Abstract: Techniques for registering carbon sequestration include: receiving carbon sequestration data corresponding portions of a geographic region; comparing entries to a registry; assigning entries to clusters associated with carbon sequestration values; and determining a total carbon sequestration based on an aggregating of carbon sequestration values of the entries. In another aspect, a register-based carbon sequestration may utilize continuous learning, including generating estimates of carbon sequestration based on high-resolution aerial LiDAR, multispectral imagery, or the like. Unsupervised learning and a ground-based calibration procedure are usable to delineate distinct forest types within mixed forest area. Such a calibrated carbon sequestration system demonstrates superior accuracy compared to satellite-based analysis, and is able to estimate carbon sequestration on a grid, enabling generalization across multiple forest types and scales of aggregation within a unified framework.