团队依托西南山地森林资源保育与利用教育部重点实验室、林学院、云南省跨境森林保护空间智能工程国际联合实验室,由云南省森林灾害监测与预警创新团队、云南省研究生导师团队核心成员组成。团队成员入选云南省师德标兵1人、云南省中青年学术带头人1人、云南省技术创新人才1人,云南省青年科技奖1人,云南省万人计划“青年拔尖”3人,兴滇英才支持计划“产业创新人才”2人、青年人才1人,“西林学者”1人。
团队聚焦于空间高新技术、地理人工智能(GeoAI)、资源环境大数据等与林学交叉融合,开展复杂山地生态系统的智能监测评估、保护及数智开发利用创新研发,服务面向中国西南山地、南亚与东南亚及“一带一路”地区的森林资源及生物多样性保护和林业可持续发展。近五年主持各类科研项目30余项,其中国家重点研发计划课题1项,面向南亚与东南亚创新中心省重点研发计划2项,国家自然科学基金项目15项,其他省部级项目14项,累计在研经费2336.50万元。成果获得省部级科技奖励15项,授权发明专利13项、转化3项,实用新型专利11项,软件著作权10件,发表学术论文近500篇,其中SCI/EI收录60余篇,出版著作10部。团队成果在卫星林火监测预警与防控数智化、卫星遥感大数据生物多样性综合监管与评估、森林立体化监测与智能化经营管理、以及高分辨率卫星林业遥感分类等研究,达到国内外领先水平。

(一)研究方向
方向1:森林系统智能感知与仿真
以卫星遥感为主导,融合无人机、物联传感器、地面监测数据,研建森林资源及环境遥感新技术和新方法,形成森林资源(表型特征及成分、结构与组成等)和森林环境(光、热、水、肥、土、气、地、生、人)的遥感反演和地理模拟技术体系,搭建森林系统场景卫星底图框架,形成数字孪生与仿真平台,为林学多学科数智化分析与研究提供基础。
方向2:基于GeoAI的森林资源-环境耦合机制研究
基于孪生森林系统,研究森林结构-功能-环境耦合关系,开展共性的地理空间大数据建模、森林全周期经营及多目标协同AI决策分析、林分全生命过程生长模拟研究,面向精准林业、森林防火、有害生物管理、保护地监管、森林培育、经济林及林下经济开发、智能选育、生物多样性保护等提供数智化方法与手段。
方向3:数智林业系统及智能装备研发
以精准、高效为目标,面向森林资源保护与林业可持续发展需求,研究全行业、全链条的林业数字化业务体系,集成森林智能感知、风险预警及经营与决策管理的数智化业务系统,开发互联网+手机APP+WebGIS软件,研发数字化、电子化设备装备,为智慧林业及产业发展提供技术工具。
(二)在研项目
[1]国家自然科学基金,高原湖泊流域水环境演变与农村城镇化的耦合机制研究,32160405,2022.1-2025.12,35万元.
[2]国家自然科学基金地区基金项目,融合多源遥感特征的云南火灾后森林恢复时空动态监测,32260391,2024.01-2026.12,32万元.
[3]国家自然科学基金委,面向高效和安全扑救决策的森林火灾场景自动识别研究,32360392,2024.01-2027.12,32万元.
[4]科技部“十四五”国家重大研发子课题——典型丛生竹资源及碳储量的时空监测技术(2023YFD220120504),2023.12-2028.11,19.13万元。
[5]国家林业和草原局,人为林草火灾综合测报关键技术及发生预警GIS平台,2023133128,2023.01-2025.12,25万元.
[6]云南省科技厅,云南省天然橡胶智慧监测和数字化应用国际联合实验室,202403AP140001,2024.09-2026.08,530万元.
[7]云南省科技厅,建设面向南亚东南亚科技创新中心专项,云南省跨境森林保护空间智能工程国际联合实验室,202503AP140004,2025.07-2028.06,300万元.
[8]云南省重点研发计划课题,面向云南自然资源生态环境监测及智慧治理的关键技术研究,202202AD080010,2022.01-2025.12,290万元.
[9]普洱市生态环境局江城分局/云南省生态环境厅环保专项(省对下),普洱市江城县生物多样性保护与社区多样化发展示范工程项目,2025.05-2026.05,189.5万.
