高燕 博士/教授 Ph.D. Professor Yan GAO

发布者：郭鑫发布时间：2021-09-10浏览次数：11112


高  燕 Yan GAO

教授（Professor）

卫星遥感在土地利用变化，森林退化，和城市生态评估中的应用


教育背景

博士，墨西哥国立自治大学，地理学，

硕士，荷兰地球信息科学与地球观测国际学院，自然灾害研究

学士，新疆大学，经济地理

Email：ygao@shnu.edu.cn


高燕教授的主要研究方向是遥感在土地利用变化，森林退化，生物量评估，以及城市生态中的应用。她发表在SCOPUS和Web of Science收录期刊论文近40篇，指导本科生、以及硕士生和博士生论文。主持过墨西哥国家人文，科学和技术理事会基础科学类项目以及墨西哥国立大学，技术创新支持计划项目。参与过欧盟和墨西哥国家政府支持项目。她是墨西哥国家研究员系统二级研究员 (2022-2026年) ，墨西哥米却肯州的荣誉研究员（2024-2027 年），并因其学术成就被墨西哥国立自治大学授予 “Sor Juana Inés de la Cruz” 荣誉奖。


工作经历

2025.03至今，上海师范大学环境与地理科学学院，教授

2013.04 – 2025.01，墨西哥国立自治大学，研究员

2010.12 – 2013.03，北海道大学，博士后

2010.09 – 2010.11，墨西哥国立自治大学，项目技术支持

2008.09 – 2010.08，墨西哥国立自治大学，博士后

2003.11 – 2004.08，墨西哥国立自治大学，研究助理


研究项目

  1. 主持，Mapeo de la degradación forestal en México utilizando datos de serie de tiempo de índice de vegetación del sensor MODIS（利用 MODIS 植被指数时间序列数据研究墨西哥森林退化），UNAM, PAPIIT IA104117（墨西哥国立自治大学研究与技术创新项目支持计划），2017.01 – 2018.12

  2. 主持，Análisis del patrón espacial de la degradación en selvas y bosques de México con percepción remota en múltiples escalas en el tiempo y espacio（利用遥感技术在多个时间和空间尺度上分析墨西哥森林和丛林退化的空间模式），Consejo Nacional de Humanidades, Ciencias, y tecnologías (CONACYT )Ciencia Básica SEP-285349（墨西哥国家人文、科学和技术理事会），2018.06 – 2022.06

  3. 参与，Hacia una mejor comprensión de la degradación forestal en el contexto de REDD+（在 REDD+背景下更好地理解森林退化问题），UNAM,PAPIITIN300519（墨西哥国立自治大学研究与技术创新项目支持计划），2019.08 – 2022.08

  4. 参与，Bioenergy,sustainability, and tradeoffs can we avoid deforestation while promoting biofuels（生物能源、可持续性和权衡：我们能否在推广生物燃料的同时避免砍伐森林），海外政府项目（欧盟），2008.09- 2010.09

  5. 参与，Inventario 2008-2010 e impacto ambiental regional del cultivo aguacate（2008-2010 年牛油果种植地面调查和区域环境影响），海外政府项目 Fundacion produce Michoacan（墨西哥米却肯州生产基金会），2010.04 – 2011.04



学术论文

  1. Yan Gao, J.F. Mas, B.H.P. Maathuis, X. Zhang, P.M. Van Dijk. 2006. Comparison of pixel-based and object-oriented image classification approaches – a case study in a coal fire area, Wuda, Inner Mongolia, China. International Journal of Remote Sensing (27)18, 4039 - 4055.  

  2. Yan Gao, J.F. Mas. 2008. A Comparison of the Performance of Pixel Based and Object Based Classifications over Images with Various Spatial Resolutions. Online Journal of Earth Sciences, 2(1), 27 – 35. 

  3. Yan Gao, N. Kerle, J.F. Mas. 2009. Object-based image analysis for coal fire-related land cover mapping in coal mining areas. Geocarto International(24) 1, 25 - 36. 

  4. Yan Gao, J.F. Mas, J.A. Navarrete Pacheco. 2009. The improvement of an object-oriented classification using multi-temporal MODIS EVI satellite data. International Journal of Digital Earth, 2:3, 219 – 236.

  5. Mas, J.F., Yan Gao, J.A. Navarrete Pacheco. 2010. Sensitivity of landscape pattern metrics to classification approaches. Forest Ecology and Management, 259:7, 1215 - 1224. 

  6. Yan Gao, M. Skutsch, R. Drigo, P. Pacheco, O. Masera. 2011. Assessing deforestation from biofuels: Methodological challenges. Applied Geography. 31(2), 508 - 518. 

  7. Yan Gao, J.F. Mas, N. Kerle, J.A. Navarrete Pacheco. 2011. Optimal region growing segmentation and its effect on classification accuracy. International Journal of Remote Sensing. 32:13, 3747 - 3763. 

