焦全军
性别:男
职称:副研究员
邮箱:jiaoqj@aircas.ac.cn
2003-09至2008-06,中国科学院研究生院,中国科学院遥感与数字地球研究所,地图学与地理信息系统,博士
1999-09至2003-06,北京大学,地球与空间科学学院,地理信息系统,学士
工作经历:
2013-04至今,中国科学院空天信息创新研究院/中国科学院遥感与数字地球研究所,副研究员
2008-06至2013-03,中国科学院对地观测与数字地球科学中心/遥感与数字地球研究所,助理研究员
植被定量遥感及应用研究
国家重点研发计划项目子课题,2023YFB3906202,全球主要农作物叶面积指数高精度遥感反演,2023/12-2026/11,45万元,主持
国家重点研发计划项目子课题,2021YFB3900501,遥感智能解译框架构建及真实性验证,2021/12-2025/11,118万元,主持
国家自然科学基金面上项目,42071330,基于塔基光谱自动观测的叶片叶绿素含量遥感反演研究,2021/01-2024/12,66万元,主持
国家重点研发计划项目子课题,2017YFA0603001,植被冠层叶绿素含量立体观测与反演研究,2017/07-2021/12,20万元,主持
国家重点研发计划项目子课题,2016YFD0300601,基于地面遥感的小麦生长参数实时监测,2016/01-2020/12,150万元,主持
海南省自然科学基金面上项目,20164180,海南省森林变化的长时序卫星遥感监测方法与应用研究,2016/01-2017/121,5万元,主持
国家科技支撑子课题,2013BAC03B02,草原生态系统立体监测评估技术研究及应用,2013/01-2016/12,16万元,主持
焦全军,2016年度中国科学院杰出科技成就奖(主要完成者)
[1]Quanjun Jiao, Bing Zhang, Wenjiang Huang, Huichun Ye, Zhaoming Zhang, Binxiang Qian, Bohai Hu, Shenglei Wang. The potential of hue angle calculated based on multispectral reflectance for leaf chlorophyll content estimation, IEEE Transactions on Geoscience and Remote Sensing [J], 2023, 61, 4408616, 1-16.
[2]Quanjun Jiao, Sun Qi, Bing Zhang, Wenjiang Huang, Huichun Ye, Zhaoming Zhang, Xiao Zhang. A random forest algorithm for retrieving canopy chlorophyll content of wheat and soybean trained with PROSAIL simulations using adjusted average leaf angle. Remote Sensing [J], 2022, 14, 98.
[3]Qi Sun, Quanjun Jiao, Liangyun Liu, Xinjie Liu, Xiaojin Qian, Xiao Zhang, Bing Zhang. Improving the retrieval of forest canopy chlorophyll content from meris dataset by introducing the vegetation clumping index, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing [J], 2021, 14: 5515–5528,
[4]Qi Sun, Quanjun Jiao, Xiaojin Qian, Liangyun Liu, Xinjie Liu, Huayang Dai. Improving the retrieval of crop canopy chlorophyll content using vegetation index combinations, Remote Sensing [J], 2021, 13(3): 470.
[5]Quanjun Jiao, Liangyun Liu, Jiangui Liu, Hao Zhang, Bing Zhang, Atmospherically resistant vegetation water indices using the 970-nm water absorption feature, Journal of Applied Remote Sensing [J], 14(3), 034504, 2020.
[6]Quanjun Jiao, Zhang Bing, Liu Jiangui, Liu Liangyun. A novel two-step method for winter wheat-leaf chlorophyll content estimation using a hyperspectral vegetation index. International Journal of Remote Sensing [J], 2014, 35(21), 7363–7375.
[7]Quanjun Jiao, Bing Zhang, Liangyun Liu, Zhenwang Li, Yuemin Yue, Yong Hu. Assessment of spatio-temporal variations in vegetation recovery after the Wenchuan earthquake using Landsat data. Natural Hazards[J], 2014, 70(2): 1309–1326.