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
Ma, Y., He, T., McVicar, TR., Liang, S., Liu, T., Peng, W., Song, D., & Tian, F. (2024). Quantifying how topography impacts vegetation indices at various spatial and temporal scales. Remote Sensing of Environment, 312, 114311. https://doi.org/10.1016/j.rse.2024.114311
S Zhang, Y Jiang, C Wang, M Tan, B Du, F Tian (2024). S2PNet: An Interactive Learning Framework for Addressing Spatial-Spectral Heterogeneity in H2 Imagery Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18, 9. https://doi.org/10.1109/JSTARS.2024.3464758
T. Liang, F. Tian, L. Zou, H. Jin, T. Tagesson, S. Rumpf, T. He, S. Liang, R. Fensholt. (2024). Global assessment of vegetation patterns along topographic gradients. International Journal of Digital Earth, 2404232. https://doi.org/10.1080/17538947.2024.2404232
Zenghui Fan, Jia Sun, Torbern Tagesson, Lunche Wang, Shu Xu, Weifu Tan, Feng Tian, Wentao Ye, Qin Tan, Shaoqiang Wang, Anders Ahlström. (2024). Planted Forests Greened 7% Slower Than Natural Forests in Southern China Over the Past Forty Years. Geophysical Research Letters, 51, 19, e2024GL111209. https://doi.org/10.1029/2024GL111209
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., Kashyap, R., Liu, X., Sitch, S., Tao, S., Xiao, X., Yang, H., Espinoza, JC., Frappart, F., Li, W., Qin, Y., De Truchis, A., & Fensholt, R. (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
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
2023
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