学术论文
国际期刊论文
[1] C. Zhang, L. Zhou, M. Du, K. Yang, and T. Luo, "A cross-channel multi-scale gated fusion network for recognizing construction and demolition waste from high-resolution remote sensing images," Int. J. Remote Sens., vol. 43, no. 12, pp. 4541-4568, 2022/06/18 2022, doi: 10.1080/01431161.2022.2115864.
[2] Zhou, L.; Zhu, Y.; Du, M.; Wang, S.; He, C.; Luo, T.; Wu, J.; Zhang, J.; Yang, K. The Long-Time Variation of Lake in Typical Desert Area and Its Human and Climate Change Causes: A Case Study of the Hongjian Nur. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2021, 14, 416-425, doi:10.1109/JSTARS.2020.3044571.
[3] Zhou, L.; Wang, S.; Du, M.; Chen, Q.; He, C.; Zhang, J.; Zhu, Y.; Gong, Y. The Influence of ENSO and MJO on Drought in Different Ecological Geographic Regions in China. Remote Sensing 2021. 13(5): p. 875.
[4] Zhou, L.; Luo, T.; Du, M.; Chen, Q.; Liu, Y.; Zhu, Y.; He, C.; Wang, S.; Yang, K. Machine Learning Comparison and Parameter Setting Methods for the Detection of Dump Sites for Construction and Demolition Waste Using the Google Earth Engine. Remote Sensing 2021, 13, 787.
[5] Zhou, L.; Wang, Y.; Du, M.; Jing, C.; Wang, S.; Zhu, Y.; Luo, T.; He, C.; Gao, T.; Yang, K. Optimization of Seasonal Geographically and Temporally Weighted Regression Model for Accurate Estimation of Seasonal PM2.5 Concentrations in Beijing–Tianjin–Hebei Region. Sensors and Materials 2020, 32, 4393-4412, doi:https://doi.org/10.18494/SAM.2020.3077.
[6] Zhou, L.; Wang, S.; Du, M.; Yang, J.; Zhu, Y.; Wu, J. An Integrated Approach for Detection and Prediction of Greening Situation in a Typical Desert Area in China and Its Human and Climatic Factors Analysis. ISPRS International Journal of Geo-Information 2020, 9, 364.
[7] Wang Y., Du M., Zhou L.*, Cai G., Bai Y. A Novel Evaluation Approach of County-Level City Disaster Resilience and Urban Environmental Cleanliness Based on SDG11 and Deqing County’s Situation. Sustainability, 11(20): pp 5713, 2019. (Corresponding Authour, SCI)
[8] Zhou, L.*; Wu, J.; Mo, X.; Zhou, H.; Diao, C.; Wang, Q.; Chen Y.; Zhang F. Quantitative and detailed spatiotemporal patterns of drought in China during 2001–2013. Science of the Total Environment. DOI: 10.1016/j.scitotenv.2017.02.202.
[9] Zhou, L.; Wu, J.; Zhang, J.; Leng, S.; Liu, M.; Zhao, L.; Zhang, F.; Shi, Y. The integrated surface drought index (isdi) as an indicator for agricultural drought monitoring: Theory, validation, and application in mid-eastern china. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2013, 6, 1254-1262.
[10] Zhou, L.; Zhang, J.; Wu, J.; zhao, L.; Liu, M.; LÜ, A.; wu, Z. Comparison of remote sensed and meteorological data derived drought indices in mid-eastern china. International Journal of Remote Sensing 2012, 33, 1755-1779. (Win the Len Curtis Award by Taylor & Francis and The Remote Sensing and Photogrammetry Society present for the best scientific paper pubulished in the open literature of remote sensing during the year 2012)
[11] Zhou, L.; Lyu, A. Investigating natural drivers of vegetation coverage variation using modis imagery in qinghai, china. J. Arid Land 2016, 8, 109-124.
[12] Lv, A.*; Zhou, L*. A rainfall model based on a geographically weighted regression algorithm for rainfall estimations over the arid qaidam basin in china. Remote Sensing 2016, 8, 311. (Co first author, SCI)
[13] Wu, J.; Zhou, L.*; Mo, X.; Zhou, H.; Zhang, J.; Jia, R. Drought monitoring and analysis in China based on the Integrated Surface Drought Index (ISDI). International Journal of Applied Earth Observation and Geoinformation, 2015, 41(0): pp 23-33.
