中文

姜海兰
Source: Time:2022-10-11 Browse:

姓名

姜海兰

性别


出生年月


职称


行政职务


研究生导师


E-mail

jianghailansea@163.com

联系电话


通讯地址

安徽省合肥市屯溪路193号

邮编

230009

个人简介

姜海兰,女,内蒙古赤峰人,地图学与地理信息系统专业博士。

2022年1月毕业于北京师范大学地理科学学部遥感科学与工程研究院,师从阎广建教授,获理学博士学位;读博期间获国家留学基金管理委员会资助,公派前往苏黎世大学进行博士研究生联合培养。

主要从事激光雷达植被遥感研究,在IEEE Transactions on Geoscience and Remote Sensing等期刊发表多篇论文。

研究领域

定量遥感机理研究;基于激光雷达点云和全波形数据的植被结构参数估算.

教学工作

科研工作

[1]基于波形模拟的森林垂直分层叶面积指数机载激光雷达反演研究(No.4230010024),2024-2026,国家自然科学基金青年基金,主持.

[2]森林冠层聚集效应垂直分布特征研究(No. OFSLRSS202318), 2023-2025,遥感科学国家重点实验室开放课题,主持.

[3] “陆表智慧化定量遥感的理论与方法研究”之“主被动协同遥感建模与碳循环植被结构参数智慧反演”(No. 42090013),国家自然科学基金重大项目,员工参与.

论著获奖

1. Jiang, H., Cheng, S., Yan, G., Kuusk, A., Hu, R., Tong, Y., Mu, X., Xie, D., Zhang, W., Zhou, G., Morsdorf, F., 2022. Clumping Effects in Leaf Area Index Retrieval from Large-Footprint Full-Waveform LiDAR. IEEE Trans. Geosci. Remote Sens. 60. https://doi.org/10.1109/TGRS.2021.3118925

2. Jiang, H., Yan, G., Tong, Y., Cheng, S., Yang, X., Hu, R., Li, L., Mu, X., Xie, D., Zhang, W., Zhou, G., Morsdorf, F., 2021b. Correcting Crown-Level Clumping Effect for Improving Leaf Area Index Retrieval from Large-Footprint LiDAR: A Study Based on the Simulated Waveform and GLAS Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 14, 12386–12402. https://doi.org/10.1109/JSTARS.2021.3130738

3. Jiang, H., Hu, R., Yan, G., Cheng, S., Li, F., Qi, J., Li, L., Xie, D., Mu, X., 2021a. Influencing factors in estimation of leaf angle distribution of an individual tree from terrestrial laser scanning data. Remote Sens. 13. https://doi.org/10.3390/rs13061159

4. Yan, G.,Jiang, H., Luo, J., Mu, X., Li, F., Qi, J., Hu, R., Xie, D., Zhou, G., 2021. Quantitative Evaluation of Leaf Inclination Angle Distribution on Leaf Area Index Retrieval of Coniferous Canopies. J. Remote Sens. 2021, 1–15. https://doi.org/10.34133/2021/2708904

5. Hu, R., Bournez, E., Cheng, S.,Jiang, H., Nerry, F., Landes, T., Saudreau, M., Kastendeuch, P., Najjar, G., Colin, J., Yan, G., 2018. Estimating the leaf area of an individual tree in urban areas using terrestrial laser scanner and path length distribution model. ISPRS J. Photogramm. Remote Sens. 144, 357–368. https://doi.org/10.1016/j.isprsjprs.2018.07.015

6. Yan, G., Hu, R., Luo, J., Weiss, M.,Jiang, H., Mu, X., Xie, D., Zhang, W., 2019. Review of indirect optical measurements of leaf area index: Recent advances, challenges, and perspectives. Agric. For. Meteorol. 265, 390–411.

7. Li, L., Mu, X.,Jiang, H., Chianucci, F., Hu, R., Song, W., Qi, J., Liu, S., Zhou, J., Chen, L., 2023. Review of ground and aerial methods for vegetation cover fraction (fCover) and related quantities estimation: definitions, advances, challenges, and future perspectives. ISPRS J. Photogramm. Remote Sens. 199, 133–156.

8. Zheng, Z., Zeng, Y., Schuman, M.C.,Jiang, H., Schmid, B., Schaepman, M.E., Morsdorf, F., 2022. Individual tree-based vs pixel-based approaches to mapping forest functional traits and diversity by remote sensing. Int. J. Appl. Earth Obs. Geoinf. 114. https://doi.org/10.1016/j.jag.2022.103074

9. 阎广建,姜海兰,闫凯,程诗宇,宋婉娟,童依依,刘雅楠,漆建波,穆西晗,张吴明, 2021.多角度光学定量遥感.遥感学报, 25(1), 83–108.

10. 颉耀文,姜海兰,王学强,马宗义,陈云海. 1963-2012年间额济纳绿洲的时空变化.干旱区地理[J]. 2014, 37(4):786-792.