一、代表性论文

Yang, P.*, van der Tol, C., Liu, J., & Liu, Z. (2025). Separation of the direct reflection of soil from canopy spectral reflectance. Remote Sensing of Environment, 316, 114500 https://doi.org/10.1016/j.rse.2024.114500 

Yang, P.*, 2024. Downscaling canopy photochemical reflectance index to leaf level by correcting for the soil effects. Remote Sensing of Environment, 311, p.114250.  https://doi.org/10.1016/j.rse.2024.114250

Yang, P. *, (2022), Exploring the interrelated effects of soil background, canopy structure and sun-observer geometry on canopy photochemical reflectance index. Remote Sensing of Environment, 279, 113133. https://doi.org/10.1016/j.rse.2022.113133

Yang, P., Prikaziuk, E., Verhoef, W., & van Der Tol, C.* (2021). SCOPE 2.0: A model to simulate vegetated land surface fluxes and satellite signals. Geoscientific Model Development, 14(7), 4697-4712. https://doi.org/10.5194/gmd-14-4697-2021

Yang, P.*, Van der Tol, C., Campbell, P. K., & Middleton, E. M. (2021). Unravelling the physical and physiological basis for the solar-induced chlorophyll fluorescence and photosynthesis relationship. Biogeosciences, 1-32.https://doi.org/10.5194/bg-18-441-2021

Yang, P.*, Verhoef, W., Prikaziuk, E., & van der Tol, C. (2021). Improved retrieval of land surface biophysical variables from time series of Sentinel-3 OLCI TOA spectral observations by considering the temporal autocorrelation of surface and atmospheric properties. Remote Sensing of Environment, 256, 112328.https://doi.org/10.1016/j.rse.2021.112328

Yang, P.*, van der Tol, C., Tiangang Yin., Verhoef, W. (2020). The SPART model: a soil-plant-atmosphere radiative transfer model for satellite measurements in the solar spectrum. Remote Sensing of Environment, 247, 11187.https://doi.org/10.1016/j.rse.2020.111870

Yang, P.*, van der Tol, C., Campbell, P. and Middleton, E., (2020). Fluorescence Correction Vegetation Index (FCVI): A physically based reflectance index to separate physiological and non-physiological information in far-red sun-induced chlorophyll fluorescence. Remote Sensing of Environment, 240, 111676.https://doi.org/10.1016/j.rse.2020.111676

Yang, P.*, Verhoef, W., van der Tol, C., (2020). Unified four-stream radiative transfer theory in the optical-thermal domain with consideration of fluorescence for multi-layer vegetation canopies. Remote Sensing.https://doi.org/10.3390/rs12233914

Yang, P.*, van der Tol, C., Verhoef, W., Damm, ... & Rascher, U., 2019. Using reflectance to explain vegetation biochemical and structural effects on sun-induced chlorophyll fluorescence, Remote Sensing of Environment, 231.https://doi.org/10.1016/j.rse.2018.11.039

Yang, P.*, van der Tol, C., 2018. Linking canopy scattering of far-red sun-induced chlorophyll fluorescence with reflectance. Remote Sensing of Environment, 209, 456 – 467.https://doi.org/10.1016/j.rse.2018.02.029

Yang, P.*, Verhoef, W., van der Tol, C., 2017. The mSCOPE model: A simple adaptation to the SCOPE model to describe reflectance, fluorescence and photosynthesis of vertically heterogeneous canopies. Remote Sensing of Environment, 201, 1 - 11.https://doi.org/10.1016/j.rse.2017.08.029

Yang, P.*, van der Tol, C. (2018), A spectral invariant approach to modelling radiative transfer of sun-induced chlorophyll fluorescence. IEEE Geoscience and Remote Sensing Symposium (IGARSS).https://doi.org/10.1109/IGARSS.2018.8517742

Yang, P., Liu, Z.*, (2013) Remote sensing of solar-induced chlorophyll fluorescence from an unmanned airship platform. IEEE Geoscience and Remote Sensing Symposium (IGARSS).https://doi.org/10.1109/IGARSS.2013.6723402

Wang, Z., Liu, J.*, Sheng, Y. & Yang, X. 2024. Intercomparison of the DART model and GEDI simulator for simulating GEDI waveforms in forests. International Journal of Applied Earth Observation and Geoinformation 134, 104148,  https://doi.org/10.1016/j.jag.2024.104148

Liu, J.*, Li, L., Akerblom, M., Wang, T., Skidmore, A., Zhu, X., & Heurich, M. 2021. Comparative Evaluation of Algorithms for Leaf Area Index Estimation from Digital Hemispherical Photography through Virtual Forests. Remote Sensing, 2021, 13(16), 3325 https://doi.org/10.3390/rs13163325