[14] Wu, J.; Zhou, L.*; Liu, M.; Zhang, J.; Leng, S.; Diao, C. Establishing and assessing the integrated surface drought index (isdi) for agricultural drought monitoring in mid-eastern china. International Journal of Applied Earth Observation and Geoinformation 2013, 23, 397-410.
[15] Zhang, F.; Liu, X.; Zhou, L.; Yu, Y.; Wang, L.; Lu, J.; Wang, W.; Krafft, T. Spatiotemporal patterns of particulate matter (pm) and associations between pm and mortality in shenzhen, china. BMC Public Health 2016, 16, 1-11.
[16] Li, M.; Ren, X.; Zhou, L.; Zhang, F. Spatial mismatch between pollutant emission and environmental quality in china — a case study of nox. Atmospheric Pollution Research 2016, 7, 294-302.
[17] Zhang, J.; Wu, J.; Zhou, L. Deriving vegetation leaf water content from spectrophotometric data with orthogonal signal correction-partial least square regression. International Journal of Remote Sensing. 2011, 32(22): 7557-7574.
[18] Wu, J.; He, B.; Lue, A.; Zhou, L.; Liu, M.; Zhao, L. Quantitative assessment and spatial characterristics analysis of agricultural drought vulnerability in china. Natural Hazards 2011, 56, 785-801.
[19] Wu, J.; Zhang, J.; Lue, A.; Zhou, L. An exploratory analysis of spectral indices to estimate vegetation water content using sensitivity function, Remote Sensing Letters. 2012, 3(2): 161-169
[20] Zhang, F.; Krafft, T.; Ye, B.; Zhang, F.; Zhang, J.; Luo, H.; Li, M.; Zhang, Y.; Zhou, L.; Xu, J., et al. The lag effects and seasonal differences of air pollutants on allergic rhinitis in Beijing. Science of The Total Environment, 2013, 442(0): 172-176.
[21] Wang S., Li G., Gong Z., Du L., Zhou Q., Meng X., Xie S., Zhou L. Spatial distribution, seasonal variation and regionalization of PM2.5 concentrations in China. Science China (Chemistry), 2015, 58(9): pp 1435-1443.
国际会议论文：
[22] Yani, W.; Siyu, W.; Lei, Z.*; Qiang, C.; Mingyi, D.; Changfeng, J.; Ming, L.; Yang, L. Estimation of PM2.5 Concentration in Beijing-Tianjin-Hebei Region Through Global Resolved Datasets. In Proceedings of IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 28 July-2 Aug. 2019, Piscataway, NJ, USA; pp. 7439-7442.
[23] Zhou L., Fu J., Wu J., Han X., Chen Q., Du M., Jing C. Integrated surface drought index (ISDI) application in China for drought monitoring. 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, July 22, 2018 - July 27, 2018. 2018. pp 7775-7778. Valencia, Spain. (EI)
[24] Zhou, L. et al. Daily rainfall model to merge TRMM and ground based observations for rainfall estimations, Geoscience and Remote Sensing Symposium (IGARSS), 2016 IEEE International, 10-15 July 2016, 2016; pp 601-604. (EI)
[25] Zhou, L. et al. The investigation of relationship between integrated surface drought index (ISDI) detected drought condition and crop yield, Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International, 13-18 July 2014, 2014; pp 2050-2053. (EI)
[26] Zhou, L. et al., 2013. Evaluation of integrated surface drought index (ISDI) via precitpitation data and soil moisture, IEEE International Geoscience and Remote Sensing Symposium, Melbourne, Australia. (EI)
