Publicaties
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2026
Unraveling ecosystem function responses to grazing intensity through UAV-based hyperspectral analysis (2026)Journal of Remote Sensing, 6. Article 0732. Zhang, Y.-W., Guo, Y., Zhang, H.-T., Wang, S., Liang, C., Wang, T. & Tang, Z.https://doi.org/10.34133/remotesensing.0732
2025
A deep learning framework for mapping evergreen conifer fractional cover at 30 m resolution using fused bi-temporal WorldView and time-series Landsat imagery in mixed mountain forests (2025)Remote sensing of environment, 331, 1-14. Article 115055. Zhu, X., Wang, T., Skidmore, A. K. & Duporge, I.https://doi.org/10.1016/j.rse.2025.115055Deep learning-based vegetation canopy height mapping with polarimetric SAR: Application of a Polarization Fusion U-Net in Gabon’s tropical forests (2025)Science of Remote Sensing, 12, 1-16. Article 100327. Bhuiyan, R., Paris, C., Wang, T., Khodadadzadeh, M. & Schlund, M.https://doi.org/10.1016/j.srs.2025.100327Effect of forest structural attributes on soil microbial diversity in mixed temperate forests (2025)Plant and Soil, 517(1), 1-19. Adiningrat, D. P., Siegenthaler, A., Schlund, M., Wang, T., Skidmore, A. K., Rousseau, M. & Heurich, M.https://doi.org/10.1007/s11104-025-07907-4Forest structural attributes as indicators and mediators of aboveground carbon storage and woody plant species richness in natural forests (2025)Ecological indicators, 181, 1-11. Article 114398. Sun, C., Yao, J., Huang, J., Willemen, L., Wang, T. & Zang, R.https://doi.org/10.1016/j.ecolind.2025.114398AI in the sky: Advancing wildlife survey methods in Africa with deep learning and aerial imagery (2025)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Xu, Z.https://doi.org/10.3990/1.9789036568388Advancing urban tree mapping with airborne data and deep learning (2025)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Xu, Y.https://doi.org/10.3990/1.9789036567947AI-based satellite survey offers independent assessment of migratory wildebeest numbers in the Serengeti (2025)PNAS Nexus, 4(9), 1-5. Article pgaf264. Duporge, I., Wu, Z., Xu, Z., Gong, P., Rubenstein, D., Macdonald, D. W., Sinclair, A., Levin, S., Lee, S. & Wang, T.https://doi.org/10.1093/pnasnexus/pgaf264Prey species richness and secondary forest among the key factors shaping Javan leopard distribution (2025)Ecological indicators, 178, 1-13. Article 113879. Ariyanto, A. C., Wang, T., Skidmore, A. K., Ario, A., Rahman, D., Imron, M. & Wahyudi, H.https://doi.org/10.1016/j.ecolind.2025.113879Bounding box versus point annotation: The impact on deep learning performance for animal detection in aerial images (2025)ISPRS journal of photogrammetry and remote sensing, 222, 99-111. Xu, Z., Wang, T., Skidmore, A. K., Lamprey, R. H. & Ngene, S.https://doi.org/10.1016/j.isprsjprs.2025.02.017eDNA biodiversity from space: predicting soil bacteria and fungi alpha diversity in forests using DESIS satellite remote sensing (2025)International journal of remote sensing (E-pub ahead of print/First online). Skidmore, A. K., Abdullah, H., Siegenthaler, A., Wang, T., Adiningrat, D. P., Rousseau, M., Duan, Y., Torres Rodriguez, A., Heurich, M., Chariton, A. A., Darvishzadeh, R., Neinavaz, E. & de Groot, A.https://doi.org/10.1080/01431161.2025.2464958Fusing aerial photographs and airborne LiDAR data to improve the accuracy of detecting individual trees in urban and peri-urban areas (2025)Urban Forestry & Urban Greening, 105, 1-12. Article 128696. Xu, Y., Wang, T. & Skidmore, A. K.https://doi.org/10.1016/j.ufug.2025.128696Leaf carbon-based constituents of temperate forest species retrieved using PROSPECT-PRO (2025)Agricultural and forest meteorology, 362. Article 110337. Torres Rodriguez, A., Darvishzadeh, R., Skidmore, A. K., Wang, T. & Schuur, B.https://doi.org/10.1016/j.agrformet.2024.110337Significant expansion of small water bodies in the Dongting Lake region following the impoundment of the Three