[10]云南省科技厅,云南省李伟院士工作站,202505AF350082,2025.06-2028.05,180万元.
[11]云南省“兴滇英才支持计划”产业创新人才,XDYC-CYCX-2024-0021,2024.11-2029.10,180万元.
[12]云南省发改委,云南省兴滇英才产业创新项目—西南山地野火监测预警与应急处置关键技术研究,YFGRC202419,2025.01-2029.12,180万元.
[13]云南省“兴滇英才支持计划”青年人才项目,基于碳汇估算的云南省岩溶石漠化地区人地耦合关系研究,2023.11—2028.10,144万元.
[14]云南省农业联合重点项目,集成多源遥感数据的油橄榄生物量估测研究,202301BD070001-160,2024.01-2026.12,50万元.
[15]云南省基础研究计划重点项目,山地森林植被遥感制图与更新关键技术研究,202501AS070090,2022.01-2025.12,50万元.
[16]云南省科技厅,松材线虫病人为扩散传播作用机制及预警研究,202301BD070001-245,2024.06—2027.5,10万元.
[17]云南省科技厅,云南省外专重点项目,基于AFDRS的西南山地野火防控数字孪生研究,202505AO120055,2025.01-2026.12,10万元.
[18]云南省基础研究面上项目,西南地区珍稀濒危乔木物种丰富度格局及保护优先区研究, 202401AT070294, 2024.03—2027.02,10万元.
[19]云南省科技厅,农业联合重点,基于深度学习无人机高光谱协同LiDAR数据的云南松松材线虫早期预警研究,202301BD070001-002,2023.01-2025.12,50万元。
[20]云南省基础研究面上项目,耦合多源遥感和多阶段多目标抽样的森林活可燃物载量监测及控制,202501AT070244,2025.03-2028.02,10万元.
[21]云南省科技厅,建设面向南亚东南亚科技创新中心专项,云南省国际科技特派员,202503AK140031,2025.7—2027.6,10万元.
(三)代表性论文著作
[1]叶江霞,吴明山.地理信息系统导论[M]. 清华大学出版社(第5版).50万字,ISBN:978730232716,2013.
[2]岳彩荣,舒清态,叶江霞等.基于遥感技术的香格里拉县森林景观变化及生物量估测研究[M] .云南科技出版社, ISBN:9787541680411.2014.
[3]张超.森林经理学实习教程[M]. 北京:高等教育出版社, 268千字, ISBN:9787040609226, 2023.
[4]张超,杨思林.林业无人机遥感[M]. 北京:中国林业出版社,446千字,ISBN:9787521914788, 2022.
[5]叶江霞, 王敬文, 张明莎, 周汝良, 石雷.基于空间矩阵模型及0~1测度的美国白蛾风险格局分析[J].林业科学, 2021, 57(01):140-152.
[6]曹国军,李嘉昕,赵凤君,叶江霞*等.森林计划烧除PM2.5排放时空过程模拟及其对空气质量的影响[J]. 林业科学, 2022, 58(8):58-76.
[7]唐继敏,殷晓洁*,高伟杰等.气候变化下中国珍稀濒危柏科树种潜在适生区分布[J]. 中南林业科技大学学报,2024,44(8): 49-61.
[8]虞亚楠,陈佳卉,殷晓洁*,陆双飞.气候变化对中国西南地区主要桦木科乔木树种潜在地理分布的影响[J].东北林业大学学报, 2024, 52(02): 43-51.
[9]陈兵,赵凤君,范太云,叶江霞*等.西昌市森林防火综合阻隔网空间布局[J/OL].林业科学, 2023, 59(9):127-138 .
[10]崔中耀,赵凤君,赵爽,叶江霞*等. 基于多光谱无人机及机器学习的林木火灾受损信息提取研究[J]. 自然灾害学报, 2024, 33(1):100-108.
[11]徐有城,万兴永,陈兵,赵凤君,刘晓东,叶江霞*.基于精细化风速场模拟的山地林火蔓延[J].林业科学, 2025, 61(04):56-68.