[27] Zhou, L. et al., 2012. Using a new integrated drought monitoring index to improve drought detection in mid-eastern China, IEEE International Geoscience and Remote Sensing Symposium, Munich, Germany. (EI)
[28] Zhou, L. Wu, J. Zhang, J. et al., Assessing the drought monitoring characteristic of time-series NDVI indices in crop growing season, in 2010 IEEE International Geoscience and Remote Sensing Symposium. July 25-30, 2010: Honolulu, Hawaii, USA. (EI)
[29] Wu, J. Zhou, L.*, Zhang, J. et al., Analysis of Relationships among Vegetation Condition Indices and Multiple-time Scale SPI of Grassland in Growing Season, in The 18th International Conference on Geoinformatics. June 18-20, 2010: Beijing, China. (Corresponding Authour , EI)
[30] Zhang, J. Wu, J. Zhou, L. Retrieval of fuel moisture content from hyperspectral data via partial least square, in 2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). July 25-30, 2010: Honolulu, Hawaii, USA. (EI)
[31] Zhang, J. Wu, J. Zhou, L. Estimation of vegetation equivalent water thickness using hyperspectral data and partial least square regression, in The 18th International Conference on Geoinformatics. June 18-20, 2010: Beijing, China. (EI)
[32] Wu, J. Zhang, J. Zhou, L. Jianliang Nie. Performance evaluation of spectral indices to estimate equivalent water thickness, in 2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). July 25-30, 2010: Honolulu, Hawaii, USA. (EI)
中文期刊论文：
[1] 周磊, 等, 柴达木盆地土壤盐渍化程度快速动态监测. 测绘科学, 2021. 46(07): p. 99-106+114. (CSCD)
[2] 祝一诺;高婷;王术东;周磊*;杜明义等. 基于迁移学习再训练模型和高分遥感数据的建筑垃圾自动识别方法, 遥感技术与应用. (CSCD)
[3] 周磊, 武建军, 贾瑞静, 等, 京津冀PM2.5时空分布特征及其污染风险因素, 环境科学研究, 2016, 29, (4): 483-493. (CSCD)
[4] 周磊, 武建军, 张洁. 以遥感为基础的干旱监测方法研究进展. 地理科学, 2015, 35(5): 630-636. (CSCD)
[5] 周磊, 武建军, 吕爱锋等, 华北不同地表覆盖类型区干旱演变特征分析. 地理研究, 2012. 31(4): p. 597-607. (CSCD)
[6] 周磊, 樊彦国, 武建军等, 基于MAPGIS的安泽县地形图库管理系统的设计实现. 测绘科学. 2009, 34(增刊): 127-129. (CSCD)
[7] 李名升, 任晓霞, 于洋, 周磊*, 中国大陆城市PM2.5污染时空分布规律, 中国环境科学, 2016, 36, (3): 641-650. (责任作者，EI（20161602262675）)
[8] 刘大川, 周磊, 武建军. 干旱对华北地区植被变化的影响. 北京师范大学学报（自然科学版）, 2017, 53(2): 222-228. (CSCD)
[9] 吕爱锋, 周磊, 朱文彬. 青海省土地荒漠化遥感动态监测. 遥感技术与应用. 2014, 29, 803-811. (CSCD)
[10] 李名升, 周磊, 陈远航, 等. 经济结构调整的污染减排效应: 以COD减排为例. 环境科学. 2014, 35(8): 3212-3218. (CSCD)
[11] 樊彦国, 周磊, 李瑞华. 对地图代数的几点认识. 山东理工大学学报. 2006, 20(7): 10-13. (CSCD)
[12] 冷松, 武建军, 周磊. 利用多波段遥感干旱监测方法研究. 干旱区资源与环境, 2013, 27, (2), pp. 102-107. (CSCD)
[13] 李名升, 任晓霞, 周磊, 等. 中国大气SO2 污染与排放的空间分离分析. 环境科学学报, 2013, 33(4): 1150-1157. (CSCD)
[14] 张洁, 武建军, 周磊, 等. 基于MODIS数据的农业干旱监测方法对比分析. 遥感信息, 2012, 27(5): 48-54. (CSCD)
[15] 李名升, 张建辉, 张殷俊, 周磊, 等. 近10年中国大气PM10污染时空格局演变. 地理学报, 2013, 68(11):1504-1512. (CSCD)
[16] 林兰钰, 张建辉, 周磊, 等. 2008-2013年全国地表水高锰酸盐指数污染特征分析. 中国环境监测.2014, 30(5): 48-51. (CSCD)
[17] 何斌, 赵林, 刘明, 周磊. 湖南省农业旱灾风险综合分析与定量评价. 安徽农业科学, 2010, 38(3): 1559-1562. (CSCD)
[18] 聂建亮, 武建军, 杨曦, 刘明, 张洁, 周磊. 基于地表温度-植被指数关系的地表温度降尺度方法研究. 生态学报, 2011, 31(17): 4961-4969. (CSCD)
[19] 林兰钰, 罗海江, 李茜, 张凤英, 周磊, 等. 流域污染分异特征及成因分析. 中国环境监测. 2015, 31(2): 57-63. (CSCD)
