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成果及论文

2024

  • Huang, X., Yin, Y., Feng, L., Tong, X., Zhang, X., Li, J., & Tian, F. (2024). A 10 m resolution land cover map of the Tibetan Plateau with detailed vegetation types. Earth System Science Data, 16, 3307–3332. https://doi.org/10.5194/essd-16-3307-2024

  • Tong, X., Zhang, X., Fensholt, R., Jensen, P. R. D., Li, S., Larsen, M. N., Reiner, F., Tian, F., & Brandt, M. (2024). Global area boom for greenhouse cultivation revealed by satellite mapping. Nature Food, 1–11. https://doi.org/10.1038/s43016-024-00985-0

  • Wigneron, J.-P., Ciais, P., Li, X., Brandt, M., Canadell, J. G., Tian, F., Wang, H., Bastos, A., Fan, L., & Gatica, G. (2024). Global carbon balance of the forest: satellite-based L-VOD results over the last decade. Frontiers in Remote Sensing, 5, 1338618. https://doi.org/10.3389/frsen.2024.1338618

  • Sang, Y., Tian, F., Jin, H., Cai, Z., Feng, L., Dou, Y., & Eklundh, L. (2024). Assessing topographic effects on forest responses to drought with multiple seasonal metrics from Sentinel-2. International Journal of Applied Earth Observation and Geoinformation, 128, 103789. https://doi.org/10.1016/j.jag.2024.103789

2023

  • Dou, Y., Tong, X., Horion, S., Feng, L., Fensholt, R., Shao, Q., & Tian, F. (2024). The success of ecological engineering projects on vegetation restoration in China strongly depends on climatic conditions. Science of the Total Environment, 915, 170041. https://doi.org/10.1016/j.scitotenv.2024.170041

  • Tagesson, T., Kelly, J., Schurgers, G., Tian, F., Ardö, J., Horion, S., Ahlström, A., Olin, S., & Fensholt, R. (2024). Increasing global ecosystem respiration between 1982 and 2015 from Earth observation‐based modelling. Global Ecology and Biogeography, 33(1), 116–130. https://doi.org/10.1111/geb.13775

  • Wang, Y., Feng, L., Zhang, Z., & Tian, F. (2023). An unsupervised domain adaptation deep learning method for spatial and temporal transferable crop type mapping using Sentinel-2 imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 199, 102–117. https://doi.org/10.1016/j.isprsjprs.2023.04.002

  • Zou, L., Tian, F., Liang, T., Eklundh, L., Tong, X., Tagesson, T., Dou, Y., He, T., Liang, S., & Fensholt, R. (2023). Assessing the upper elevational limits of vegetation growth in global high-mountains. Remote Sensing of Environment, 286, 113423. https://doi.org/10.1016/j.rse.2022.113423

  • Wolf, J., Asch, J., Tian, F., Georgiou, K., & Ahlström, A. (2023). Canopy responses of Swedish primary and secondary forests to the 2018 drought. Environmental Research Letters, 18(6), 064044. https://doi.org/10.1088/1748-9326/acd6a8

  • Zhang, W., Jin, H., Jamali, S., Duan, Z., Wu, M., Ran, Y., Ardö, J., Eklundh, L., Jönsson, A. M., Tian, F. & Sun, H. (2023). Convergence and divergence emerging in climatic controls of polynomial trends for northern ecosystem productivity over 2000–2018. Science of the Total Environment, 874, 162425. https://doi.org/10.1016/j.scitotenv.2023.162425

  • Jin, H., Vicente-Serrano, S. M., Tian, F., Cai, Z., Conradt, T., Boincean, B., Murphy, C., Farizo, B. A., Grainger, S., & López-Moreno, J. I. (2023). Higher vegetation sensitivity to meteorological drought in autumn than spring across European biomes. Communications Earth & Environment, 4(1), 299. https://doi.org/10.1038/s43247-023-00960-w

  • Dou, Y., Tian, F., Wigneron, J.-P., Tagesson, T., Du, J., Brandt, M., Liu, Y., Zou, L., Kimball, J. S., & Fensholt, R. (2023). Reliability of using vegetation optical depth for estimating decadal and interannual carbon dynamics. Remote Sensing of Environment, 285, 113390. https://doi.org/10.1016/j.rse.2022.113390

