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. |