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Dong Y., Jing Li, Ziti Jiao , Qinhuo Liu et al.. A Method for Retrieving Coarse-Resolution Leaf Area Index for Mixed Biomes Using a Mixed-Pixel Correction Factor. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 61, 2023. 10.1109/TGRS.2023.3235949
Tong Y, Jiao Z.*, Zhang X., Yin S., Guo J. An Improved Method for Estimating Clumping Index by Digital Hemispheric Photography With Field Measurements. IEEE Geoscience and Remote Sensing Letters. 2022; 19: 1-5, Print ISSN: 1545-598X, Online ISSN: 1558-0571, DOI: 10.1109/LGRS.2022.3216274
Ding A., Liang, S. Jiao, Z, Ma, H., Kokhanovsky, A., Peltoniemi, J. Improving the Asymptotic Radiative Transfer Model to Better Characterize the Pure Snow Hyperspectral Bidirectional Reflectance, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 60, 2022
Cui L, Sun M, Jiao Z, Park J, Agca M, Zhang H, He L, Dai Y, Dong Y, Zhang X, Lian Y, Chen L, Zhao K. Effectiveness of the Reconstructed MODIS Typical-Angle Reflectances on Forest Biomass Estimation. Remote Sensing. 2022; 14(21):5475. https://doi.org/10.3390/rs14215475
Yin, S.; Jiao, Z.*; Dong, Y.; Zhang, X.; Cui, L.; Xie, R.; Guo, J.; Li, S.; Zhu, Z.; Tong, Y.; et al. Evaluation of the Consistency of the Vegetation Clumping Index Retrieved from Updated MODIS BRDF Data. Remote Sens. 2022, 14, 3997. https://doi.org/10.3390/rs14163997
Zhang, H.; Zhao, M.; Jiao, Z.*; Lian, Y.; Chen, L.; Cui, L.; Zhang, X.; Liu, Y.; Dong, Y.; Qian, D.; et al. (2022). Reflectance Anisotropy from MODIS for Albedo Retrieval from a Single Directional Reflectance. Remote Sens. 2022, 14, 3627. https://doi.org/10.3390/rs14153627
Mei, L.; Rozanov, V; Jiao, Z.; Burrows, J. P. (2022). A new snow bidirectional reflectance distribution function model in spectral regions from UV to SWIR: Model development and application to ground-based, aircraft and satellite observations. ISPRS Journal of Photogrammetry and Remote Sensing 188 (2022) 269–285.
Zhang X, Jiao Z.*, Zhao C, Qu Y, Liu Q, Zhang H, Tong Y, Wang C, Li S, Guo J, Zhu Z, Yin S, Cui L.(2022). Review of Land Surface Albedo: Variance Characteristics, Climate Effect and Management Strategy. Remote Sensing. 2022; 14(6):1382. https://doi.org/10.3390/rs14061382
Zhang, X.; Jiao, Z.*; Zhao, C.; Guo, J.; Zhu, Z.; Liu, Z.; Dong, Y.; Yin, S.; Zhang, H.; Cui, L.; Li, S.; Tong, Y.; Wang, C.(2022). Evaluation of BRDF Information Retrieved from Time-Series Multiangle Data of the Himawari-8 AHI. Remote Sens. 2022, 14, 139. https://doi.org/10.3390/rs14010139
Zhang, X.; Jiao, Z.*; Zhao, C.; Yin, S.; Cui, L.; Dong, Y.; Zhang, H.; Guo, J.; Xie, R.; Li, S. (2021). Retrieval of Leaf Area Index by Linking the PROSAIL and Ross-Li BRDF Models Using MODIS BRDF Data. Remote Sens. 2021, 13, 4911. https://doi.org/10.3390/rs13234911
Li, Y.; Jiao, Z.*; Zhao, K.; Dong, Y.; Zhou, Y.; Zeng, Y.; Xu, H.; Zhang, X.; Hu, T.; Cui, L. (2021). Influence of Varying Solar Zenith Angles on Land Surface Phenology Derived from Vegetation Indices: A Case Study in the Harvard Forest. Remote Sens. 2021, 13, 4126. https://doi.org/10.3390/rs13204126
Cui, L.; Jiao, Z.*; Zhao, K.; Sun, M.; Dong, Y.; Yin, S.; Zhang, X.; Guo, J.; Xie, R.; Zhu, Z.; Li,S.; Tong, Y. (2021). Retrieving Forest Canopy Elements Clumping Index using ICESat GLAS Lidar Data. Remote Sens. 2021, 13, 948. https://doi.org/10.3390/rs13050948
Chang, Y., Jiao,Z.*, Zhang, X., Mei, L, Dong, Y., Yin, S., Cui, L., Ding, A., Guo, J., Xie, R.,Zhu, Z., Li, S. (2021). Assessment of Improved Ross-Li BRDF Models Emphasizing Albedo Estimates at Large Solar Angles Using POLDER Data. IEEE Transactions on Geoscience and Remote Sensing. 59(12): 9968-9986, DECEMBER 2021.
