教育经历
  • 2011-9 — 2014-6
    中国科学院大学
    生态学
    管理学博士学位
  • 2008-9 — 2011-6
    山东科技大学
    摄影测量与遥感
    工学硕士学位
  • 2004-9 — 2008-6
    山东科技大学
    测绘工程
    工学学士学位
工作经历
  • 2022-02 — 至今
     山东大学 环境研究院 副教授 
    副教授
  • 2020-11 — 2022-02
     中国科学院沈阳应用生态研究所 副研究员 
    副研究员
  • 2019-11 — 2020-11
     中国科学院沈阳应用生态研究所 项目副研究员 
    项目副研究员
  • 2017-09 — 2018-09
     University of Kentucky 访问学者 
  • 2014-07 — 2019-11
     中国科学院沈阳应用生态研究所 助理研究员 
    助理研究员
研究概况

主要从事环境扰动与生态系统响应、气候变化与森林健康等领域的研究

研究方向

1.森林结构与功能参数遥感反演

2.气候变化、火干扰与生态系统弹性关系

3.野-城交界域(WUI)火灾的风险、环境效应

论文成果

(1) Disentangling the Influential Factors Driving NPP Decrease in Shandong Province: An Analysis from Time Series Evaluation Using MODIS and CASA Model.Remote Sensing.2024,16 (1966):1:26

(2) Evaluating the long-term effects of near-natural restoration on post-fire forest dynamics in a wildland-urban interface landscape.Ecological Indicators.2024,160 (2024)

(3) Remote sensing retrieval and driving analysis of phytoplankton density in the large storage freshwater lake: A study based on random forest and Landsat-8 OLI.Journal of Contaminant Hydrology.2024,261 (2024)

(4) Chen Z., Zhang C., Li W., Gao L., Liu L., Fang L.*, Zhang C.*.Fire danger forecasting using machine learning-based models and meteorological observation: a case study in Northeastern China.Multimedia Tools and Applications.2023

(5) Dong X., Zhang C.*, Fang L.*， Yan Y..A deep learning based framework for remote sensing image ground object segmentation.Applied Soft Computing.2022,130

(6) Zong X., Tian X.*, Fang L.*.Assessing wildfire risk and mitigation strategies in Qipanshan, China.International Journal of Disaster Risk Reduction.2022,80

(7) Fang，L.，Y. Yu，G. Fang，X. Zhang，Z. Yu，X. Zhang，E. V. Crocker，and J. Yang*.Effects of meteorological factors on the defoliation dynamics of larch caterpillar (Dendrolimus superans Butler) in the Great Xing’an boreal forests.Journal of Forestry Research.2021,32 (6):2683-2697

(8) Fang，L.，J. Yang*，W. Zhang，W.D. Zhang，Q. Yan.Estimating Tree Biomass Combining Allometry and Landsat-derived Disturbance History in Subtropical Planted Forests.Remote Sensing of Environment.2019,235 (111423):1-16

(9) Fang，L.，E. V. Crocker，J. Yang， Y. Yan，Y. Yang，and Z. Liu*.Competition and Burn Severity Determine Post-Fire Sapling Recovery in a Nationally Protected Boreal Forest of China: An Analysis from Very High-Resolution Satellite Imagery.Remote Sensing.2019,11 (603)

(10) Fang，L.，J. Yang*，M. White，and Z. Liu..Predicting potential fire severity using vegetation，topography and surface moisture availability in a Eurasian Boreal Forest Landscape.Forests.2018,9 (3)

(11) Fang，L.，J. Yang*，J. Zu，G. Li，and J. Zhang..Quantifying influences and relative importance of fire weather，topography，and vegetation on fire size and fire severity in a Chinese boreal forest landscape.Forest Ecology and Management.2015

(12) Fang，L.， J. Yang*.Atmospheric effects on the performance and threshold extrapolation of multi-temporal Landsat derived dNBR for burn severity assessment.International Journal of Applied Earth Observation and Geoinformation.2014,33 :10-20

(13) Yuan, Z., A. Ali, A. Sanaei, P. Ruiz-Benito, T. Jucker, L. Fang, E. Bai, J. Ye, F. Lin, S. Fang, Z. Hao, X. Wang*.Few large trees, rather than plant diversity and a composition, drive the above-ground biomass stock and dynamics of temperate forests in northeast China.Forest Ecology and Management.2021,481 (118698)

