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Disambiguation of "Jiao, Quanjun"

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Enabling Deep-Neural-Network-Integrated Optical and SAR Data to Estimate the Maize Leaf Area Index and Biomass with Limited In Situ Data.

, , , , , , and . Remote. Sens., 14 (21): 5624 (2022)

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Quanjun Chen

Li Jiao

Yang Jiao

Yuanyong Jiao

Xiangyang Jiao

 

Other publications of authors with the same name

A Landsat-5 Atmospheric Correction Based on MODIS Atmosphere Products and 6S Model., , , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 7 (5): 1609-1615 (2014)Machine Learning Algorithms for the Retrieval of Canopy Chlorophyll Content and Leaf Area Index of Crops Using the PROSAIL-D Model with the Adjusted Average Leaf Angle., , , , , and . Remote. Sens., 15 (9): 2264 (May 2023)The Potential of Hue Angle Calculated Based on Multispectral Reflectance for Leaf Chlorophyll Content Estimation., , , , , , , and . IEEE Trans. Geosci. Remote. Sens., (2023)Evaluating the capabilities of vegetation spectral indices on chlorophyll content estimation at Sentinel-2 spectral resolutions., , and . MIPPR, volume 10611 of SPIE Proceedings, page 106111F. SPIE, (2017)Detecting of forest afforestation and deforestation in Hainan Jianfengling Forest Park (China) using yearly Landsat time-series images., , and . MIPPR, volume 10611 of SPIE Proceedings, page 106111A. SPIE, (2017)Enabling Deep-Neural-Network-Integrated Optical and SAR Data to Estimate the Maize Leaf Area Index and Biomass with Limited In Situ Data., , , , , , and . Remote. Sens., 14 (21): 5624 (2022)Evaluation of Hybrid Models for Maize Chlorophyll Retrieval Using Medium- and High-Spatial-Resolution Satellite Images., , , , , , , and . Remote. Sens., 15 (7): 1784 (April 2023)Improving the Retrieval of Forest Canopy Chlorophyll Content From MERIS Dataset by Introducing the Vegetation Clumping Index., , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)Improving the Retrieval of Crop Canopy Chlorophyll Content Using Vegetation Index Combinations., , , , , and . Remote. Sens., 13 (3): 470 (2021)A Random Forest Algorithm for Retrieving Canopy Chlorophyll Content of Wheat and Soybean Trained with PROSAIL Simulations Using Adjusted Average Leaf Angle., , , , , , , and . Remote. Sens., 14 (1): 98 (2022)