【论文】
[1] Yang Yingpin, Zou Jiajun, Huang Yu, Wu Zhifeng*, Fang Ting, Xue Jia, Wang Dakang, Wang Yibo, Wang Jinnian, Yang Xiankun, Huang Qiting. Investigating the Earliest Identifiable Timing of Sugarcane at Early Season Based on Optical and SAR Time-Series Data. Remote Sensing, 2025, 17, 2773.
[2] Yang Yingpin, Wu Zhifeng, Wang Dakang, Wang Cong, Yang Xiankun, Wang Yibo*, Wang Jinnian, Huang Qiting, Hou Lu, Wang Zongbin, Chang Xu. Sugarcane Phenology Retrieval in Heterogeneous Agricultural Landscapes Based on Spatiotemporal Fusion Remote Sensing Data. Agriculture, 2025, 15, 1578.
[3] 范雨欣,王紫莹, 杨颖频, 侯璐, 吴志峰, 王晋年, 王戌梅, 药用植物资源遥感监测研究进展. 遥感学报. 2026. 30(7): p. 1982-1996.
[4] Yang Yingpin, Wu Zhifeng*, Xiao Wenju, Zhou Yanan, Huang Qiting, Wu Tianjun, Luo Jiancheng, Wang Haiyun. Abandoned land mapping based on spatiotemporal features from PolSAR data via deep learning methods[J]. Remote Sensing, 2023, 15, 3942.
[5] Yang Yingpin, Huang Qiting, Wu Zhifeng, Wu Tianjun, Luo Jiancheng, Dong Wen, Sun Yingwei, Zhang Xin, Zhang Dongyun. Mapping crop leaf area index at the parcel level via inverting a radiative transfer model under spatiotemporal constraints: A case study on sugarcane[J]. Computers and Electronics in Agriculture, 2022, 198: 107003.
[6] Yang Yingpin, Huang Qiting, Wu Wei, Luo Jiancheng, Gao Lijing, Dong Wen, Wu Tianjun, and Hu Xiaodong. Geo-parcel based crop identification by integrating high spatial-temporal resolution imagery from multi-source satellite data[J]. Remote Sensing, 2017, 9(12): 1298.
[7] Yang Yingpin, Luo Jiancheng, Huang Qiting, Wu Wei, and Sun Yingwei. Weighted double-logistic function fitting method for reconstructing the high-quality sentinel-2 NDVI time series data set[J]. Remote Sensing, 2019, 11(20): 2342.
[8] Yang Yingpin, Huang Qiting, Luo Jiancheng, Wu Wei, and Sun Yingwei. Improved sugarcane LAI estimation using radiative transfer models with spatial constraint[C]//2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics). IEEE, 2019: 1-5.
[9] Shen Jiwei, Zhu Ziwen, Wang Dakang*, Yang Yingpin*, Mo Yongru, Xia Hui, Yang Xiankun, Wang Yibo, Li Zhen, Wang Jinnian. Evaluation of the Coupling Coordination Degree Between PM2.5 and Urbanization Level: A Case in Guangdong Province. Sustainability 2025, 17, 6751.
[10] Cen Yi, Hou Lu, Gao Xiaojie, Liu Kai, Li Yao, Shen Yu, Yang Yingpin, Wang Zongbin, Wang Jinnian. Temporally extending long-term forest productivity dynamics using Landsat-derived vegetation index and phenology. Agricultural and Forest Meteorology, 2026, 377:110952.
[11] 杨颖频, 吴志峰, 黄启厅, 骆剑承, 吴田军, 董文, 胡晓东, 肖文菊. 协同遥感与统计数据的粤西甘蔗种植分布提取及时空分析[J]. 地球信息科学学报, 2023, 25(5): 1012-1026.
[12] 杨颖频, 吴志峰, 骆剑承, 黄启厅, 张冬韵, 吴田军, 孙营伟, 曹峥, 董文, 刘巍. 时空协同的地块尺度作物分布遥感提取[J]. 农业工程学报, 2021, 37(7):166-174.
