发文时间:2021-09-02 撰稿人:

[1] 刘亚男, 基于多源遥感数据的森林地上生物量及净初级生产力估算研究[J], 测绘学报, 2020, 49(12):1641.

[2] ​Liu Y, Gong W, Xing Y, Gong J. Estimation of the forest stand mean height and aboveground biomass in Northeast China using SAR Sentinel-1B, Multispectral Sentinel-2A, and DEM imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 2019, 151: 277-289. (SCI, IF 6.942, JCR: Q1, TOP期刊)

[3] Liu Y, Gong W, Hu X, Gong J. Forest Type Identification with Random Forest using Sentinel-1A, Sentinel-2A, Multi-Temporal Landsat-8, and DEM data. Remote Sensing, 2018, 10(6): 946. (SCI, IF 4.118, JCR: Q1)

[4] Liu Y, Hu X, Gong J. Spatial-Temporal Analysis of Carbon Emission and Carbon Storage Using National Geography Census Data in Wuhan, China. ISPRS International Journal of Geo-Information, 2019, 8(1): 7. (SCI, IF 1.840, JCR: Q3)

[5] 林亚斌,贾永红,于宁,刘亚男,白建荣.基于资源三号卫星融合影像的地形图修测技术[J].地理空间信息,2014,12(03):17-18+22+5. (中文核心)

[6] Liu Y, Gong J, Hu X. Monitoring of Urban Carbon Sources and Carbon Sinks Using National Geography Census Data: A case study in Wuhan. (CPGIS, USA, 2017)

[7] Liu Y, Gong W, Hu X. Estimation of Forest Gross Primary Productivity in North-East China by a Physiologically-Based Model Driven with Remote Sensing Data. (IGRASS, Japan, 2019)

[8] Hu, P., Liu, Y., Tian, M., and Hou, M.: Robust and accurate plane segmentation from point clouds of structured scenes, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 221–226

 

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