  • Wang, H., Wigneron, J.-P., Ciais, P., Yao, Y., Fan, L., Liu, X., Li, X., Green, J. K., Tian, F., & Tao, S. (2023). Seasonal variations in vegetation water content retrieved from microwave remote sensing over Amazon intact forests. Remote Sensing of Environment, 285, 113409. https://doi.org/10.1016/j.rse.2022.113409

  • Qiu, R., Han, G., Li, S., Tian, F., Ma, X., & Gong, W. (2023). Soil moisture dominates the variation of gross primary productivity during hot drought in drylands. Science of The Total Environment, 899, 165686. https://doi.org/10.1016/j.scitotenv.2023.165686

2022

  • Liang, T., Liang, S., Zou, L., Sun, L., Li, B., Lin, H., He, T., & Tian, F. (2022). Estimation of aerosol optical depth at 30 m resolution using Landsat imagery and machine learning. Remote Sensing, 14(5), 1053. https://doi.org/10.3390/rs14051053

  • Liu, Y., Wu, C., Tian, F., Wang, X., Gamon, J. A., Wong, C. Y., Zhang, X., Gonsamo, A., & Jassal, R. S. (2022). Modeling plant phenology by MODIS derived photochemical reflectance index (PRI). Agricultural and Forest Meteorology, 324, 109095. https://doi.org/10.1016/j.agrformet.2022.109095

2021

  • Wu, M., Vico, G., Manzoni, S., Cai, Z., Bassiouni, M., Tian, F., Zhang, J., Ye, K., & Messori, G. (2021). Early Growing Season Anomalies in Vegetation Activity Determine the Large‐Scale Climate‐Vegetation Coupling in Europe. Journal of Geophysical Research: Biogeosciences, 126(5), e2020JG006167. https://doi.org/10.1029/2020JG006167

  • Wu, C., Wang, J., Ciais, P., Peñuelas, J., Zhang, X., Sonnentag, O., Tian, F., Wang, X., Wang, H., Liu, R., Fu, Y. H., & Ge, Q. (2021). Widespread decline in winds delayed autumn foliar senescence over high latitudes. Proceedings of the National Academy of Sciences, 118(16), e2015821118. https://doi.org/10.1073/pnas.2015821118

  • Tagesson, T., Tian, F., Schurgers, G., Horion, S., Scholes, R., Ahlström, A., Ardö, J., Moreno, A., Madani, N., Olin, S., & Fensholt, R. (2021). A physiology‐based Earth observation model indicates stagnation in the global gross primary production during recent decades. Global Change Biology, 27(4), 836–854. https://doi.org/10.1111/gcb.15424

  • Tian, F., Cai, Z., Jin, H., Hufkens, K., Scheifinger, H., Tagesson, T., Smets, B., Van Hoolst, R., Bonte, K., & Ivits, E. (2021). Calibrating vegetation phenology from Sentinel-2 using eddy covariance, PhenoCam, and PEP725 networks across Europe. Remote Sensing of Environment, 260, 112456. https://doi.org/10.1016/j.rse.2021.112456

  • Vicente-Serrano, S. M., Peña-Angulo, D., Murphy, C., López-Moreno, J. I., Tomas-Burguera, M., Dominguez-Castro, F., Tian, F., Eklundh, L., Cai, Z., & Alvarez-Farizo, B. (2021). The complex multi-sectoral impacts of drought: Evidence from a mountainous basin in the Central Spanish Pyrenees. Science of the Total Environment, 769, 144702. https://doi.org/10.1016/j.scitotenv.2020.144702

2020

  • Wang, L., Tian, F., Huang, K., Wang, Y., Wu, Z., & Fensholt, R. (2020). Asymmetric patterns and temporal changes in phenology‐based seasonal gross carbon uptake of global terrestrial ecosystems. Global Ecology and Biogeography, 29(6), 1020–1033. https://doi.org/10.1111/geb.13084

  • Li, Z., Ahlström, A., Tian, F., Gärtner, A., Jiang, M., & Xia, J. (2020). Minimum carbon uptake controls the interannual variability of ecosystem productivity in tropical evergreen forests. Global and Planetary Change, 195, 103343. https://doi.org/10.1016/j.gloplacha.2020.103343

  • Tagesson, T., Schurgers, G., Horion, S., Ciais, P., Tian, F., Brandt, M., Ahlström, A., Wigneron, J.-P., Ardö, J., & Olin, S. (2020). Recent divergence in the contributions of tropical and boreal forests to the terrestrial carbon sink. Nature Ecology & Evolution, 4(2), 202–209. https://doi.org/10.1038/s41559-019-1090-0