(14) Liu，X.，Yu，L.*, Dong，Q., Peng，D.，Wu，W.，Yu，Q.，Cheng，Y.，Xu，Y.，Huang，X.，Zhou， Z.，Wang，D.，Fang，L., and Gong，P..Cropland heterogeneity changes on the Northeast China Plain in the last three decades (1980s–2010s).PeerJ.2020,8 (e9835)

(15) Gong，P.，Chen，B.，Li，X.，Liu，H.，Wang，J.， Bai，Y.， Chen，J.，Chen， X.，Fang，L.，& Feng，S. etc..Mapping essential urban land use categories in China (EULUC-China): preliminary results for 2018.Science Bulletin.2020,65 :182-187

(16) Zhao，Y.，D. Feng，L. Yu*，Y. Cheng，M. Zhang，X. Liu，Y. Xu，L. Fang，Z. Zhu，and P. Gong*.Long-Term Land Cover Dynamics (1986–2016) of Northeast China Derived from a Multi-Temporal Landsat Archive.Remote Sensing.2019,11 (599)

(17) Gurung，K.，J. Yang*， and L. Fang.Assessing Ecosystem Services from the Forestry-Based Reclamation of Surface Mined Areas in the North Fork of the Kentucky River Watershed.Forests.2018,9 (652)

(18) Wu，Z.*，H. S. He，L. Fang，Y. Liang，and R. A. Parsons.Wind speed and relative humidity influence spatial patterns of burn severity in boreal forests of northeastern China.Annals of Forest Science.2018,75 (3)

(19) Zhao，F.，L. Qi，L. Fang，and J. Yang*.Influencing factors of seed long distance dispersal on a fragmented forest landscape on Changbai Mountains, China.Chinese Geographical Science.2015,26

(20) 闫妍，覃金华，房磊*，胡宝清，伊坤朋，陈龙池.湖南省植被净初级生产力时空动态及其与气候因素的关系.生态学杂志.2022,41 (8):1535-1544

(21) 乔泽宇，房磊*，张悦楠，杨健，江涛，袁昊.2001--2017 年我国森林火灾时空分布特征.应用生态学报.2020,31 (1):55-64

(22) 张悦楠，房磊*，乔泽宇，陈龙池，张伟东，郑晓，江涛.亚热带常绿林型遥感识别及尺度效应.生态学杂志.2020,39 (5):1636-1650

(23) 张文秋，房磊*，杨健，张伟东，闫妍，闫巧玲.基于 Landsat 时间序列的湖南省会同县杉木人工林干扰历史重建与林龄估算.生态学杂志.2018,37 (11):3467-3479

(24) 苏佳佳，刘志华*，焦珂伟，于 跃，李凯莉，吕秋爽，房磊，王文娟.气候变化对中国林火干扰空间格局的影响.生态学杂志.2021,40 (12):3810-3821

(25) 张月，袁泉，房磊，韩艳刚，朱琪，齐麟，周旺明，周莉，于大炮*.长白山自然保护区高海拔云冷杉林NPP时空格局及驱动因子.生态学杂志.2021,40 (11):3483-3492

(26) 陈宝，刘志华*，房磊.基于多端元光谱混合分析方法研究大兴安岭火后植被盖度恢复.生态学报.2019,22 :1-9

(27) 袁昊，陈宏伟，齐麟，房磊，乔泽宇，赵福强*.基于 Landsat影像大兴安岭地区林火烈度时空格局分析.林业资源管理.2019 (6):91-96

(28) 邱嘉琦，房磊，杨健*.基于遥感的东北植被物候沿城乡梯度变化.生态学杂志.2017,36 (6):1699-1707

(29) 于跃，房磊，方国飞，王凤霞，杨健*.气象因子对落叶松毛虫种群数量的影响.应用生态学报.2016,27 (9):2839-2847

(30) 马望，房磊，方国飞，于跃，张旭，杨健*.基于最大熵模型的神农架林区华山松大小蠹灾害遥感监测.生态学杂志.2016,35 (8):2122-2131

(31) 于跃，房磊，王凤霞，马望，佟艳丰，杨健*.落叶松毛虫发生的空间分布及其影响因子.生态学杂志.2016,35 (5):1285-1293

专利

1. 基于多特征融合孪生网络的人类活动检测方法及系统

2. 一种浒苔绿潮遥感监测方法及系统

3. 一种基于深度学习的人类活动检测方法及系统

4. 基于耦合卡尔曼滤波数据同化的水质预测方法及系统

5. 基于多元光学特征融合的紫菜养殖区遥感提取方法及系统

学生信息

1.霍兆涵

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