  8. Yan Gao, P. Marpu, I. Niemeyer, D.M. Runfola, N.M. Giner, T. Hamill, Jr. R.G. Pontius. 2011. Object-based classification with features extracted by a semi-automatic feature extraction algorithm – SEATH. Geocarto International, 26:5, P 431. 

  9. Skutsch, M., E. de los Rios, S. Solis, E. Riegelhaupt, D. Hinojosa, S. Gerfert, Yan Gao, O. Masera. 2011. Jatropha in Mexico: environmental and social impacts of an incipient biofuel programme. Ecology and Society, 16(4):11. 

  10. Pontius, Jr., R.G., Yan Gao, T. Kohyama, M. Osaki, and K. Hirose. 2013. Design and interpretation of Intensity Analysis illustrated by land change in Kalimantan, Indonesia. Land, 2 (3), 351 - 369. 

  11. Zhu, B., J. Yu, P. Rioual, Gao, Y P. Wang, Y. Zhang, L. Min, Ch. Du, X. Wang, H. Xing. 2014. Atmospheric precipitation recharge on groundwater in desert areas and its environmental implications – a case review of the lake-Holocene records from the Alashan Plateau. Quaternary Sciences (34) 5: 994 - 1012. 

  12. Skutsch, M., Mas, J.F., Bocco, G., Bee, B., Cuevas, G., Yan Gao. 2014. Deforestation and land tenure in Mexico: a response to Bonilla-Moheno et al. Land Use Policy. 39, 390 - 396. ISSN‎ ‎0264 - 8377.  

  13. Zhu, B., J. Yu, P. Rioual, Yan Gao, Y. Zhang, L. Min. 2014. Geomorphoclimatic characteristics and landform in formation in the Ejina Basin, Northwest China. Environmental Earth Science. 73: 7547 - 7560. 

  14. Pacheco, P., Wardell, DA., German, L., Johnson, FX., Bird, N., van Gelder, JW., Schwaiger, H., Schoneveld, G., Obidzinski, K., Guariguata, M., Skutsch, M., Masera, O., Gao, Y., von Maltitz, G., Achten, WMJ., Verchot, LV., Komarudin, H., & Andriani, R. 2012. Synthesis Bioenergy, Sustainability and Trade-offs: Can we Avoid Deforestation while Promoting Biofuels? Infobriefs. No. 54.

  15. Skutsch, M., A. Borrego, L. Morales-Barquero, J. Paneque-Galvez, M. Salinas, I. Ramirez, D. Perez-Salicrup, D. Benet, S. Monroy, Yan Gao. 2015. Opportunities, constraints and perceptions of rural communities regarding their potential to contribute to forest landscape transitions under REDD+: case studies from Mexico. International Forestry Review. 17(S1) 65 - 84. 

  16. Siliceo-Cantero, H.H., G. Andres, Yan Gao. 2016. Abundance and hábitat use of the lizard Sceloporus utiformis (Squamata: Phrynosomatidae) during seasonal transitional in a tropical environment. Revista Mexicana de Biodiversidad, 87(4), 1301 - 1307. 

  17. Yan Gao, A. Ghilardi, J. Paneque-Galvez, M. Skutsch, J.F. Mas. 2016. Validation of MODIS Vegetation Continuous Fields for monitoring deforestation and forest degradation: two cases in Mexico. Geocarto International. 31(9). 1019 - 1031. 

  18. Hutter, S.E., A. Kasbohrer, S. Fallas Gonzales, B. Leon, K. Brugger, M. Baldi, M. Romero, Yan Gao, L.F. Chaves. 2018. Assessing changing weather and the El Niño Southern Oscillation impacts on cattle rabies outbreaks and mortality in Costa Rica (1985 - 2016). Veterinary Research, 14(1):285.

  19. Yan Gao, A. Ghilardi. J.F. Mas, A. Quevedo, J. Paneque-Galvez, M. Skutsch. 2018. Assessing Forest change in Mexico using annual MODIS VCF data (2000 – 2010), International journal of Remote Sensing. 39(22): 7901 - 7918. 

  20. Adame-Campos, R.L., A. Ghilardi, Yan Gao, J. Paneque-Gálvez, J.F. Mas. 2019. Variables selection for abovegroundbiomass estimations: a comparison between relative importance approach and stepwise AKAIKE’s information criterion. ISPRS international Journal of Geo-Information. 8(6), 245. 

  21. Yan Gao, A. Quevedo, S. Zantoi, M. Skutsch. 2019. Monitoring Forest disturbance using time series MODIS NDVI in Michoacan, Mexico. Geocarto International, 36(15), 1768 - 1784. 

  22. Farfan Gutierrez, M., Flamenco Sandoval, A., Rodriguez Padilla, C.R., Rodrigues de Sousa santos, L., Gonzalez Gutierrez, L., & Yan Gao. 2020. Cartografía de la probabilidad de ocurrencia a incendios forestales para el estado de Guanajuato: Una aproximación antrópica de sus fuentes de ignición. Acta Universitaria 30, e2953. 

