测绘科学与技术学院
师资队伍
您当前所在位置:
首页 > 遥感科学与技术系 > 讲师 > 正文

田惠仁

发布日期:2023-07-14 点击量: 来源:

个人简介:

田惠仁,女,山西五台人,博士研究生,讲师。主要基于深度学习开展作物长势监测与产量估测研究,共发表论文十余篇,以第一作者在Agricultural and Forest Meteorology、International Journal of Applied Earth Observation and Geoinformation等主流期刊上发表论文4篇,累计引用100余次。参与国家自然科学基金3项,曾获北京市优秀毕业生、中国农业大学优秀毕业生等多项奖励。邮箱:hr_tiangis@163.com

研究领域:

目前主要从事深度学习和定量遥感在农业领域的应用研究,空间信息智能感知与提取。

学习及工作经历:

2023.07 –   今,  西安科技大学,讲师

2019.07 – 2019.08,英国莱斯特大学,地理学,学术交流

2018.09 – 2023.06,中国农业大学,计算机科学与技术,工学博士

2014.09 – 2018.06,辽宁师范大学,地理信息科学,理学学士

代表性学术成果:

1. Tian Huiren, Wang Pengxin, Tansey Kevin, Zhang Jingqi, Zhang Shuyu, Li Hongmei. An LSTM neural network for improving wheat yield estimates by integrating remote sensing data and meteorological data in the Guanzhong Plain, PR China[J]. Agricultural and Forest Meteorology, 2021, 310: 108629.(TOP,JCR一区,IF = 6.424,引用频次:31)

2. Tian Huiren, Wang Pengxin, Tansey Kevin, Han Dong, Zhang Jingqi, Zhang Shuyu, Li Hongmei. A deep learning framework under attention mechanism for wheat yield estimation using remotely sensed indices in the Guanzhong Plain, PR China[J]. International Journal of Applied Earth Observation and Geoinformation, 2021, 102: 102375.(TOP, JCR一区,IF = 7.672,引用频次:22)

3. Tian Huiren, Wang Pengxin, Tansey Kevin, Zhang Shuyu, Zhang Jingqi, Li Hongmei. An IPSO-BP neural network for estimating wheat yield using two remotely sensed variables in the Guanzhong Plain, PR China[J]. Computers and Electronics in Agriculture, 2020, 169: 105180.(JCR一区,IF = 6.757,引用频次:43)

4. 王鹏新, 田惠仁, 张悦, 韩东, 王婕, 尹猛. 基于深度学习的作物长势监测和产量估测研究进展与展望[J]. 农业机械学报, 2022, 53(2): 1-14.(EI,引用频次:16)

5. Zhang Jingqi, Tian Huiren, Wang Pengxin, Tansey Kevin, Zhang Shuyu, Li Hongmei. Improving wheat yield estimates using data augmentation models and remotely sensed biophysical indices within deep neural networks in the Guanzhong Plain, PR China[J]. Computers and Electronics in Agriculture, 2022, 192: 106616.(JCR一区,IF = 6.757)

6. Wang Jie, Wang Pengxin, Tian Huiren, Tansey Kevin, Liu Junming, Quan Wenting. A deep learning framework combining CNN and GRU for improving wheat yield estimates using time series remotely sensed multi-variables[J]. Computers and Electronics in Agriculture, 2023, 206: 107705.(JCR一区,IF = 6.757)

7. Han Dong, Wang Pengxin, Tansey Kevin, Liu Junming, Zhang Yue, Tian Huiren, Zhang Shuyu. Integrating an attention-based deep learning framework and the SAFY-V model for winter wheat yield estimation using time series SAR and optical data[J]. Computers and Electronics in Agriculture, 2022, 201: 107334.(JCR一区,IF = 6.757)

8. Han Dong, Wang Pengxin, Tansey Kevin, Zhang Shuyu, Tian Huiren, Zhang Yue, Li Hongmei. Improving wheat yield estimates by integrating a remotely sensed drought monitoring index into the simple algorithm for yield estimate model[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14: 10383-10394.(JCR二区,IF = 3.734)

9. Han Dong, Wang Pengxin, Tansey Kevin, Zhou Xijia, Zhang Shuyu, Tian Huiren, Zhang Jingqi, Li Hongmei. Linking an agro-meteorological model and a water cloud model for estimating soil water content over wheat fields[J]. Computers and Electronics in Agriculture, 2020, 179: 105833.(JCR一区,IF = 6.757)

10. Zhou Xijia, Wang Pengxin, Tansey Kevin, Zhang Shuyu, Li Hongmei, Tian Huiren. Reconstruction of time series leaf area index for improving wheat yield estimates at field scales by fusion of Sentinel-2, -3 and MODIS imagery[J]. Computers and Electronics in Agriculture, 2020, 177: 105692.(JCR一区,IF = 6.757)

11. 王鹏新, 王婕, 田惠仁, 张树誉, 刘峻明, 李红梅. 基于遥感多参数和门控循环单元网络的冬小麦单产估测[J]. 农业机械学报, 2022, 53(9): 207-216.(EI)

12. 韩东, 王鹏新, 张悦, 田惠仁, 周西嘉. 农业干旱卫星遥感监测与预测研究进展[J]. 智慧农业(中英文), 2021, 3(2): 1-14.

13. 周西嘉, 张悦, 王鹏新, 张树誉, 李红梅, 田惠仁. 基于Sentinel的时间序列田块尺度LAI重建与冬小麦估产[J]. 农业机械学报, 2022, 53(8): 173-185.(EI)

要科研项目:

1. 2021.11-2025.01,国家自然科学基金项目,基于多参数和注意力机制深度学习的作物长势信息提取方法研究(42171332),主要参与人

2. 2018.10-2022.12,国家自然科学基金项目,综合叶面积指数和条件植被温度指数的作物长势监测方法研究(41871336),主要参与人

3. 2018.04-2020.03,国家自然科学基金国际(地区)合作与交流项目,基于中低空间分辨率遥感数据的作物物候期精准识别与生物量反演(41811530303),主要参与人

荣誉奖励:

1. 北京市优秀毕业生,2023.06

2. 中国农业大学优秀毕业生,2023.06


NEXT:王功雪

联系方式

  • - 电话:029-85583176(雁塔)029-83858066(临潼)
  • - 邮编:710054
  • - 地址:西安市雁塔中路58号

版权所有 © 西安科技大学测绘科学与技术学院