[12]苏维,尹俊玥,叶江霞*,周汝良,温庆忠,王磊,李元杰,赵俊.基于尺度转换与重构的 FY-3B 林火监测影像可视化增强研究[J/OL].南京林业大学学报(自然科学版),1-12
[13]王雷光,耿若筝,代沁伶,等.高光谱-LiDAR融合的条件随机场分类方法[J].红外与激光工程,2021,50(12):562-573.
[14]Jiangxia Ye, Mingshan Wu, Zhongjian Deng, et al.Modeling the spatial patterns of human wildfire ignition in Yunnan province, China[J]. Applied Geography, 2017, 89150-162.(中科院:二区,IF:4.24)
[15]Lei Kong, Luojun Wu, Jun Liu, etc. Ensemble algorithms for modeling forest live fuel loads and multivariate probability proportional to size sampling in Kunming, Yunnan, China[J].Journal of Cleaner Production, 2023, 425(中科院:一区,IF:10.7)
[16]Wang Wenquan, Zhao Funjun, Wang Yanxia, Huang Xiaoyuan,Ye Jiangxia*. Seasonal differences in the spatial patterns of wildfire drivers and susceptibility in the southwest mountains of China[J].Science of the total environment,2023(869),161782-161782(中科院:二区, IF:8.0)
[17]Wang Wenquan,Fang Xiangyang, Wei Xiangyang*, Ye Jiangxia*. Optimized stratification approach enhances the weight-of-evidence method: Transparently uncovering wildfire probability and drivers-wildfire relationships in the southwest mountains of China[J].Ecological Indicators.2024(158),111500.(中科院:二区,IF: 6.9)
[18]Ye Jiangxia, Quan, Wenbin, Zhou Ruliang,etc. Modeling human transmissibility via nighttime light remote sensing for Hyphantria cunea propagation pattern prediction[J]. Ecological Informatics. 2024(80),102522. (中科院:二区,IF: 5.1)
[19]Wenlong Yang, Mingshan Wu, Jiangxia Ye*. A spatial weight sampling method integrating the spatiotemporal pattern enhances the understanding of the occurrence mechanism of wildfires in the southwestern mountains of China[J], Forest Ecology and Management,2025(585),122619(中科院:一区,IF:3.7)
[20]Zhu, Xinkun, Guojiang Zhang, Bo Xiang, Jiangxia Ye*, Lei Kong, Wenlong Yang, Mingshan Wu, et al.Enhancing Wildfire Monitoring withSDGSAT-1: A Performance Analysis.Remote Sens. 2025, 17(19):3339.(中科院:二区, IF:3.7).
[21]Fu, Haoyu, Yang Ruiqi, Chen Nan, Wang Leiguang,et al. OMRF-HS: Object Markov Random Field With Hierarchical Semantic Regularization for High-Resolution Image Semantic Segmentation[J].IEEE Transactions on Geoscience and Remote Sensing, 2025:63.(中科院:一区,IF:8.6).
[22]Peirou Yang, Zhipeng Zhao, Lisha Nie, Weiheng Xu, Yunhan Li & Leiguang Wang. Spatiotemporal dynamics of ecological plantations of Camellia sinensis var. assamica: Synergistic effects of climate change and policy constraints in Yunnan, China[J].Industrial Crops & Products,2025(231),121138-121138.
[23]Jun Wang,Chen Zheng,Haoyu Fu,Yili Zhao,Qinling Dai,Xin Huang... & Leiguang Wang.Object based Markov random field model for hierarchical semantic segmentation of remote sensing imagery[J].International Journal of Digital Earth,2025, 18(1).
[24]Ruicheng Hong,Xilong Zhu,Cheng Ma,Shiying Xu,Jin Wang,Hongsheng Wang... & Qiuhua Wang.The effect of prescribed burning on the growth and regeneration of Pinus yunnanensis[J].Forest Ecology and Management,2025,(578):122460-122460.
[25]Fang Panfei,Ou Guanglong,Li Ruonan,Wang Leiguang,Xu Weiheng,Dai Qinling & Huang Xin.Regionalized classification of stand tree species in mountainous forests by fusing advanced classifiers and ecological niche model[J].GIScience & Remote Sensing, 2023, 60(1).