Gorges Dam (2025)Journal of environmental management, 376, 1-13. Article 124443. Tian, M., Mao, J., Wang, K., Chen, Y., Gao, H. & Wang, T.https://doi.org/10.1016/j.jenvman.2025.124443Investigating LiDAR Metrics for Old-Growth Beech- and Spruce-Dominated Forest Identification in Central Europe (2025)Remote sensing, 17(2). Article 251. Adiningrat, D. P., Skidmore, A. K., Schlund, M., Wang, T., Abdullah, H. & Heurich, M.https://doi.org/10.3390/rs17020251Future extreme climate events threaten Alpine and Subalpine woody plants in China (2025)Earth's Future, 13(1), 1-18. Article e2024EF005147. Wu, Y., Shen, J., Deane, D., Yu, H., Yu, F., Wang, X., Cao, Z., Yu, R., Xiao, F., Wang, T. & Wu, Z.https://doi.org/10.1029/2024EF005147
2024
Ensemble species distribution models reveal Javan leopard’s preference for areas with high prey species diversity (2024)Global Ecology and Conservation, 56, 1-14. Article e03335. Ariyanto, A. C., Wang, T., Skidmore, A. K., Ario, A., Imron, M. & Wahyudi, H.https://doi.org/10.1016/j.gecco.2024.e03335Field estimation of fallen deadwood volume under different management approaches in two European protected forested areas (2024)Forestry, 97(5), 762-770. Article cpae013. Rousseau, M., Adiningrat, D. P., Skidmore, A. K., Siegenthaler, A., Wang, T. & Abdullah, H.https://doi.org/10.1093/forestry/cpae013Mitigating terrain shadows in very high-resolution satellite imagery for accurate evergreen conifer detection using bi-temporal image fusion (2024)International Journal of Applied Earth Observation and Geoinformation (JAG), 134. Article 104244. Zhu, X., Wang, T., Skidmore, A. K., Lee, S. & Duporge, I.https://doi.org/10.1016/j.jag.2024.104244Island biogeography theory and the habitat heterogeneity jointly explain global patterns of Rhododendron diversity (2024)Plant Diversity, 46(5), 565-574. Guan, Y., Wu, Y., Cao, Z., Wu, Z., Yu, F., Yu, H. & Wang, T.https://doi.org/10.1016/j.pld.2024.03.007Mapping temperate old-growth forests in Central Europe using ALS and Sentinel-2A multispectral data (2024)Environmental monitoring and assessment, 196. Article 841. Adiningrat, D. P., Schlund, M., Skidmore, A. K., Abdullah, H., Wang, T. & Heurich, M.https://doi.org/10.1007/s10661-024-12993-5Range-wide camera traps reveal potential prey species for Javan leopards (2024)Global Ecology and Conservation, 53, 1-15. Article e03020. Ariyanto, A. C., Wang, T., Skidmore, A. K., Wibisono, H., Widodo, F., Firdaus, A., Wiharisno, Y., Koliq, N. & Murdyatmaka, W.https://doi.org/10.1016/j.gecco.2024.e03020Elephants rest more when the poaching risk is high and do not recover the lost time within a diel cycle (2024)Global Ecology and Conservation, 51. Article e02911. IhwagiI, F., Skidmore, A. K., Bastille-Rosseau, G., Wang, T., Toxopeus, A. G. & Douglas-Hamilton, I.https://doi.org/10.1016/j.gecco.2024.e02911Satellite hyperspectral imagery reveals scale dependence of functional diversity patterns in a Qinghai-Tibetan alpine meadow (2024)International Journal of Applied Earth Observation and Geoinformation (JAG), 129, 1-11. Article 103868. Zhang, Y.-W., Guo, Y., Feng, Y., Zhang, Z., Tang, R., Bai, Y.-H., Zhang, H.-T., Lin, Y.-W., Zhu, J., Wang, T. & Tang, Z.https://doi.org/10.1016/j.jag.2024.103868Retrieving leaf lignocellulose of conifer species using PROSPECT-PRO model (2024)[Contribution to conference › Abstract] 13th EARSeL Workshop on Imaging Spectroscopy 2024. Torres Rodriguez, A., Darvishzadeh, R., Skidmore, A. K. & Wang, T.Mapping soil microbiological biodiversity using simulated CHIME hyperspectral data (2024)[Contribution to conference › Abstract] 13th EARSeL Workshop on Imaging Spectroscopy 2024. Skidmore, A. K., Abdullah, H., Siegenthaler, A., Adiningrat, D. P., Duan, Y., Rousseau, M., Torres Rodriguez, A., Darvishzadeh, R., Wang, T. & de Groot, A.A review of deep learning techniques for detecting animals in aerial and satellite images (2024)International Journal of Applied Earth Observation