Cui, L.; Jiao, Z*.; Zhao, K.; Sun, M.; Dong, Y.; Yin, S.; Li, Y.; Chang, Y.; Guo, J.; Xie, R.; Zhu, Z.; Li, S. (2020). Retrieval of Vertical Foliage Profile and Leaf Area Index Using Transmitted Energy Information Derived from ICESat GLAS Data. Remote Sens. 2020, 12, 2457. doi:10.3390/rs12152457.
Mei, L., Rozanov, V., Ritter, C., Heinold, B., Jiao, Z., Vountas, M., Burrows, J. P. (2020). Retrieval of Aerosol Optical Thickness in the Arctic Snow-Covered Regions Using Passive Remote Sensing: Impact of Aerosol Typing and Surface Reflection Model. IEEE Transactions on Geoscience and Remote Sensing (TGRS). DOI: 10.1109/TGRS.2020.2972339.
Zhang, X., Jiao, Z.*, Dong, Y. , He, T., Ding, A., Yin, S., Zhang, H., Cui, L., Chang, Y., Guo, J. and Xie, R. (2020). Development of the Direct-Estimation Albedo Algorithm for Snow-Free Landsat TM Albedo Retrievals Using Field Flux Measurements. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 58 (3): 1550-1567, March 2020. doi: 10.1109/TGRS.2019.2946598
Cui, L., Jiao, Z.*, Dong, Y., Sun, M., Zhang,X., Yin, S., Ding, A, Chang, Y., Guo, J.,Xie, R. (2019). Estimating Forest Canopy Height Using MODIS BRDF Data Emphasizing Typical-Angle Reflectances. Remote Sens. 11(19), 2239; https://doi.org/10.3390/rs11192239
Dong,Y., Jiao, Z.*, Cui, L., Zhang, H.,Zhang, X., Yin, S., Ding, A., Chang, Y., Xie, R., Guo, J. (2019). Assessment ofthe Hotspot Effect for the PROSAIL Model With POLDER Hotspot Observations Basedon the Hotspot-Enhanced Kernel-Driven BRDF Model. IEEE Transactions on Geoscienceand Remote Sensing (TGRS). 57 (10): 8048-8064, DOI: 10.1109/TGRS. 2019.2917923.
Ding, A., Jiao,Z.*, Dong, Y., Zhang, X., Peltoniemi,J.I., Mei, L., Guo, J., Yin,S., Cui, L., Chang, Y., Xie, R. (2019). Evaluation of the Snow Albedo Retrieved from the Snow Kernel Improved the Ross-Roujean BRDF Model. Remote Sens. 2019, 11,1611.
Ding, A., Jiao, Z.*, Yadong Dong, Ying Qu, Xiaoning Zhang, Chuan Xiong, Dandan He, SiyangYin, Lei Cui & Yaxuan Chang (2019): An assessment of the performance of two snow kernels in characterizing snow scattering properties, International Journal of Remote Sensing, DOI: 10.1080/01431161.2019.1590878
Jiao, Z., Ding, A., Kokhanovsky, A.,Schaaf, C., Bréon, F-M., Dong, Y., Wang, Z., Liu, Y., Zhang, X., Yin, S., Cui, L.,Mei, L., Chang, Y. (2019). Development of a snow kernel to better model the anisotropic reflectance of pure snow in a kernel-driven BRDF model framework. Remote Sensing of Environment. 221 (2019) 198–209.
Liu, Q., Yan, G., Jiao Z., Xiao., Q, Wen, J., Liang S,Wang J, Schaaf C, Strahler A. (2018). From Geometric-Optical Remote Sensing Modeling to Quantitative Remote Sensing Science—In Memory of Academician Xiaowen Li. Remote Sensing. 10 (11): 1764. https://doi.org/10.3390/rs10111764 (ImpactFactor: 3.406 (2017); 5-Year Impact Factor: 3.952 (2017)).