  • Tong, X., Brandt, M., Hiernaux, P., Herrmann, S., Rasmussen, L. V., Rasmussen, K., Tian, F., Tagesson, T., Zhang, W., & Fensholt, R. (2020). The forgotten land use class: Mapping of fallow fields across the Sahel using Sentinel-2. Remote Sensing of Environment, 239, 111598. https://doi.org/10.1016/j.rse.2019.111598

2019

  • Zhang, W., Brandt, M., Penuelas, J., Guichard, F., Tong, X., Tian, F., & Fensholt, R. (2019). Ecosystem structural changes controlled by altered rainfall climatology in tropical savannas. Nature communications, 10(1), 671. https://doi.org/10.1038/s41467-019-08602-6

  • Fan, L., Wigneron, J.-P., Ciais, P., Chave, J., Brandt, M., Fensholt, R., Saatchi, S. S., Bastos, A., Al-Yaari, A., Tian, F., & Hufkens, K. (2019). Satellite-observed pantropical carbon dynamics. Nature plants, 5(9), 944–951. https://doi.org/10.1038/s41477-019-0478-9

  • Tong, X., Tian, F., Brandt, M., Liu, Y., Zhang, W., & Fensholt, R. (2019). Trends of land surface phenology derived from passive microwave and optical remote sensing systems and associated drivers across the dry tropics 1992–2012. Remote Sensing of Environment, 232, 111307. https://doi.org/10.1016/j.rse.2019.111307

2018

  • Wang, L., Tian, F., Wang, Y., Wu, Z., Schurgers, G., & Fensholt, R. (2018). Acceleration of global vegetation greenup from combined effects of climate change and human land management. Global Change Biology, 24(11), 5484–5499. https://doi.org/10.1111/gcb.14369

  • Brandt, M., Yue, Y., Wigneron, J. P., Tong, X., Tian, F., Jepsen, M. R., Xiao, X., Verger, A., Mialon, A., Al‐Yaari, A., Wang, K., & Fensholt, R. (2018). Satellite‐Observed Major Greening and Biomass Increase in South China Karst During Recent Decade. Earth’s Future, 6(7), 1017–1028. https://doi.org/10.1029/2018EF000890

  • Tian, F., Wigneron, J.-P., Ciais, P., Chave, J., Ogée, J., Peñuelas, J., Ræbild, A., Domec, J.-C., Tong, X., & Brandt, M. (2018). Coupling of ecosystem-scale plant water storage and leaf phenology observed by satellite. Nature Ecology & Evolution, 2(9), 1428–1435. https://doi.org/10.1038/s41559-018-0630-3

  • Tong, X., Brandt, M., Yue, Y., Horion, S., Wang, K., Keersmaecker, W. D., Tian, F., Schurgers, G., Xiao, X., & Luo, Y. (2018). Increased vegetation growth and carbon stock in China karst via ecological engineering. Nature sustainability, 1(1), 44–50. https://doi.org/10.1038/s41893-017-0004-x

  • Brandt, M., Rasmussen, K., Hiernaux, P., Herrmann, S., Tucker, C. J., Tong, X., Tian, F., Mertz, O., Kergoat, L., & Mbow, C. (2018). Reduction of tree cover in West African woodlands and promotion in semi-arid farmlands. Nature Geoscience, 11(5), 328–333. https://doi.org/10.1038/s41561-018-0092-x

  • Brandt, M., Wigneron, J.-P., Chave, J., Tagesson, T., Penuelas, J., Ciais, P., Rasmussen, K., Tian, F., Mbow, C., & Al-Yaari, A. (2018). Satellite passive microwaves reveal recent climate-induced carbon losses in African drylands. Nature Ecology & Evolution, 2(5), 827–835. https://doi.org/10.1038/s41559-018-0530-6

  • Wigneron, J.-P., Mialon, A., De Lannoy, G., Fernández-Morán, R., Al-Yaari, A., Ebrahimi, M., Rodriguez-Fernandez, N., Kerr, Y., Tian, F., Quets, J., & Pellarin, T. (2018). SMOS-IC: Current status and overview of soil moisture and VOD applications. IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium, 1451–1453. https://doi.org/10.1109/IGARSS.2018.8519382

