扬州大学教师个人主页服务平台 Minghan Cheng--Home--Paper Publications

Minghan Cheng 中级

程明瀚，男，讲师，硕士生导师，2022年6月于河海大学获得工学博士学位。扬州大学青年百人。主要从事植物表型、农业遥感及水文遥感等领域的研究。以第一作者身份在Earth System Science Data，Agricultural and Forest Meteorology，Agricultural Water Management等领域内知名SCI期刊发表学术论文12篇。主持国家自然科学基金青年项目，江苏省自然科学基金青年项目，中国博士后基金面上项目，扬州大学科研启动基金等项目多项...Detials

Paper Publications Current position: Home > Scientific Research > Paper Publications

[1] Minghan Cheng,孙成明,聂臣巍,刘帅兵,余汛,白怡,金秀良,崔腾宇.Evaluation of UAV-based drought indices for crop water conditions monitoring: A case study of summer maize.AGRICULTURAL WATER MANAGEMENT,2023,287
[2] Minghan Cheng,殷大萌,吴文斌,崔宁波,聂臣巍,史梁生,金秀良,刘帅兵.A review of remote sensing estimation of crop water productivity: definition, methodology, scale, and evaluation.INTERNATIONAL JOURNAL OF REMOTE SENSING,2023,44(16)5033-5068.
[3] Minghan Cheng,缴锡云,石磊,潘纽拉斯,库玛尔,吴文斌,金秀良,聂臣巍.High-resolution crop yield and water productivity dataset generated using random forest and remote sensing.SCIENTIFIC DATA,2022,9(1)
[4] Minghan Cheng,殷大萌,吴文斌,崔宁波,聂臣巍,史梁生,金秀良,刘帅兵.A review of remote sensing estimation of crop water productivity: definition, methodology, scale, and evaluation.INTERNATIONAL JOURNAL OF REMOTE SENSING,2023,44(16)5033-5068.
[5] Minghan Cheng,孙成明,聂臣巍,刘帅兵,余汛,白怡,金秀良,崔腾宇.Evaluation of UAV-based drought indices for crop water conditions monitoring: A case study of summer maize.AGRICULTURAL WATER MANAGEMENT,2023,287
[6] Minghan Cheng,缴锡云,石磊,潘纽拉斯,库玛尔,吴文斌,金秀良,聂臣巍.High-resolution crop yield and water productivity dataset generated using random forest and remote sensing.SCIENTIFIC DATA,2022,9(1)
[7] Satellite time series data reveal interannual and seasonal spatiotemporal evapotranspiration patterns in China in response to effect factors.Agricultural Water Management,2021,
[8] Long time series of daily evapotranspiration in China based on the SEBAL model and multisource images and validation.Earth System Science Data,2021,
[9] Using multimodal remote sensing data to estimate regional-scale soil moisture content: A case study of Beijing.Agricultural Water Management,2022,
[10] Estimation of soil moisture content under high maize canopy coverage from UAV multimodal data and machine learning.Agricultural Water Management,2022,

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