Zhang, H., Jiao, Z.*, ChenL., Dong, Y., Zhang X., Lian, Y., Qian, D., Cui, T.(2018). Quantifying the Reflectance Anisotropy Effect on Albedo Retrieval from Remotely Sensed Observations Using Archetypal BRDFs. Remote Sens. 10, 1628;doi:10.3390/rs10101628 (ImpactFactor: 3.406 (2017); 5-Year Impact Factor: 3.952(2017))
Dong, Y.; Jiao, Z.*; Yin, S.; Zhang, H.; Zhang, X.; Cui, L.; He, D.; Ding, A.;Chang, Y.; Yang, S. Influence of Snow on the Magnitude and Seasonal Variation of the Clumping Index Retrieved from MODIS BRDF Products (2018). Remote Sens. 10, 1194. (ImpactFactor: 3.406 (2017) ; 5-Year Impact Factor: 3.952 (2017))
Jiao, Z. Zhang, X., Bréon,F.M. Dong, Y., Schaaf,C., Román, M., Wang, Z., Cui, L, Yin, S., Ding,A., Wang, J., 2018. The influence of spatial resolution on the angular variation patterns of optical reflectance as retrieved from MODIS and POLDER measurements.Remote Sensing of Environment. 215 (2018) 371–385.
Jiao, Z.,Dong, Y., Schaaf, C.B., Chen, J.M., Román, M., Wang, Z., Zhang, H., Ding, A.,Erb, A., Hill, M.J., Zhang, X., Strahler, A., 2018. An algorithm for the retrieval of the clumping index (CI) from the MODIS BRDF product using an adjusted version of the kernel-driven BRDF model. Remote Sensing of Environment. 209, 594–611.
Dong,Y., Jiao, Z.*, Ding, A., Zhang, H.,Zhang, X., Li, Y., He, D., Yin, S., & Cui, L. (2018). A modified version of the kernel-driven model for correcting the diffuse light of ground multi-angular measurements. Remote Sensing of Environment, 210, 325-344. (Impact Factor: 6.457; 5-Year Impact Factor: 7.737).
Zhang,X., Jiao, Z.*, Dong, Y., Zhang, H.,Li, Y., He, D., Ding, A., Yin, S., Cui, L., & Chang, Y. (2018). Potential Investigation of Linking PROSAIL with the Ross-Li BRDF Model for Vegetation Characterization. Remote Sensing, 10. (Impact Factor: 3.406 (2017) ; 5-Year Impact Factor: 3.952 (2017))
Jiao, Z.,Schaaf, C.B., Dong, Y., Román, M., Hill, M.J., Chen, J.M., Wang, Z., Zhang, H.,Saenz, E., Poudyal, R., Gatebe, C., Bréon, F., Li, X., Strahler, A., 2016. A method for improving hotspot directional signatures in BRDF models used for MODIS. Remote Sensing of Environment. 186, 135–151.
Dong,Y., Jiao, Z.*, Zhang, H., Bai, D.,Zhang, X., Li, Y., He, D., 2016. A visualization tool for the kernel-driven model with improved ability in data analysis and kernel assessment. Comput. Geosci. 95, 1–10. (Impact Factor : 2.533)
ZhangH, Jiao Z.*, Dong Y, Du P, Li Y, LianY, Cui T. Analysis of Extracting Prior BRDF from MODIS BRDF Data. Remote Sensing. 2016; 8(12):1004. Impact Factor: 3.244 (2016); 5-Year Impact Factor:3.749 (2016))
Zhang,H., Jiao, Z.*, Dong, Y., & Li, X.(2015). Evaluation of BRDF archetypes for representing surface reflectance anisotropy using MODIS BRDF data. Remote Sensing, 7, 7826–7845. Impact Factor:3.036.
Jiao, Z.,Zhang, H., Dong, Y., Liu, Q., Xiao, Q., Li, X., 2015. An algorithm for retrieval of surface albedo from small view-angle airborne observations through the use of BRDF archetypes as prior knowledge. IEEE J. Sel. Top. Appl. EarthObserv. Remote Sen. 8, 3279–3293. Impact Factor: 3.026
Jiao, Z.,Hill, M.J., Schaaf, C.B., Zhang, H., Wang, Z.S., Li, X.W., 2014. An anisotropicflat index (AFX) to derive BRDF archetypes from MODIS. Remote Sensing of Environment.141, 168–187.
Huang,X., Jiao, Z.*; Dong, Y., Zhang, H.,Li, X., (2013). Analysis of BRDF and Albedo Retrieved by Kernel-Driven Models Using Field Measurements. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTHOBSERVATIONS AND REMOTE SENSING, 6(1): 149-161. ISSN: 1939-1404.
Jiao, Z.,Li, X., 2012. Effects of multiple view angles on the classification of forward modeled MODIS reflectance. Can. J. Remote. Sens. 38, 461–474.
Jiao, Z.,Woodcock, C., Schaaf, C.B., Tan, B., Liu, J., Gao, F., Strahler, A., Li, X.,Wang, J., 2011. Improving MODIS land cover classification by combining MODIS spectral and angular signatures in a Canadian boreal forest. Can. J. Remote.Sens. 37, 184–203.
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