陶亮亮

时间:2019-03-05浏览:4958


个人资料

    名:陶亮亮

   籍:中国

出生年月:198879

    别:

   称:讲师

   务:无

最高学历:博士

所属专业:地图学与地理信息系统

所属系部:地理科学学院

毕业院校:北京师范大学

研究方向:遥感反演

电子邮箱:taoll09@nuist.edu.cn

主要研究领域:多源遥感反演地表土壤湿度及植被参数

教育经历

2011.9-2017.6   北京师范大学地理科学学部,博士

2007.9-2011.6  中国矿业大学(北京)地球科学与测绘工程学院,本科

工作经历

2017.6-    南京信息工程大学地理科学学院,讲师

2018.12-2020.12  墨尔本大学基础工程系,博士后

近期主要论著

学术论文

1.           Liangliang   Tao, Dongryeol Ryu, Andrew Western, Dale Boyd, A New Drought Index for Soil   Moisture Monitoring Based on MPDI-NDVI Trapezoid Space Using MODIS Data.   Remote Sensing. 2021; 13(1):122.

2.           Liangliang   Tao, Guojie Wang, Weijing Chen, Xi Chen, Jing Li, Qingkong Cai, Soil Moisture   Retrieval From SAR and Optical Data Using a Combined Model[J]. IEEE Journal   of Selected Topics in Applied Earth Observations and Remote Sensing, 2019,   (99):1-11.

3.           Liangliang   Tao, Guojie Wang, Xi Chen, Jing Li, Qingkong Cai, Soil Moisture Retrieval   Using Modified Particle Swarm Optimization and Back-Propagation Neural   Network[J]. Photogrammetric Engineering & Remote Sensing, 2019.

4.           Liangliang   Tao, Guojie Wang, Xi Chen, Jing Li, Qingkong Cai, Estimation of soil   moisture using a vegetation scattering model in wheat fields, Journal   of Applied Remote Sensing, 13(4), 044503 (2019), doi: 10.1117/1.JRS.13.4.044503.

5.           Liangliang   Tao; Jing Li; Jinbao Jiang; Xi Chen, Leaf area index inversion of   winter wheat using modified water-cloud model, IEEE Geoscience and   Remote Sensing Letters 13(6): 816-820 (2016). DOI: 10.1109/LGRS.2016.2546945.

6.           Liangliang   Tao; Jing Li; Jinbao Jiang; Shi He; Qingkong Cai; Xi Chen, Evaluation   of radar backscattering models using L- and C-band synthetic aperture radar   data, Journal of Applied Remote Sensing 9(1), 094091 (2015). DOI:   10.1117/1.JRS.9.094091.

7.           Liangliang   Tao; Jing Li; Xi Chen; Qingkong Cai; Yunfei Zhang, An Effective Model   to Retrieve Soil Moisture from L- and C-band SAR Data, Journal of the   Indian Society of Remote Sensing 1-9 (2016). DOI:10.1007/s12524-016-0626-x.

8.           Liangliang   Tao; Jing Li; Jinbao Jiang; Xi Chen; Qingkong Cai, A modified   vegetation backscattering model for leaf area index retrieval from SAR time   series, International Journal of Remote Sensing 37(24):   5884-5901(2016). DOI: 10.1080/01431161.2016.1251627.

9.           Qingkong   Cai, Erjun Li, Ju Chen, Liangliang Tao, Ruibo Jiang. Analysis on Topographic   Effect of Soil Moisture in Mountainous Areas based on Landsat-8 OLI   Images[J]. Journal of Engineering Science & Technology Review, 2020,   13(2).

10.       Qingkong   Cai, Erjun Li, Liangliang Tao, Ruibo Jiang. Farmland soil moisture retrieval   using PROSAIL and water cloud model[J]. Trans. Chinese Soc. Agric. Eng, 2018,   34: 117-123.

11.       Xi   Chen, Jing Li, Yunfei Zhang, Weiguo Jiang, Liangliang Tao, Wei Shen.   Evidential fusion based technique for detecting landslide barrier lakes from   cloud-covered remote sensing images[J]. IEEE Journal of Selected Topics in   Applied Earth Observations and Remote Sensing, 2017, 10(5): 1742-1757.

12.       陶亮亮,李京,蒋金豹,陈曦,蔡庆空.   利用RADARSAT-2雷达数据与改进的水云模型反演冬小麦叶面积指数[J]. 麦类作物学报,   2016,02:236-242.

13.       蔡庆空,陶亮亮,蒋瑞波,蒋金豹.基于理论干湿边与改进TVDI的麦田土壤水分估算研究[J].农业机械学报,2020,51(07):202-209.

学术会议及提交论文

14.       Liangliang   Tao, Dongryeol Ryu, Andrew Western, Sun-Gu Lee, Intercomparison of X- and   C-bands active microwave soil moisture retrievals over dryland wheat fields,   In Geoscience and Remote Sensing Symposium (IGARSS), 2020 IEEE International.

15.       Liangliang   Tao, Guojie Wang, Shi He, Xi Chen, Soil moisture retrieval using modified   vegetation backscattering model based on RADARSAT-2 data, In Geoscience and   Remote Sensing Symposium (IGARSS), 2018 IEEE International (pp. 9102-9105).

16.       Liangliang   Tao; Jing Li; Xi Chen; Yongrong Su; Yunfei Zhang; Wei Wang; Xiaoxia Shi,   Estimation of actual irrigation area using remote sensing monitoring   method in Hetao Irrigation District, In Geoscience and Remote Sensing   Symposium (IGARSS), 2014 IEEE International (pp. 2367-2370).

近期科研项目

主持项目

1.           国家自然科学青年基金,41901278,田间尺度土壤水分主被动遥感联合反演算法及贝叶斯优化,2020/01-2022/1224万元,在研,主持

2.           江苏省自然科学青年基金,BK20180798,基于面向对象分割的光学与雷达遥感反演地表土壤水分估算研究,2018/07-2021/0620万元,在研,主持

3.           南京信息工程大学人才启动项目,2017R071,基于光学和雷达遥感卫星数据的土壤水分估算研究,2017/10-2020/10,10万元,已结题,主持

参与项目

4.           国际合作项目(墨尔本大学与韩国航空宇宙研究院合作项目):Retrieval Algorithms   for Soil Water and Agricultural Production over Major Cropping Areas2020   

5.           国家科技支撑计划项目:旱区多遥感平台农田信息精准获取技术集成与应用(2012BAH29B00)子课题:多源遥感数据获取和分析(2012.01~2014.12);

6.           民用航天技术预先研究项目:基于遥感数据源的农作物需水预测与灌溉面积遥感监测模型软件(2011.12~2012.12);

7.           国家减灾委民政部减灾中心项目:环境与灾害监测预报小卫星星座运行管理与减灾应用系统灾情评估分系统(2011.09~2012.12);