and Geoinformation (JAG), 128, 1-17. Article 103732. Xu, Z., Wang, T., Skidmore, A. K. & Lamprey, R.https://doi.org/10.1016/j.jag.2024.103732A comparison of point and bounding box annotation methods to detect wild animals using remote sensing and deep learning (2024)[Contribution to conference › Abstract] EGU General Assembly 2024. Xu, Z., Wang, T., Skidmore, A. K. & Lamprey, R. H.https://doi.org/10.5194/egusphere-egu24-18868An enhanced algorithm for co-registering individual trees extracted from airborne LiDAR and aerial photographs (2024)[Contribution to conference › Abstract] EGU General Assembly 2024. Xu, Y., Wang, T. & Skidmore, A. K.https://doi.org/10.5194/egusphere-egu24-6725Satellite-based monitoring of the world’s largest terrestrial mammal migration using deep learning (2024)[Contribution to conference › Abstract] EGU General Assembly 2024. Wu, Z., Wang, T., Zhang, C., Duporge, I., Gu, X., Hughey, L., Stabach, J., Skidmore, A. K., Hopcraft, G., Atkinson, P., McCauley, D., Lamprey, R. H., Ngene, S. & Gong, P.https://doi.org/10.5194/egusphere-egu24-10882A new multiangle method for estimating fractional biocrust coverage from Sentinel-2 data in arid areas (2024)IEEE transactions on geoscience and remote sensing, 62, 1-15. Article 4404015. Sun, H., Ma, X., Liu, Y., Zhou, G., Ding, J., Lu, L., Wang, T., Yang, Q., Shu, Q. & Zhang, F.https://doi.org/10.1109/TGRS.2024.3361249Mapping off-road tracks and animal paths in protected areas using high-resolution GeoEye-1 panchromatic satellite imagery (2024)International journal of remote sensing, 45(16), 5425–5442. Chemura, A., Lu, S., Skidmore, A. K., Duporge, I., Lee, S., Yu, Z., Ngene, S. & Wang, T.https://doi.org/10.1080/01431161.2024.2377230
2023
Deep learning enables satellite-based monitoring of large populations of terrestrial mammals across heterogeneous landscape (2023)Nature communications, 14. Article 3072. Wu, Z., Zhang, C., Gu, X., Duporge, I., Hughey, L., Stabach, J., Skidmore, A. K., Hopcraft, G., Lee, S., Atkinson, P., McCauley, D., Lamprey, R., Ngene, S. M. & Wang, T.https://doi.org/10.1038/s41467-023-38901-yHabitat visibility affects the behavioral response of a large herbivore to human disturbance in forest landscapes (2023)Journal of environmental management, 348, 1-11. Article 119244. Zong, X., Wang, T., Skidmore, A. K. & Heurich, M.https://doi.org/10.1016/j.jenvman.2023.119244Integrated 1D, 2D, and 3D CNNs enable robust and efficient land cover classification from hyperspectral imagery (2023)Remote sensing, 15(19), 1-16. Article 4797. Liu, J., Wang, T., Skidmore, A. K., Sun, Y., Jia, P. & Zhang, K.https://doi.org/10.3390/rs15194797A novel approach to match individual trees between aerial photographs and airborne LiDAR data (2023)Remote sensing, 15(17), 1-24. Article 4128. Xu, Y., Wang, T., Skidmore, A. K. & Gara, T.https://doi.org/10.3390/rs15174128Advancing Animal Ecology through LiDAR-Based 3D Visibility Analysis (2023)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Zong, X.https://doi.org/10.3990/1.9789036556613Using open-source biodiversity data to predict present and future macrofungal diversity and distribution in Europe (2023)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Yu, H.https://doi.org/10.3990/1.9789036556637LiDAR reveals a preference for intermediate visibility by a forest-dwelling ungulate species (2023)Journal of animal ecology, 92(7), 1306-1319. Zong, X., Wang, T., Skidmore, A. K. & Heurich, M.https://doi.org/10.1111/1365-2656.13847A pixel dichotomy coupled linear kernel-driven model for estimating fractional vegetation cover in arid areas from high-spatial-resolution images (2023)IEEE transactions on geoscience and remote sensing, 61, 1-15. Article 4406015. Ma, X., Ding, J., Wang, T., Lu, L., Sun, H., Zhang, F., Chen, X. & Nurmemet, I.https://doi.org/10.1109/TGRS.2023.3289093How future climate and tree distribution changes shape the biodiversity of macrofungi across Europe (2023)Diversity and distributions, 29(5), 666-682. Yu, H., Wang, T., Skidmore, A. K., Heurich, M. & Bässler, C.https://doi.org/10.1111/ddi.13688An improved area-based approach for estimating plot-level tree DBH from airborne LiDAR data (2023)Forest Ecosystems, 10. Article 100089. Zhang, Z., Wang, T., Skidmore, A. K., Cao, F., She, G. & Cao, L.https://doi.org/10.1016/j.fecs.2023.100089
