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黄登红高级实验师
2025-07-12 17:36  

黄登红,1990年生,贵州省安龙县人,高级实验师,硕士生导师,2017年至今在贵州师范大学工作。主要研究方向:喀斯特山地无人机遥感、喀斯特地表过程遥感。主持完成贵州省基金项目、毕节市科技项目各1项,在研省科技支撑计划项目1项,参与国家重点研发计划项目、国家自然科学基金、省重大专项和省市县社会服务项目等40余项,合作发表论文70余篇,排1授权国家发明专利5件、计算机软件著作权2项。

招生方向:地图学与地理信息系统、风景园林

E-mailhdh@gznu.edu.cn

 

1、主持和参与项目

[1] 贵州省科学技术基金项目,高原山区特色农作物超低空遥感特征构建与识别方法研究,主持,结题.

[2] 贵州省科技支撑项目,基于乡村振兴的石漠化治理生态产业云平台建设关键技术研究, 主持,在研.

2、代表性论文

[1] Huang D, Zhou Z*, Huang C, et al. Semantic Reconstruction of Land Cover Classification in Karst Regions: A Natural-Attribute-Based NALCC Framework[J]. Agronomy, 2026, 16(11), 1026. SCI二区)

[2] Huang D, Zhou Z*, Zhang Z, et al. Land Use/Land Cover Remote Sensing Classification in Complex Subtropical Karst Environments: Challenges, Methodological Review, and Research Frontiers[J]. Applied Sciences-Basel, 2025, 15(17): 9641. SCI四区)

[3] Du X, Huang D*, Dai L, et al. Recognition of Plastic Film in Terrain-Fragmented Areas Based on Drone Visible Light Images[J]. Agriculture-Basel, 2024, 14(5): 736. SCI二区)

[4] Huang D, Zhou Z*, Zhang Z, et al. Extraction of agricultural plastic film mulching in karst fragmented arable lands based on unmanned aerial vehicle visible light remote sensing [J]. Journal of Applied Remote Sensing, 2022, 16(3): 0365111-03651124. SCI四区)

[5] Huang D, Zhou Z*, Zhang Z, et al. Recognition and counting of pitaya trees in karst mountain environment based on unmanned aerial vehicle RGB images[J]. Journal of Applied Remote Sensing, 2021, 15(4): 0424021-04240224. SCI四区)

[6] 黄登红,周忠发*,彭睿文,等.西南高原山区作物低空遥感挑战与主要研究进展——以贵州省为例[J]. 贵州师范大学学报(自然科学版), 2021, 39(5):53-61.CSCD

[7] 黄登红,周忠发*,王历,. 贵州省生态保护红线云GIS监管平台研究与实现[J]. 现代电子技术, 2018, 41(8): 87-91. 北大核心)

[8] Du S, Zhou Z*, Huang D, et al. Evaluation of Habitat Quality in Karst Mountainous Areas of Guanling County Based on InVEST and MGWR Models[J]. Land, 2025, 14(7): 1-22. SCI三区)

[9] Dai Q, Zhou Z*, Huang D, et al. Response of land cover to multi-scale spatial effects in complex karst mountainous areas[J]. Geocarto International, 2025, 40(1): 2513520. SCI四区)

[10] Yang Y, Zhou Z*, Huang D, et al. A comparative analysis of the applicability of typical land cover datasets in the karst strongly heterogeneous terrain in Southern China[J]. Geocarto International, 2024, 39(1): 2395318. SCI四区)

[11] Du X, Zhou Z*, Huang D. Influence of Spatial Scale Effect on UAV Remote Sensing Accuracy in Identifying Chinese Cabbage (Brassica rapa subsp. Pekinensis) Plants[J]. Agriculture-Basel, 2024, 14(11): 1871. SCI二区)

[12] Dong F, Zhou Z*, Huang D, et al. Spatial–Temporal Variation and the Influencing Factors of NO2 Column Concentration in the Plateau Mountains of Southwest China[J]. Atmosphere, 2024, 15(11): 1263. SCI四区)

[13] Du S, Zhou Z*, Huang D, et al. The Response of Carbon Stocks to Land Use/Cover Change and a Vulnerability Multi-Scenario Analysis of the Karst Region in Southern China Based on PLUS-InVEST[J]. Forests, 2023, 14(12): 2307. SCI二区)

[14] Zhang F, Zhou Z*, Huang D. Dynamic monitoring and analysis of factors influencing ecological quality in rapidly urbanizing areas based on the Google Earth Engine[J]. Geocarto International, 2023, 38(1): 2256299. SCI四区)

[15] Zhang Z, Xiong K*, Huang D. Natural world heritage conservation and tourism: a review[J]. Heritage Science, 2023, 11(1): 55. SCI一区)

[16] Zhang Z, Xiong K*, Huang D, et al. Spatial Zoning of the Value Realization Models for Ecological Products in Shibing Karst Natural World Heritage Site. Forests. 2023; 14(7):1449. SCI二区)

[17] Zhang, J, Zhou, Z*, Huang, D. Extraction of Impermeable Surfaces Based on Multi-Source Nighttime Light Images of Different Geomorphological Partitions[J]. Applied Sciences-Basel, 2023, 13, 3006. SCI四区)

[18] Li Q, Yan L, Huang D, et al. Construction of a small sample dataset and identification of Pitaya trees (Selenicereus) based on UAV image on close-range acquisition[J]. Journal of Applied Remote Sensing, 2022, 16(2): 024502. SCI四区)

[19] Sun Y, Zhou Z*, Huang D, et al. The Spatial and Temporal Evolution Pattern and Transformation of Urban–Rural Construction Land in Karst Mountainous Areas: Qixingguan District of Guizhou, Southwest China[J]. Land, 2022, 11(10): 1734. SCI三区)

[20] Wang Y, Zhou Z*, Huang D, et al. Identifying and Counting Tobacco Plants in Fragmented Terrains Based on Unmanned Aerial Vehicle Images in Beipanjiang, China[J]. Sustainability, 2022, 14(13): 8151. SCI四区)

[21] Zhu M, Zhou Z*, Huang D, et al. Extraction method for single Zanthoxylum bungeanum in karst mountain area based on unmanned aerial vehicle visible-light images[J]. Journal of Applied Remote Sensing, 2021, 15(2): 026501. SCI四区)

 

一审(校):黄登红; 二审(校):邓琴; 三审(校):朱大运

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