From post

Extending Airborne Lidar-Derived Estimates of Forest Canopy Cover and Height Over Large Areas Using kNN With Landsat Time Series Data.

, , , и . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 9 (8): 3489-3496 (2016)

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.

 

Другие публикации лиц с тем же именем

Effect of topographic correction on forest change detection using spectral trend analysis of Landsat pixel-based composites., , , , и . Int. J. Appl. Earth Obs. Geoinformation, (2016)Using GEDI Waveforms for Improved TanDEM-X Forest Height Mapping: A Combined SINC + Legendre Approach., , и . Remote. Sens., 13 (15): 2882 (2021)A National Assessment of Wetland Status and Trends for Canada's Forested Ecosystems Using 33 Years of Earth Observation Satellite Data., , , , , , и . Remote. Sens., 10 (10): 1623 (2018)Reply to Vauhkonen: Comment on Tompalski et al. Combining Multi-Date Airborne Laser Scanning and Digital Aerial Photogrammetric Data for Forest Growth and Yield Modelling. Remote Sens. 2018, 10, 347., , , , , и . Remote Sensing, 10 (9): 1432 (2018)An automated approach to detecting instream wood using airborne laser scanning in small coastal streams., , , , и . Int. J. Appl. Earth Obs. Geoinformation, (апреля 2023)The urban greenness score: A satellite-based metric for multi-decadal characterization of urban land dynamics., , , , , , и . Int. J. Appl. Earth Obs. Geoinformation, (2020)Mapping dynamic peri-urban land use transitions across Canada using Landsat time series: Spatial and temporal trends and associations with socio-demographic factors., , , , , и . Comput. Environ. Urban Syst., (2021)Mass data processing of time series Landsat imagery: pixels to data products for forest monitoring., , , , , и . Int. J. Digit. Earth, 9 (11): 1035-1054 (2016)Characterizing spatial-temporal patterns of landscape disturbance and recovery in western Alberta, Canada using a functional data analysis approach and remotely sensed data., , , , , , , , , и . Ecol. Informatics, (2017)Information Needs of Next-Generation Forest Carbon Models: Opportunities for Remote Sensing Science., и . Remote. Sens., 11 (4): 463 (2019)