Logging wastes from sustainable forest management in Amazon are promising for bioenergy; however, highly heterogeneous technological properties limit their proper application. This paper sought to study the potential of colorimetry in the segregation of logging wastes for bioenergy in Brazilian Amazon. Branches of twenty forest species were sampled at the Forest Management Area Rio Capim, Para?, Brazil. Analyses of the wood physical, chemical, energy, and colorimetric properties (CIEL*a*b* system) were performed. Our study detected relevant variations for basic density (0.525-0.895 g cm(-3)); energy density (10.2-18.2 GJ m(-3)); total extractives (1.8-17.9%); total lignin (30.2-38.1%); lightness (39-63); green/red axis (5-11); blue/yellow axis (9-23); color saturation (13-25), and hue angle (45-74). The parameters L*, b*, C, and h* presented negative relations with BD and ED. The most promising wood group (Manilkara elata and Dinizia excelsa) for bioenergy formed by principal component analysis pre-sented darker (purplish-brown) and densest woods (0.895 and 0.891 g cm-3), in addition to greater stored energy (17.8 and 18.2 GJ m-3). Thus, this research proved that colorimetry has a high potential to segregate logging wastes for the production of chips and charcoal. (C) 2020 Elsevier Ltd. All rights reserved.