黄滟茹，博士，中国科学院空天信息创新研究院，主要从事植被定量遥感及应用研究。
教育经历：
2019-09至2024-06，中国科学院空天信息创新研究院，博士
2015-09至2019-06，四川农业大学，学士
研究方向：
植被定量遥感及应用研究
主持或参加科研项目：
[1] 国家自然科学基金面上项目“草地贪夜蛾适生区遥感提取与发生预测研究”（42071320）
[2] 中科院空天信息创新研究院重点部署项目“基于AI遥感的全球迁飞性害虫监测预警”（E0Z205010F）
[3] 国家重点研发计划“农情高频立体监测与集约共享式精细服务应用示范”（2021YFB3901303）
代表论著：（包括：论文和专著）:
[1] Huang Y, Dong Y, Huang W, et al. Predicting the Global Potential Suitable Distribution of Fall Armyworm and Its Host Plants Based on Machine Learning Models[J]. Remote Sensing, 2024, 16(12): 2060.
[2] Huang Y, Lv H, Dong Y, et al. Mapping the spatio-temporal distribution of fall armyworm in China by coupling multi-factors[J]. Remote Sensing, 2022, 14(17): 4415.
[3] Huang Y, Dong Y, Huang W, et al. Overwintering distribution of fall armyworm (Spodoptera frugiperda) in Yunnan, China, and influencing environmental factors[J]. Insects, 2020, 11(11): 805.
[4] Wang J, Huang Y, Huang L, et al. Migration risk of fall armyworm (Spodoptera frugiperda) from North Africa to Southern Europe[J]. Frontiers in Plant Science, 2023, 14: 1141470.
[5] Bai J, Niu Z, Gao S, Bi K-Y, Wang J, Huang Y-R, Sun G. An exploration, analysis, and correction of the distance effect on terrestrial hyperspectral LiDAR data [J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2023, 198: 60–83.
[6] Guo J, Lu L-H, Dong Y-Y, Huang W-J, Zhang B, Du B-B, Ding C, Ye H-C, Wang K, Huang Y-R, et al. Spatiotemporal Distribution and Main Influencing Factors of Grasshopper Potential Habitats in Two Steppe Types of Inner Mongolia, China [J]. Remote Sensing, 2023, 15(3): 866.
[7] Geng Y, Zhao L-L, Huang W-J, Dong Y-Y, Ma H-Q, Guo A-T, Ren Y, Xing N-C, Huang Y-R, et al. A Landscape-Based Habitat Suitability Model (LHS Model) for Oriental Migratory Locust Area Extraction at Large Scales: A Case Study along the Middle and Lower Reaches of the Yellow River [J]. Remote Sensing, 2022, 14(5): 1058.
[8] Bai J, Gao S, Niu Z, Zhang C-S, Bi K-Y, Sun G, Huang Y-R. A Novel Algorithm for Leaf Incidence Angle Effect Correction of Hyperspectral LiDAR [J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1–9.
[9] Ren Y, Huang W-J, Ye H-C, Zhou X-F, Ma H-Q, Dong Y-Y, Shi Y, Geng Y, Huang Y-R, et al. Quantitative identification of yellow rust in winter wheat with a new spectral index: Development and validation using simulated and experimental Data [J]. International Journal of Applied Earth Observation and Geoinformation, 2021, 102: 102384.
[10] Guo P, Li T, Gao H, Chen X-W, Cui Y-F, Huang Y-R. Evaluating Calibration and Spectral Variable Selection Methods for Predicting Three Soil Nutrients Using Vis-NIR Spectroscopy [J]. Remote Sensing, 2021, 13(19): 4000.