2022
A satellite perspective on the movement decisions of African elephants in relation to nomadic pastoralists (2022)Remote sensing in ecology and conservation, 8(6), 841-854. Duporge, I., Finerty, G. E., Ihwagi, F., Lee, S., Wathika, J., Wu, Z., Macdonald, D. W. & Wang, T.https://doi.org/10.1002/rse2.285Mapping the relative abundance of soil microbiome biodiversity from eDNA and remote sensing (2022)Science of Remote Sensing, 6. Article 100065. Skidmore, A. K., Siegenthaler, A., Wang, T., Darvishzadeh, R., Zhu, X., Chariton, A. & de Groot, G. A.https://doi.org/10.1016/j.srs.2022.100065Linking the past and present to predict the distribution of Asian crested ibis (Nipponia nippon) under global changes (2022)Integrative Zoology, 17(6), 1095-1105. Yu, F., Sun, Y., Wang, T., Skidmore, A. K., Ding, C. & Ye, X.https://doi.org/10.1111/1749-4877.12581LiDAR reveals a preference for intermediate visibility by a forest-dwelling ungulate species: Code and LiDAR data (2022)[Dataset Types › Dataset]. Zenodo. Zong, X., Wang, T., Skidmore, A. & Heurich, M.https://doi.org/10.5061/dryad.tx95x6b21LiDAR reveals a preference for intermediate visibility by a forest-dwelling ungulate species: Deer locational data (2022)[Dataset Types › Dataset]. Zenodo. Zong, X., Wang, T., Skidmore, A. & Heurich, M.https://doi.org/10.5061/dryad.15dv41p1d50 Years of cumulative open-source data confirm stable and robust biodiversity distribution patterns for macrofungi (2022)Journal of Fungi, 8(9), 1-16. Article 981. Yu, H., Wang, T., Skidmore, A. K., Heurich, M. & Bässler, C.https://doi.org/10.3390/jof8090981Characterizing old-growth forests from multisource remote sensing (2022)[Contribution to conference › Poster] ForestSAT 2022. Adiningrat, D. P., Skidmore, A. K., Schlund, M. & Wang, T.Estimating community-level plant functional traits in a species-rich alpine meadow using UAV image spectroscopy (2022)Remote sensing, 14(14), 1-14. Article 3399. Zhang, Y.-W., Wang, T., Guo, Y., Skidmore, A. K., Zhang, Z., Tang, R., Song, S. & Tang, Z.https://doi.org/10.3390/rs14143399Developing a 3D clumping index model to improve optical measurement accuracy of crop leaf area index (2022)Field Crops Research, 275, 1-16. Article 108361. Ma, X., Wang, T., Lu, L., Huang, H., Ding, J. & Zhang, F.https://doi.org/10.1016/j.fcr.2021.108361
2021
Understanding the impact of vertical canopy position on leaf spectra and traits in an evergreen broadleaved forest (2021)Remote sensing, 13(24). Article 5057. Yu, F., Gara, T., Lian, J., Ye, W., Shen, J., Wang, T., Wu, Z. & Wang, J.https://doi.org/10.3390/rs13245057A novel and efficient method for wood–leaf separation from terrestrial laser scanning point clouds at the forest plot level (2021)Methods in ecology and evolution, 12(12), 2473-2486. Wan, P., Shao, J., Jin, S., Wang, T., Yang, S., Yan, G. & Zhang, W.https://doi.org/10.1111/2041-210X.13715Author Correction: Priority list of biodiversity metrics to observe from space (Nature Ecology & Evolution, (2021), 5, 7, (896-906), 10.1038/s41559-021-01451-x) (2021)Nature Ecology & Evolution, 5(12), 1639. Skidmore, A. K., Coops, N. C., Neinavaz, E., Ali, A., Schaepman, M. E., Paganini, M., Kissling, W. D., Vihervaara, P., Darvishzadeh, R., Feilhauer, H., Fernandez, M., Fernández, N., Gorelick, N., Geijzendorffer, I., Heiden, U., Heurich, M., Hobern, D., Holzwarth, S., Muller-Karger, F. E., … Wingate, V.https://doi.org/10.1038/s41559-021-01527-8Estimating fine-scale visibility in a temperate forest landscape using airborne laser scanning (2021)International Journal of Applied Earth