丁安心

基本信息

姓  名:丁安心

职  称:讲师

电子邮箱:danxin@fjnu.edu.cn

研究方向

多角度光学遥感(土壤,植被,积雪)

个人履历 

教育:

2019.09—2022.06,博士,武汉大学,摄影测量与遥感专业

2016.09—2019.06,硕士,北京师范大学,地图学与地理信息系统专业

工 作:

2022年7月—2025年10月,合肥工业大学资源与环境工程学院,讲师

2025年11月—至今,福建师范大学地理学院,讲师


个人简介  

在RSE、TGRS、JRS、IJRS和遥感学报等期刊发表文章40多篇,其中以第一作者或通讯作者发表SCI论文10余篇,获批国家发明专利3项,软件著作权6项。主持国家自然科学基金和省自然科学基金等项目。目前担任RSE,ISPRS,TGRS,JAG,SRS,GRSL,IJRS和遥感学报等国内外期刊审稿人。


科研项目

国家自然科学基金青年项目(42301363),利用核驱动RTLSRS模型改进积雪 BRDF/反照率产品精度研究,2024–2026

安徽省自然科学基金青年项目(2308085QD118),Hapke辐射传输模型改进及土壤含水量参数反演研究,2023–2025

遥感科学国家重点实验室开放基金(OFSLRSS202412),土壤辐射传输模型耦合及多种土壤关键参量同时反演研究,2024–2026

 

代表性论文

Ding, A., Jiao, Z., Jian, B., et al. (2026). HBiM2: A multi-angle hyperspectral soil radiative transfer model for simulating the reflectance of dry and wet soils. Remote Sensing of Environment, 269, 112843. (SCI 1区top, IF=11.1)

Ding, A., Liang, S., Ma, H., et al. (2022). Extension of the Hapke model to the spectral domain to characterize soil physical properties. Remote Sensing of Environment, 269, 112843. (SCI 1区top, IF=11.1)

Ding, A., Jiao, Z., Zhang, X., et al. (2023). A Practical Approach to Improve the MODIS MCD43A Products in Snow-Covered Areas, Journal of Remote Sensing, 0057. (ESCI 1区, IF=8.8)

Ding, A., Liang, S., Jiao, Z. et al., (2022). Improving the asymptotic radiative transfer model to better characterize the pure snow hyperspectral bidirectional reflectance. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-16. (SCI 1区, IF=7.5)

Geng, J., Wang, Y.. Roujean, J. L., Li, W., Ma, Y., Chen, R., Ding*, A. et al. (2025). Global adaptability assessment of ten common topographic correction models for Landsat 8 OLI images. IEEE Transactions on Geoscience and Remote Sensing (SCI 1区, IF=7.5)

Ding, A., Yao, Y., Song, H., Geng, J. et al. (2025) The coupling GSV and MARMIT-2 models to characterize reflectance properties of dry and wet soils, IEEE Geoscience and Remote Sensing Letters, (SCI 3区, IF=4.0).

Ding, A., Liang, S., Ma, H., et al., (2024). Improved estimation of daily blue-sky snow shortwave albedo from MODIS data and reanalysis information, Science of Remote Sensing, (ESCI 1区, IF=5.7)

Ding, A., Jiao, Z., Kokhanovsky, A., et al. (2024). Evaluating the performance of the enhanced Ross-Li models in characterizing BRDF/Albedo/NBAR characteristics for various land cover types in the POLDER database. Remote Sensing. 2024, 16, 2119. (SCI 2区, IF=4.8)

Jiao, Z., Ding, A., Kokhanovsky, A., et al. (2019). Development of a snow kernel to better model the anisotropic reflectance of pure snow in a kernel-driven BRDF model framework. Remote Sensing of Environment, 221, 198-209. (SCI 1区top,IF=11.1)

Ding, A., Jiao, Z., Dong, Y., et al. (2019). Evaluation of the snow albedo retrieved from the snow kernel improved the Ross-Roujean BRDF model. Remote Sensing, 1-12. (SCI 2区, IF=4.8)

Ding, A., Jiao, Z., Dong, Y., et al. (2019). An assessment of the performance of two snow kernels in characterizing snow scattering properties. International Journal of Remote Sensing, 40(16), 6315-6335. (SCI 3区, IF=3.2)