  23. Solorzano, J.V., Mas, J.F., Yan Gao, Gallardo-Cruz, J.A., 2020, Patrones espaciotemporal de las observaciones de Sentinel-2 a nivel de imagen y pixel sobre el territorio mexicano entre 2015 y 2019. Revista de Teledetección, 56, 103 - 115.  

  24. Yan Gao, Skutsch Margaret, Paneque-Galvez Jaime, Ghilardi Adrian. 2020. Remote Sensing of forest degradation: A review. Environmental Research Letters, 15(10), 103001. 

  25. Yan Gao, Skutsch Margaret, Diana Laura Jimenez Rodriguez, Jonathan V. Solorzano. 2020. Identifying Variables to Discriminate between Conserved and Degraded Forest and to Quantify the Differences in Biomass. Forests, 11(9), 1020.  

  26. Rigg, C.A., Perea, M., Gonzalez, K., Saldaña, A., Calzada, J.E., Yan Gao, Gottdenker, N.L., Chaves, L.F. 2021. Diversity, co-occurrence and nestedness patterns of sandfly species (Diptera: Psychodidae) in two rural areas of western Panamá. Insects, 12, 113.

  27. Estoque, R.C., Johnson, B., Yan Gao, DasGupta, R., Ooba, M., Togawa, T., Hijioka, Y., Murayama, Y., Gavina, L., Lasco, R.D., Nakamura, S. 2021, Remotely sensed tree canopy cover-based indicators for monitoring global sustainability and environmental initiatives. Environmental Research Letters, 16(4), 044047.  

  28. Yan Gao, Jonathan V. Solórzano, Alexander Quevedo, Jaime Octavio Loya-Carrillo. 2021. How BFAST trend and seasonal model components affect disturbance detection in tropical dry forest and temperate forest. Remote Sensing. 13, 2033. 

  29. Jonathan V. Solórzano, Jean Francois Mas, Yan Gao, José Alberto Gallardo-Cruz. 2021. Land use Land cover classification with U-Net: advantages of combining Sentinel-1 and Sentinel-2 imagery. Remote Sensing. 13(18), 3600. 

  30. Ronald C Estoque, Rajarshi Dasgupta, Karina Winkler, Valerio Avitabile, Brian A Johnson, Soe W Myint, Yan Gao, Makoto Ooba, Yuji Murayama and Rodel D Lasco. 2022. Spatial temporal pattern of global forest change over the past 60 years and the forest transition theory. Environmental Research Letters. 17 (8), 084022. 

  31. Jonathan V. Solórzano, Yan Gao*. 2022. Forest disturbance detection with seasonal and trend model components and machine learning algorithms. Remote Sensing. 14, 803. (*corresponding author)  

  32. Ronald Estoque, Brian Johnson, Rajarshi Dasgupta, Yan Gao, Toshiya Matsuura, Takeshi Toma, Yasumasa Hirata, Rodel D. Lasco. 2022. Rethinking Forest monitoring for more meaningful global forest landscape change assessments. Journal of Environmental Management. 317, 115478. 

  33. Diana Laura Jiménez, Yan Gao*, Jonathan V. Solorzano, Margaret Skutsch, Diego Perez-Salicrup, Miguel Salinas, Michelle Farfán. 2022. Mapping Forest degradation and contributing factors in a tropical dry forest.Frontiers in Environmental Science.10, 912873. (*corresponding author)

  34. Cynthis Simmons, Marta Astier, Robert Walker, Jaime Fernando Navia-Antezana, Yan Gao, Yankuic Galvan-Miyoshi, and Dan Klooster. 2023. Forest transition and fuzzy environments in Neoliberal Mexico. Land, 12, 840. 

  35. Rene Tobar-Díaz, Y. Gao, J.F. Mas, V.H. Cambrón-Sandoval. 2023. Clasificación de uso y cobertura del suelo a través de algoritmos de aprendizaje automático: revisión bibliográfica. Revista de Teledetección. 62, 1-19. 

  36. Jonathan V. Solórzano, Jean François Mas, Alberto Gallardo, Yan Gao, Ana Fernandez Montes de Oca. 2023. Deforestation detection using a spatio-temporal Deep learning approach with synthetic aperture radar and multispectral images. ISPRS Journal of Photogrammetry and Remote Sensing. 199: 87-101. 

  37. Yan Gao, Jonathan V. Solorzano, Ronald C. Estoque, Shiro Tsuyuzaki. 2023. Tropical dry forest dynamics explained by topographic and anthropogenic factors: a case study in Mexico. Remote Sensing. 15, 1471. 

  38. Salas-Canela, L., I. Franch-Pardo, Yan Gao, T. Mwampamba, R. Bailis, H. Zerriffi, A. Ghilardi. 2024. Influence of spatial resolution on fuelwood supply estimations. Journal of Research and Didactics in Geography. 2, 13. Pp. 5-12. DOI: 10.4458/7417-01.