Observation and Geoinformation (JAG), 103, 1-11. Article 102478. Zong, X., Wang, T., Skidmore, A. K. & Heurich, M.https://doi.org/10.1016/j.jag.2021.102478A laboratory for conceiving Essential Biodiversity Variables (EBVs): The “Data Pool Initiative for the Bohemian Forest Ecosystem” (2021)Methods in ecology and evolution, 12(11), 2073-2083. Latifi, H., Holzwarth, S., Skidmore, A. K., Brůna, J., Červenka, J., Darvishzadeh, R., Hais, M., Heiden, U., Homolova, L. & Wang, T.https://doi.org/10.1111/2041-210X.13695Determination of optimal flight altitude to minimise acoustic drone disturbance to wildlife using species audiograms (2021)Methods in ecology and evolution, 12(11), 2196-2207. Duporge, I., Spiegel, M. P., Thomson, E. R., Chapman, T., Lamberth, C., Pond, C., Macdonald, D. W., Wang, T. & Klinck, H.https://doi.org/10.1111/2041-210X.13691The critical role of tree species and human disturbance in determining the macrofungal diversity in Europe (2021)Global ecology and biogeography, 30(10), 2084-2100. Yu, H., Wang, T., Skidmore, A., Heurich, M. & Bässler, C.https://doi.org/10.1111/geb.13372Using very‐high‐resolution satellite imagery and deep learning to detect and count African elephants in heterogeneous landscapes (2021)Remote sensing in ecology and conservation, 7(3), 369-381. Duporge, I., Isupova, O., Macdonald, D., Reece, S. & Wang, T.https://doi.org/10.1002/rse2.195An old-growth subtropical evergreen broadleaved forest suffered more damage from Typhoon Mangkhut than an adjacent secondary forest (2021)Forest ecology and management, 496, 1-8. Article 119433. Ni, Y., Wang, T., Cao, H., Li, Y., Bin, Y., Zhang, R., Wang, Y., Lian, J. & Ye, W.https://doi.org/10.1016/j.foreco.2021.119433Comparative evaluation of algorithms for leaf area index estimation from digital hemispherical photography through virtual forests (2021)Remote sensing, 13(16). Article 3325. Liu, J., Li, L., Akerblom, M., Wang, T., Skidmore, A., Zhu, X. & Heurich, M.https://doi.org/10.3390/rs13163325Author Correction: Priority list of biodiversity metrics to observe from space (Nature Ecology & Evolution, (2021), 5, 7, (896-906), 10.1038/s41559-021-01451-x) (2021)Nature Ecology & Evolution, 5(7), 1046. Skidmore, A. K., Coops, N. C., Neinavaz, E., Ali, A., Schaepman, M. E., Paganini, M., Kissling, W. D., Vihervaara, P., Darvishzadeh, R., Feilhauer, H., Fernandez, M., Fernández, N., Gorelick, N., Geijzendorffer, I., Heiden, U., Heurich, M., Hobern, D., Holzwarth, S., Muller-Karger, F. E., … Wingate, V.https://doi.org/10.1038/s41559-021-01492-2Low-elevation endemic Rhododendrons in China are highly vulnerable to climate and land use change (2021)Ecological indicators, 126, 1-18. Article 107699. Yu, F., Wu, Z., Shen, J., Huang, J., Groen, T. A., Skidmore, A. K., Ma, K. & Wang, T.https://doi.org/10.1016/j.ecolind.2021.107699Priority list of biodiversity metrics to observe from space (2021)Nature Ecology & Evolution, 5(7), 896-906. Skidmore, A. K., Coops, N. C., Neinavaz, E., Ali, A., Schaepman, M. E., Paganini, M., Kissling, W. D., Vihervaara, P., Darvishzadeh, R., Feilhauer, H., Fernandez, M., Fernández, N., Gorelick, N., Geizendorffer, I., Heiden, U., Heurich, M., Hobern, D., Holzwarth, S., Muller-karger, F. E., … Wingate, V.https://doi.org/10.1038/s41559-021-01451-xAfrican elephant (Loxodonta africana) select less fragmented landscapes to connect core habitats in human‐dominated landscapes (2021)African journal of ecology, 59(2), 370-377. Article 12839. Gara, T., Wang, T., Dube, T., Ngene, S. M. & Mpakairi, K.https://doi.org/10.1111/aje.12839Mapping individual silver fir trees using hyperspectral and LiDAR data in a Central European mixed forest (2021)International Journal of Applied Earth Observation and Geoinformation (JAG), 98, 1-12. Article 102311. Shi, Y., Wang, T., Skidmore, A. K., Holzwarth, S., Heiden, U. & Heurich, M.https://doi.org/10.1016/j.jag.2021.102311
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