
曾灿英,博士,副研究员,土地资源管理专业硕导、公共管理类博导。主要研究领域为生态环境治理与可持续发展、耕地资源保护与利用。主持国家自然科学基金2项、省部级课题2项,横向课题4项。在国内外知名学术期刊发表论文30余篇,获授权发明专利和软件著作权3项,省级批示1项。
主讲课程:遥感数字图像处理、地籍测量与管理
联系方式:zengcy@zufe.edu.cn,18258892262@163.com
主要项目
1.国家自然科学基金面上基金, 融合剖面与大量表层样的高精度三维数字土壤制图研究,2025-01-2028-12,主持。
2.国家自然科学青年基金,顾及降雨时空异质性的地表动态反馈构建研究,2020.01-2022.12,主持。
3.浙江省自然科学基金探索项目,大尺度下平缓区精细数字土壤制图研究,2022.01-2024.12,主持。
4.慈溪市农业农村局,慈溪市第三次全国土壤普查成果汇总,2024.01-2026.06,主持。
5.浙江省农业农村厅,黄岩区第三次全国土壤普查剖面样点调查采样技术服务,2024-2025,主持。
6.台州市自然资源规划局,台州市椒江区第三次国土“三调耕地分等”调查评价工作,2019-2022,主持。
7.天台县农业农村局,天台县第三次全国土壤普查成果汇总服务项目——土壤类型与土壤属性制图。2024-2025,主持。
8.博士后科学基金面上项目,2018M642389,考虑降雨量空间差异的地表动态反馈构建方法,时间:2018/12-2020/06,主持。
一作或通讯论文
1.区域经济差异背景下中国二氧化碳排放影响因素与减排策略. 环境科学. 2025.
2.High‑resolution mapping of carbon dioxide emissions in Guizhou Province and its scale effects. Scientific Reports. 2024, 14:20916.
3.The use of digital technologies for landslide disaster risk research and disaster risk management: Progress and prospects. Environmental Earth Sciences, 2022, 81, 446.
4.The Impact of Urbanization Growth Patterns on Carbon Dioxide Emissions: Evidence from Guizhou, West of China. Land 2022, 11, 1211. https://doi.org/10.3390/land11081211.
5.Construction of land surface dynamic feedback for digital soil mapping considering the spatial heterogeneity of rainfall magnitude. Catena, 2020, (191):104576.
6.Construction of land surface dynamic feedbacks for digital soil mapping with fusion of multi-source remote sensing data. European Journal of Soil Science, 2019, 70(1): 174-184
7.The generation of soil Spectral dynamic feedback using Landsat 8 data for digital soil mapping. Remote Sensing. 2020, 12(10), 1691-1710.
8.Construction of membership functions for soil mapping using partial dependence of soil on environmental covariates calculated by random forest. Soil Science Society of America Journal, 2017, 81(2): 341-353.
9.Mapping soil organic matter concentration at different scales using a mixed geographically weighted regression method. Geoderma, 2016, 281: 69-82.
10.The impact of rainfall magnitude on the performance of digital soil mapping over low-relief areas using a land surface dynamic feedback method. Ecological Indicators, 2017, 72: 297-309.
11.Characterizing Spatiotemporal Non-Stationarity in Vegetation Dynamics in China Using MODIS EVI Dataset, Environmental Monitoring and Assessment, 2013, 185(11): 9019-9035.
12.Comparative spatio-spectral heterogeneity analysis using multispectral and hyperspectral airborne images, Geo-Spatial Information Science, 2013, 16(2): 83-90. DOI:10.1080/10095020.2013.772805
13. Characterizing landscape spatial heterogeneity in multisensor images with variogram models, Chinese Geographical Science, 2014, 24(3): 317-327.
14. Quantifying spatial heterogeneity of Coniferous trees in ATM, CASI and Eagle airborne images. In Spatial Data Mining and Geographical Knowledge Services (ICSDM), 2011 IEEE International Conference on (pp. 198-203). IEEE.
15. Multilevel Assessment of Spatiotemporal Variability of Vegetation in Subtropical Mountain-hill Region, Journal of Mountain Science, 2013, 10(6): 1028-1038. DOI: 10.1007/s11629-013-2468-0.
16. Aaron HIRSH. Identifying Scale-location specific Control on vegetation Distribution in mountain-hill Region, Journal of Mountain Science, 2013, 10(4): 541-552. DOI:10.1007/s11629-013-2733-2.
