From post

TRY – a global database of plant traits

, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , и . Global Change Biology, (2011)
DOI: 10.1111/j.1365-2486.2011.02451.x

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

A Comparative Assessment of the Performance of Individual Tree Crowns Delineation Algorithms from ALS Data in Tropical Forests., , , , , , , , и . Remote Sensing, 11 (9): 1086 (2019)Optical and SAR sensor synergies for forest and land cover mapping in a tropical site in West Africa., , , , , , , , , и . Int. J. Appl. Earth Obs. Geoinformation, (2013)TRY – a global database of plant traits, , , , , , , , , и 125 other автор(ы). Global Change Biology, (2011)Effect of Tree Phenology on LiDAR Measurement of Mediterranean Forest Structure., , и . Remote. Sens., 10 (5): 659 (2018)Mapping individual trees from airborne multi-sensor imagery., , , и . IGARSS, стр. 5411-5414. IEEE, (2015)Semi-Supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification., , , , , и . IGARSS, стр. 592-595. IEEE, (2019)Mapping Annual Global Forest Gain From 1983 to 2021 With Landsat Imagery., , , , , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2023)Identification of 100 fundamental ecological questions, , , , , , , , , и 24 other автор(ы). Journal of Ecology, 101 (1): 58--67 (2013)Global Airborne Laser Scanning Data Providers Database (GlobALS)—A New Tool for Monitoring Ecosystems and Biodiversity, , , , , , и . Remote Sensing, 12 (11): 1877 (июня 2020)Blind image fusion for hyperspectral imaging with the directional total variation, , , , , и . Inverse Problems, 34 (4): 044003 (2018)