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Disambiguation of "Yan, Guangjian"

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Indirect measurement of forest leaf area index using path length model and Multispectral Canopy Imager.

, , , and . IGARSS, page 1957-1960. IEEE, (2015)

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Guangjian Yu

Yan Yan

Shanshan Yan

Americanization in China: an analysis of General Motors and its strategies in China. Uni Mainz, (2009)

Yan Xu

Untersuchungen zur Verleimung von Holz und Holzspanplatten mit UF-Leimharzen und PMDI. TU Braunschweig, (2009)

Yan Xu

 

Other publications of authors with the same name

Recent Progress in Quantitative Land Remote Sensing in China., , and . Remote Sensing, 10 (9): 1490 (2018)From Geometric-Optical Remote Sensing Modeling to Quantitative Remote Sensing Science - In Memory of Academician Xiaowen Li., , , , , , , , and . Remote Sensing, 10 (11): 1764 (2018)Spectral Recalibration for In-Flight Broadband Sensor Using Man-Made Ground Targets., , , , , and . IEEE Trans. Geosci. Remote. Sens., 51 (7-2): 4316-4329 (2013)Filtering Airborne LiDAR Data Through Complementary Cloth Simulation and Progressive TIN Densification Filters., , , , , , , and . Remote. Sens., 11 (9): 1037 (2019)Evaluation of MODIS LAI/FPAR Product Collection 6. Part 2: Validation and Intercomparison., , , , , , , , and . Remote. Sens., 8 (6): 460 (2016)Evaluation of MODIS LAI/FPAR Product Collection 6. Part 1: Consistency and Improvements., , , , , , , , and . Remote. Sens., 8 (5): 359 (2016)Quantifying Understory and Overstory Vegetation Cover Using UAV-Based RGB Imagery in Forest Plantation., , , , , , and . Remote. Sens., 12 (2): 298 (2020)A Scaling-Based Method for the Rapid Retrieval of FPAR From Fine-Resolution Satellite Data in the Remote-Sensing Trend-Surface Framework., , , , and . IEEE Trans. Geosci. Remote. Sens., 58 (10): 7035-7048 (2020)Estimation of Canopy and Woody Components Clumping Indices at Three MaturePicea crassifoliaForest Stands., , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 8 (4): 1413-1422 (2015)Correcting Crown-Level Clumping Effect for Improving Leaf Area Index Retrieval From Large-Footprint LiDAR: A Study Based on the Simulated Waveform and GLAS Data., , , , , , , , , and 2 other author(s). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)