( en | de | ru )

 

Disambiguation of "Zhang, Hankui K."

Author of the publication

copydeleteadd this publication to your clipboard
Estimating Brazilian Amazon Canopy Height Using Landsat Reflectance Products in a Random Forest Model with Lidar as Reference Data.

, , and . Remote. Sens., 16 (14): 2571 (July 2024)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Hankui Zhang

Zhang Zhang

Aman K K Bhasin

Meng Zhang

Methods and implementations of road-network matching. TU München, (2009)

K Böhm

 

Other publications of authors with the same name

A New Look at Image Fusion Methods from a Bayesian Perspective., and . Remote. Sens., 7 (6): 6828-6861 (2015)Computationally Inexpensive Landsat 8 Operational Land Imager (OLI) Pansharpening., and . Remote. Sens., 8 (3): 180 (2016)Investigation of Sentinel-2 Bidirectional Reflectance Hot-Spot Sensing Conditions., , and . IEEE Trans. Geosci. Remote. Sens., 57 (6): 3591-3598 (2019)Multi-temporal InSAR evidence of non-tidal ocean loading effects from Chaoshan coastal plain, China., , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2024)10 m crop type mapping using Sentinel-2 reflectance and 30 m cropland data layer product., , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2022)Analysis Ready Data: Enabling Analysis of the Landsat Archive., , , , , and . Remote Sensing, 10 (9): 1363 (2018)Evaluation of Landsat-8 and Sentinel-2A Aerosol Optical Depth Retrievals across Chinese Cities and Implications for Medium Spatial Resolution Urban Aerosol Monitoring., , , , and . Remote. Sens., 11 (2): 122 (2019)Demonstration of Percent Tree Cover Mapping Using Landsat Analysis Ready Data (ARD) and Sensitivity with Respect to Landsat ARD Processing Level., , , , and . Remote. Sens., 10 (2): 209 (2018)Estimating Brazilian Amazon Canopy Height Using Landsat Reflectance Products in a Random Forest Model with Lidar as Reference Data., , and . Remote. Sens., 16 (14): 2571 (July 2024)