[13] 肖文菊, 杨颖频*, 吴志峰, 郑少兰. 基于时序遥感的撂荒地监测及空间格局特征分析[J]. 热带地理, 2024, 44(03):547-556.
[14] 林妙萍, 杨颖频*, 吴志峰, 徐国良, 黄永芳, 许志明. 基于M-TWDTW模型的粤北山区耕地撂荒遥感监测研究[J]. 地理空间信息,2023,21(12):29-34.
[15] 杨颖频, 罗翊, 吴志峰, 王晋年, 杨现坤, 黄启厅, 王聪, 骆剑承. 气象要素驱动的甘蔗成熟期遥感预测研究. 广州大学学报（自然科学版）,2025, 24(6): 28-37.
[16] 王宗彬, 杨颖频*, 王晋年, 杨现坤, 吴志峰. 气象要素驱动的甘蔗成熟期遥感预测研究. 广州大学学报（自然科学版）, 2026. 25(2): p. 97-108.
[17] 肖文菊, 杨颖频, 吴志峰. 多云多雨区耕地撂荒多源遥感协同监测[J].自然资源遥感,2025,37(02):39-48.
[18] He Xinjie, Dewei Yang, Qiting Huang, Cunsui Liang, Yingpin Yang, Guoxue Xie, Zelin Qin, Runxi Pan, and Yuning Xie. Satellite-Constrained Estimation of Emissions from Crop Residue Open Burning in Guangxi, Southern China (2017–2023). Fire, 2026. 9(3): p. 132.
[19] Zhou Ya’nan, Luo Jiancheng, Feng Li, Yang Yingpin, Chen Yuehong, and Wu Wei. Long-short-term-memory-based crop classification using high-resolution optical images and multi-temporal SAR data[J]. GIScience & Remote Sensing, 2019, 56(8): 1170-1191.
[20] Zhang Mengjie, Miao Wenwei, Yang Yingpin, Peng Chong, and Huang Yaping. Spatial-Temporal Features of Wuhan Urban Agglomeration Regional Development Pattern—Based on DMSP/OLS Night Light Data[J]. Journal of Building Construction and Planning Research, 2017, 5(01): 14.
[21] Liu Hao, Luo Jiancheng, Huang Bo, Hu Xiaodong, Sun Yingwei, Yang Yingpin, Xu Nan, and Zhou Nan. DE-Net: Deep Encoding Network for Building Extraction from High-Resolution Remote Sensing Imagery[J]. Remote Sensing, 2019, 11(20): 2380.
[22] 黄启厅, 骆剑承, 覃泽林, 杨颖频, 史舟. 热红外高光谱测量中非目标因素的影响[J]. 遥感信息, 2017 5: 8-14.
[23] 骆剑承, 吴田军, 吴志峰, 周亚男, 郜丽静, 孙营伟, 吴炜, 杨颖频, 胡晓东, 张新. 地理图斑智能计算及模式挖掘方法研究[J]. 地球信息科学学报, 2020, 22(1): 57-75.
[24] 吴志峰, 骆剑承, 孙营伟, 吴田军, 曹峥, 刘巍, 杨颖频, 王玲玉. 时空协同的精准农业遥感研究[J]. 地球信息科学学报, 2020, 22(4): 731-742.
【专著】
骆剑承，吴田军，李均力 等. 遥感图谱认知. 北京：科学出版社，2017（参与编著）
骆剑承，吴田军，吴志峰 等. 遥感大数据智能计算. 北京：科学出版社，2020（参与编著）
【专利】
基于植被季相变化的耕地撂荒监测方法、装置和存储介质，授权号 ZL 2022 1 0995735.7，杨颖频，肖文菊，吴志峰
一种地块时空特征约束下的农作物叶面积指数遥感反演方法及系统，授权号ZL 2022 1 0292261.X，杨颖频，吴志峰，黄启厅，骆剑承