[26]Baokun Feng,Chen Zheng,Wanqiu Zhang,Leiguang Wang & Cairong Yue. Analyzing the role of spatial features when cooperating hyperspectral and LiDAR data for the tree species classification in a subtropical plantation forest area[J].Journal of Applied Remote Sensing, 2020, 14(2): 022213.
[27]Zheng Chen, Zhang Yun,Wang Leiguang. Multigranularity Multiclass-Layer Markov Random Field Model for Semantic Segmentation of Remote Sensing Images[J].IEEE Transactions on Geoscience and Remote Sensing, 2020, PP(99):1-20.
[28]Yalan Zheng,Qinling Dai, Zhigang Tu, Leiguang Wang.Guided Image Filtering-Based Pan-Sharpening Method: A Case Study of GaoFen-2 Imagery[J].International Journal of Geo-Information, 2017, 6(12):404.
[29]Shu Qingtai, Xi Lei, Wang Keren,et al.Optimization of Samples for Remote Sensing Estimation of Forest Aboveground Biomass at the Regional Scale[J].Remote Sensing,2022,14(17):4187-4187.
[30]Lei Xi, Qingtai Shu*, Yang Sun, Jinjun Huang, and Hanyue Song. Carbon storage estimation of mountain forests based on deep learning and multisource remote sensing data[J]. Journal of Applied Remote Sensing 2023,17(1):014510.
[31]Xi Lei, Li Linxia, Shu Qingtai, Sun Yang, Huang Jinjun, Song Hanyue. Forest Terrain Inversion Based on Icesat-2/ATLAS with Different Laser Intensities[J].Polish Journal of Environmental Studies, 2023, 32(1).
[32]Jinge Yu; Hongyan Lai; Li Xu; Shaolong Luo; Wenwu Zhou; Hanyue Song; Lei Xi; Qingtai Shu, "Estimation of Forest Canopy Cover by Combining ICESat-2/ATLAS Data and Geostatistical Method/Co-Kriging, in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 1824-1838, 2023.
[33]Yongke Sun*, Yong Cao, Weili Kou∗, et al. , Local Classification Guiding Attention for Malania oleifera, Recognition. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, SCI, 二区,IF:5.3, 18: 20441-20451 (2025).
[34]Li, Caihui, Bangqian Chen, Xincheng Wang,et al. 2025. "Integrating Multi-Temporal Landsat and Sentinel Data for Enhanced Oil Palm Plantation Mapping and Age Estimation in Malaysia" Remote Sensing 17, no. 16: 2908.
[35]Yungang He(*),Weili Kou(*),Ning Lu,et al. Modeling Whole-Plant Carbon Stock in Olea europaea L. Plantations Using Logarithmic Nonlinear Seemingly Unrelated Regression, Agronomy 2025, 15(4), 917(中科院二区, IF:3.3).
[36]Wenna Miao, Xiong Yin, Jiayue Gao, and Weiyu Zhuang. 2025. "Mapping Burned Forest Areas in Western Yunnan, China, Using Multi-Source Optical Imagery Integrated with Simple Non-Iterative Clustering Segmentation and Random Forest Algorithms in Google Earth Engine" , Remote Sensing 17, no. 5: 741. (中科院二区,IF:4.2).
[37]Peichun Suo*, Jincan Zhu*, Weili Kou*, et al. YOLOv9-AAG: Distinguishing Birds and Drones in Infrared and Visible Light Scenarios, IEEE Access, (2025):13, (IF:2.9).
[38]Xun Zhao, Jianbo Qi, Haifeng Xu, et al. Evaluating the potential of airborne hyperspectral LiDAR for assessing forest insects and diseases with 3D Radiative Transfer Modeling,Remote Sensing of Environment,297(2023),113759.
[39]Zhao X , Qi J , Yu Z ,et al.Fine-Scale Quantification of Absorbed Photosynthetically Active Radiation (APAR) in Plantation Forests with 3D Radiative Transfer Modeling and LiDAR Data[J].Plant Phenomics, 2024(2).
[40]Zhao X , Qi J , Jiang J ,et al.Fine-scale retrieval of leaf chlorophyll content using a semi-empirically accelerated 3D radiative transfer model[J].International Journal of Applied Earth Observation and Geoinformation, 2024, 135(000).