个人简介

罗善军19928月生,博士,现为河南省科学院空天信息研究所助理研究员,华北水水电大学士研究生导师。主要从事卫星与人机农业遥感领域的研究工作,重点研究方向包括:智慧农业、定量遥感、作物长势监测与估产、作物灾害监测等

参与完成国家自然科学基金面上项目和湖北省重点研发计划项目各1项,主持河南省科技攻关项目和河南省科技开发联合基金(青年科学家项目)各1项,以第一作者或通讯作者在Computers and Electronics in AgricultureInternational Journal of Applied Earth Observation and GeoinformationGIScience & Remote SensingGeo-Spatial Information Science等国际期刊发表高水平SCI论文十余篇,现担任多个国际知名SCI期刊审稿人。


研究方向

定量遥感反演

研究焦点:通过多源数据融合解决看得全的问题,通过机理与AI融合解决看得准的问题,通过耦合过程模型解决用得着的问题

核心方法:

1. 多源数据协同获取

2. 多模态数据智能处理

3. 多目标参数协同反演

4. 图像分割分类


智慧农业

研究焦点:应用多源遥感技术,发展区域尺度的作物生长过程动态监测与产量预估体系

核心方法:

1. 多源遥感特征提取与融合

2. 基于机器学习的特征重要性评估与筛选

3. 辐射传输模型的应用与改进

4. 作物表型鉴定技术


代表性论文

Time-space-angle scale effects and incorporation patterns in estimating rice LAI and leaf chlorophyll content by UAV multispectral remote sensing
2025
Luo SJ, Li Q, Du L, et al.

Computers and Electronics in Agriculture, 2025, 110792. 

Spatiotemporal stability estimation of physicochemical parameters of rice based on dynamic process orientation and refined abundance modification
2025
Luo SJ, Li Q, Wu ZC

 Geo-spatial Information Science, 2025, 2498049

A dynamic correction method for the influence of SAR observation incidence angle based on the corn crop phenology information
2025
Wang YY, Luo SJ*, Xinxin Huang, et al.

International Journal of Remote Sensing. 2025. 46(7), 2909–2929.

Mapping winter fallow arable lands in Southern China by using a multi-temporal overlapped area minimization threshold method.
2024
Wang XY, He YB*, Luo SJ*, et al.

GIScience & Remote Sensing, 2024, 61:1, 2333587. 

An automatic rice mapping method based on constrained feature matching exploiting Sentinel-1 data for arbitrary length time series
2022
Jiang XQ†, Luo SJ†, Gao S, et al.

International Journal of Applied Earth Observations and Geoinformation, 2022, 103032.

Multispectral remote sensing for accurate acquisition of rice phenotypes: Impacts of radiometric calibration and unmanned aerial vehicle flying altitudes
2022
Luo SJ, Jiang XQ, Yang KL, et al.

Frontiers in Plant Science, 2022, 13:958106. 

Multi-dimensional variables and feature parameter selection for aboveground biomass estimation of potato based on UAV multispectral imagery
2022
Luo SJ, Jiang XQ, He YB, et al.

Frontiers in Plant Science, 2022, 13:948249. 

Nondestructive estimation of potato yield using relative variables derived from multi-period LAI and hyperspectral data based on weighted growth stage
2020
Luo SJ, He YB, Li Q, et al.

Plant Methods, 2020, 16:150. 

授权专利