2017

  • Tian, F., Brandt, M., Liu, Y. Y., Rasmussen, K., & Fensholt, R. (2017). Mapping gains and losses in woody vegetation across global tropical drylands. Global Change Biology, 23(4), 1748–1760. https://doi.org/10.1111/gcb.13464

  • Brandt, M., Rasmussen, K., Peñuelas, J., Tian, F., Schurgers, G., Verger, A., Mertz, O., Palmer, J. R., & Fensholt, R. (2017). Human population growth offsets climate-driven increase in woody vegetation in sub-Saharan Africa. Nature Ecology & Evolution, 1(4), 0081. https://doi.org/10.1038/s41559-017-0081

  • Tong, X., Brandt, M., Hiernaux, P., Herrmann, S. M., Tian, F., Prishchepov, A. V., & Fensholt, R. (2017). Revisiting the coupling between NDVI trends and cropland changes in the Sahel drylands: A case study in western Niger. Remote Sensing of Environment, 191, 286–296. https://doi.org/10.1016/j.rse.2017.01.030

2016

  • Tian, F., Brandt, M., Liu, Y. Y., Verger, A., Tagesson, T., Diouf, A. A., Rasmussen, K., Mbow, C., Wang, Y., & Fensholt, R. (2016). Remote sensing of vegetation dynamics in drylands: Evaluating vegetation optical depth (VOD) using AVHRR NDVI and in situ green biomass data over West African Sahel. Remote Sensing of Environment, 177, 265–276. https://doi.org/10.1016/j.rse.2016.02.056

2015

  • Huang, Y., Tian, F., Wang, Y., Wang, M., & Hu, Z. (2015). Effect of coal mining on vegetation disturbance and associated carbon loss. Environmental Earth Sciences, 73(5), 2329–2342. https://doi.org/10.1007/s12665-014-3584-z

  • Wang, K., Zhang, L., Qiu, Y., Ji, L., Tian, F., Wang, C., & Wang, Z. (2015). Snow effects on alpine vegetation in the Qinghai-Tibetan Plateau. International Journal of Digital Earth, 8(1), 58–75. https://doi.org/10.1080/17538947.2013.848946

  • Fensholt, R., Horion, S., Tagesson, T., Ehammer, A., Grogan, K., Tian, F., Huber, S., Verbesselt, J., Prince, S. D., Tucker, C. J., & Rasmussen, K. (2015a). Assessing Drivers of Vegetation Changes in Drylands from Time Series of Earth Observation Data. In C. Kuenzer, S. Dech, & W. Wagner (Eds.), Remote Sensing Time Series (Vol. 22, pp. 183–202). Springer International Publishing. https://doi.org/10.1007/978-3-319-15967-6_9

  • Fensholt, R., Horion, S., Tagesson, T., Ehammer, A., Grogan, K., Tian, F., Huber, S., Verbesselt, J., Prince, S. D., Tucker, C. J., & Rasmussen, K. (2015b). Assessment of Vegetation Trends in Drylands from Time Series of Earth Observation Data. In C. Kuenzer, S. Dech, & W. Wagner (Eds.), Remote Sensing Time Series (Vol. 22, pp. 159–182). Springer International Publishing. https://doi.org/10.1007/978-3-319-15967-6_8

  • Zhou, Y., Zhang, L., Fensholt, R., Wang, K., Vitkovskaya, I., & Tian, F. (2015). Climate contributions to vegetation variations in central Asian drylands: Pre-and post-USSR collapse. Remote Sensing, 7(3), 2449–2470. https://doi.org/10.3390/rs70302449

  • Tian, F., Fensholt, R., Verbesselt, J., Grogan, K., Horion, S., & Wang, Y. (2015). Evaluating temporal consistency of long-term global NDVI datasets for trend analysis. Remote Sensing of Environment, 163, 326–340. https://doi.org/10.1016/j.rse.2015.03.031

  • Wang, Y., Feng, T., Huang, Y., Jian, W., & Wei, C. (2015). Monitoring coal fires in Datong coalfield using multi-source remote sensing data. Transactions of Nonferrous Metals Society of China, 25(10), 3421–3428. https://doi.org/10.1016/S1003-6326(15)63977-2

2013

  • Tian, F., Wang, Y., Fensholt, R., Wang, K., Zhang, L., & Huang, Y. (2013). Mapping and evaluation of NDVI trends from synthetic time series obtained by blending Landsat and MODIS data around a coalfield on the Loess Plateau. Remote Sensing, 5(9), 4255–4279. https://doi.org/10.3390/rs5094255