Publication
Research direction
Papers
(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 Lei.
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 Lei.
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
.Remote Sensing
.2019
,11
(603)
(10)Fang Lei.
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
Patens
