology and Biogeography, 2021, 30(6), 1271-1285. (IF= 6.909 )
2020年
1.Wigneron, J. *; Fan, L.*; Ciais, P.; Chave, J.; Brandt, M.; … & Fensholt, R. Tropical forests did not recover from the strong 2015-2016 El Niño event, Science Advances, 2020, 6: eaay4603. (IF=14.136)
2.A. Bastos, P. Ciais, P. Friedlingstein, S. Sitch, L Fan, et al. Asymmetric contribution of warm spring to ecosystem CO2 exchange during the extreme summer of 2018 in Europe. Science Advances, 2020. 6. (IF=12.804)
3.Li, X.; Al-Yaari, A; Schwank, M; Fan, L.; Frappart, F; Swenson, J; Wigneron, JP. Compared performances of SMOS-IC soil   moisture and vegetation optical depth retrievals based on Tau-Omega and Two-Stream microwave emission models. Remote Sensing of Environment, 2020, 236, 111502. (IF=10.164)
4.Tong, X.; Brandt, M.; Yue, Y..; Fan, L.;…,Fensholt, R. Forest management in southern China generates extensive carbon sequestration, Nature Communication, 2020, 11(1), 1-10. (IF=11.878)
5.Tagesson, T., Schurgers, G., Horion, S., Ciais, P., Tian, F., …Fan, L., ... & Fensholt, R. Recent divergence in the contributions of tropical and boreal forests to the terrestrial carbon sink. Nature Ecology & Evolution, 2020, 4(2), 202-209. (IF=10.965)
6.Al‐Yaari, A., Wigneron, J. P., Ciais, P., Reichstein, M., Ballantyne, …Fan, L., ... & Knapp, A. K. Asymmetric responses of ecosystem productivity to rainfall anomalies vary inversely with mean annual rainfall over the conterminous United States. Global Change Biology, 2020, 26(12), 6959-6973. (IF=13.211)
7.Frappart, F., Wigneron, J. P., Li, X., Liu, X., Al-Yaari, A., Fan, L., ... & Baghdadi, N. Global monitoring of the vegetation dynamics from the Vegetation Optical Depth (VOD): A review. Remote Sensing, 2020, 12(18), 2915. (IF=4.848)
2019年
1.Fan, L.; Wigneron, J. *; Ciais, P. *; Chave, J.; Brandt, M.; …& Peñuelas J. Satellite observed pantropical carbon dynamics. Nature Plants, 2019, 5 (9), 944-951 (IF=15.793)
2.Fan, L.; Al-Yaari, A.; Frappart, F., et al. Mapping soil moisture at high-resolution over mountainous regions by integrating in situ measurements, topography data and MODIS land surface temperatures. Remote Sensing, 2019, 11, 656-667. (IF=4.118)
3.Al-Yaari, A., Wigneron, J. P., Dorigo, W., Colliander, A., Pellarin, T., …Fan, L., ... & De Lannoy, G. Assessment and inter-comparison of recently developed/reprocessed microwave satellite soil moisture products using ISMN ground-based measurements. Remote sensing of environment, 2019, 224, 289-303. (IF=10.164)
2018年
1.Fan, L.; Wigneron, J. *; Alyarri, A., et al. Evaluation of microwave remote sensing for monitoring live fuel moisture content in the Mediterranean region. Remote Sensing of Environment, 2018, 205, 210-233. (IF= 13.850)
2.Brandt, M.; Wigneron, J.-P.; Chave, J.; Tagesson, T.; Penuelas, J.; … Fan, L.; …& Fensholt, R. Satellite passive microwaves reveal recent climate-induced carbon losses in African drylands. Nature ecology & evolution, 2018, 2, 827. (IF=10.965)
2017年以前
1.Fan, L.; Xiao, Q.; Wen, J., et al. Mapping High-Resolution Soil Moisture over Heterogeneous Cropland Using Multi-Resource Remote Sensing and Ground Observation. Remote Sensing, 2015, 7, 13273-13297. (IF=4.118)
2.Fan, L.; Xiao, Q.; Wen, J., et al. Evaluation of the Airborne CASI/TASI Ts-VI Space Method for Estimating Near-Surface Soil Moisture. Remote Sensing, 2015, 7, 3114-3137. (IF=4.118)


社会服务:
1.团队碳储量产品服务于全球多个地区碳循环研究,支撑7篇Science/Nature子刊发表,作为唯一植被碳储量数据服务于Carbon Monitor在线监测平台。
2.服务重庆生态修复工程,联合主持完成《重庆市国土空间生态修复碳储量遥感监测与评估报告》(2022)


学术兼职:
1.《Journal of Remote Sensing》青年编委
2.《遥感技术与应用》 青年编委
3.担任Int J Appl Earth Obs Geoinf,Remote Sensing 专刊Editor
4.Global Change Biology, Remote Sensing of Environment等学术期刊审稿人


研究小组:
讲师2名(VOD森林碳汇方向)
在读博士生3名(高分辨率VOD反演;VOD森林扰动研究);
在读硕士生4名(高分辨率VOD反演;森林碳汇与干旱响应)。
毕业博士1名(中国森林碳储量估算研究)。


博士后/博士/硕士研究生招生专业:地图学与地理信息系统
通讯地址:重庆市北碚区天生路2号西南大学地理科学学院619室
电子邮箱:
leifan33@swu.edu.cn