Liu, J.*, Wang, T., Skidmore, A.K., Jones, S., Heurich, M., Beudert, B., Premier, J., 2019. Comparison of terrestrial LiDAR and digital hemispherical photography for estimating leaf angle distribution in European broadleaf beech forests, ISPRS Journal of Photogrammetry and Remote Sensing, 2019, 158: 76-89. https://doi.org/10.1016/j.isprsjprs.2019.09.015

Liu, J.*, Skidmore, A.K., Wang, T., Zhu, X., Premier, J., Heurich, M., Beudert, B., Jones, S., 2019. Variation of leaf angle distribution quantified by terrestrial LiDAR in natural European beech forest. ISPRS Journal of Photogrammetry and Remote Sensing, 148, 208-220. (入选期刊Featured Article) https://doi.org/10.1016/j.isprsjprs.2019.01.005

Liu, J.*, Skidmore, A.K., Jones, S., Wang, T., Heurich, M., Zhu, X., Shi, Y., 2018. Large off-nadir scan angle of airborne LiDAR can severely affect the estimates of forest structure metrics. ISPRS Journal of Photogrammetry and Remote Sensing, 136, 13-25. (入选期刊Featured Article) https://doi.org/10.1016/j.isprsjprs.2017.12.004

Liu, J.*, Skidmore, A.K., Heurich, M., Wang, T.*, 2017. Significant effect of topographic normalization of airborne LiDAR data on the retrieval of plant area index profile in mountainous forests. ISPRS Journal of Photogrammetry and Remote Sensing, 132, 77-87.  (入选期刊Featured Article) https://doi.org/10.1016/j.isprsjprs.2017.08.005

Liu, J., Li, P.*, Wang, X., 2015.A new segmentation method for very high resolution imagery using spectral and morphological information. ISPRS Journal of Photogrammetry and Remote Sensing, 101, 145-162. https://doi.org/10.1016/j.isprsjprs.2014.11.009

Li, L., Zhan, W.*, et al., 2023. Divergent urbanization-induced impacts on global surface urban heat island trends since

1980s. Remote Sensing of Environment, 295, 113650.（中科院一区 TOP， IF： 13.5）https://doi.org/10.1016/j.rse.2023.113650

Li, L., Zhan, W.*, et al., 2023. Competition between biogeochemical drivers and land-cover changes determines urban

greening or browning. Remote Sensing of Environment, 287, 113481.（中科院一区 TOP， IF： 13.5）https://doi.org/10.1016/j.rse.2023.11348

Li, L., Zhan, W.*, et al., 2022. Long‐Term and Fine‐Scale Surface Urban Heat Island Dynamics Revealed by Landsat Data

Since the 1980s: A Comparison of Four Megacities in China. Journal of Geophysical Research: Atmospheres, 127,

e2021JD035598.（中科院二区 TOP， Nature Index 期刊， IF： 4.4）https://doi.org/10.1029/2021JD035598

Li, L., Zha, Y.*, et al., 2020. Using Prophet Forecasting Model to Characterize the Temporal Variations of Historical and

Future Surface Urban Heat Island in China. Journal of Geophysical Research: Atmospheres, 125, e2019JD031968.（中

科院二区 TOP， Nature Index 期刊， IF： 4.4）

Li, L., Zha, Y.*, et al., 2020. Spatially non-stationary effect of underlying driving factors on surface urban heat islands in

global major cities. International Journal of Applied Earth Observation and Geoinformation, 90, 102131.（中科院

一区 TOP， IF： 7.5）

6）Li, L.,  Zha, Y.*, 2020. Population exposure to extreme heat in China: Frequency, intensity, duration and temporal trends.

Sustainable Cities and Society, 60, 102282.（中科院一区 TOP， IF： 11.7）

二、教学及人才培养

2024，江苏省高校测绘地理信息本科生优秀毕业论文，一等奖指导老师，杨沛琦

2024，第一届高光谱遥感数据处理与应用大赛，三等奖指导老师，杨沛琦

2023，全国高等学校测绘学科教学创新与育才能力大赛青年教师讲课竞赛，特等奖 （刘婧）

2023，第七届全国激光雷达大会数据处理大赛，特等奖指导老师，刘婧

2020，第九届全国大学生GIS应用技能大赛，特等奖指导老师，刘婧

南京师范大学“优秀毕业生”、“优秀研究生”：张娅、刘先伟

南京师范大学“优秀毕业生”、“三好学生”、“优秀学生干部”：陈少洋（保研空天院）