学术论文：
[1] Xue,K., Ma, R*., Li, Y., Hu, M., 2026. Anthropogenic and climatic factors regulate algal bloom intensity and timing in global lakes under climate change. Communications Earth & Environment, 7, 458. [DOI:10.1038/s43247-026-03446-7].
[2] 胡旻琪, 王胜蕾, 房冲, 薛坤, 宋开山, 马荣华*. 2025. 中国典型湖泊营养状态卫星遥感评价方法适用性分析. 遥感学报, 29(11): 3296-3311. [DOI:10.11834/jrs.20254416]
[3] Deng, M.,Ma, R*., Wang, L., Hu, M., Xue, K., Cao, Z., Xiong, J., Yu, Z., 2025. A non-optically active lake salinity dataset by satellite remote sensing. Scientific Data, 12, 1324. [DOI:10.1038/s41597-025-05686-2].
[4] Huang, Z., Ma, R*., Liu H., Xue,K., Hu,M., Wei,X., Li,H., 2025. Short-term spatial prediction of algal blooms in Lake Taihu via machine learning and GOCI observations. Journal of Environmental Management, 338, 125964. [DOI:10.1016/j.jenvman.2025.125964].
[5] Xue, K., Ma, R*., Wang, M., Wei, X., Liu,H., Hu, M., Jiang, J., Shen, M., Cao, Z., 2025. A state-of-art algorithm to retrieve particulate organic carbon concentration in optically complex waters via multiple satellite missions. Remote Sensing of Environment, 329, 114914. [DOI:10.1016/j.rse.2025.114914]
[6] Zheng, Y., Ma, R*.,Hu, M.,Xue, K., Cao, Z., Xiong, J., 2025. A Brand-New Algorithm for Mapping Algal Biomass in Lakes. Journal of Remote Sensing. 5, 0436. [DOI:10.34133/remotesensing.0436].
[7] Zheng, Y., Ma, R*.,Hu, M.,Xue, K., Cao, Z., Xiong, J., 2025. An improved algorithm for the column-integrated algal biomass retrieval in Lake Chaohu, a large eutrophic lake. International Journal of Applied Earth Observation and Geoinformation. 127, 103670. [DOI:10.1016/j.jag.2024.103670].
[8] Hu, M., Ma, R*., Xue, K., Cao, Z., Xiong, J., Steven, L., Shen, M., 2024. Eutrophication evolution of lakes in China: Four decades of observations from space. Journal of Hazardous Materials, 470, 134225. [DOI:10.1016/j.jhazmat.2024.134225]
[9] Hu, M., Ma, R*., Xue, K., Cao, Z., Chen, X., Xiong, J., Xu, J., Huang, Z., Yu, Z., 2024. A dataset of trophic state index for nation-scale lakes in China from 40-year Landsat observations. Scientific Data, 11, 659. [DOI:10.1038/s41597-024-03506-7]
[10] Hu, M., Ma, R*., Xiong, J., Wang, M., Cao, Z., Xue, K., 2022. Eutrophication state in the Eastern China based on Landsat 35-year observations. Remote Sensing of Environment, 277, 113057. [DOI:10.1016/j.rse.2022.113057]
[11] Hu, M., Ma, R*.,Cao, Z., Xiong, J., Xue, K., 2021. Remote Estimation of Trophic State Index for Inland Waters Using Landsat-8 OLI Imagery. Remote Sensing, 13, 1988. [DOI:10.3390/rs13101988]
[12] Hu, M., Zhang, Y*., Ma, R, Xue, K., Cao, Z., Chu, Q., Jing, Y., 2021. Optimized remote sensing estimation of the lake algal biomass by considering the vertically heterogeneous chlorophyll distribution: Study case in Lake Chaohu of China. Science of the Total Environment, 771, 144811. [DOI:10.1016/j.scitotenv.2020.144811].
[13] Zhang, Y., Hu, M., Shi, K*., Zhang, M., Han, T., Lai, L., Zhan, P., 2021. Sensitivity of phytoplankton to climatic factors in a large shallow lake revealed by column-integrated algal biomass from long-term satellite observations. Water Research. 207, 117786. [DOI:10.1016/j.watres.2021.117786].
[14] 胡旻琪, 张玉超*, 马荣华, 张壹萱. 2018. 巢湖2016年蓝藻水华时空分布及环境驱动力分析. 环境科学. 39, 11.[DOI:1013227 /j.hjkx.201801057]
专利软著：
[1] 沉水植被底质光学浅水区无机悬浮物和植被深度反演方法(4/5). 发明专利. 中国. ZL 2026 1 0704799.5
[2] 流域-岸线协同约束的湖泊水质及地形的遥感同步反演方法(1/3). 发明专利. 中国. ZL 2025 1 1179030.8
[3] 基于静止卫星的湖泊蓝藻水平和垂向运动速率计算方法(3/5). 发明专利. 中国. ZL 2023 1 0530180.3
[4] 一种内陆湖库水体的藻华识别方法(3/3). 发明专利. 中国. ZL 2023 1 0871177.8
[5] 富营养化湖泊真光层外藻总量遥感间接监测方法(2/3). 发明专利. 中国. ZL 2017 1 1339000.4
[6] 富营养化湖泊真光层内藻总量卫星遥感监测方法(2/3). 发明专利. 中国. ZL 2017 1 1349507.8
[7] 《生态第一课 写给青少年的绿水青山》(副主编). 2023. 中国地图出版社
[8] 《湖库营养状态卫星遥感监测标准》(2/21).T/CSES 215—2025. 中国标准出版社
