Abstract: A computer system creates and stores a library of LiDAR models for standard trees that have measured characteristics. A point cloud of LiDAR data from an unidentified tree in a forest is compared against a point cloud defined by a LiDAR model of a standard tree in the library to find a match. If a match is found, one or more characteristics of the matching standard tree are associated with the unidentified tree.

Abstract: A false color composite image is created by assigning mid infrared data from three time-spaced images of an area of interest to corresponding RGB color components for the false color composite image. The RGB color components for the false color composite image are then converted into color space data and classified into a number of color classes. An age is assigned to the color classes to create a classified image of age classes of the area of interest.

Abstract: A system for identifying forest stands within an area of interest that are exhibiting abnormal growth determines a relationship between vegetation index (VI) values determined from a first and a second image of the area of interest. From the relationship, an expected or predicted VI value for each forest stand is determined and compared with the actual VI value computed for the forest stand from the first image. Those forest stands with a difference between the actual and predicted VI values that exceed a threshold are identified as exhibiting abnormal growth.

Abstract: A system for filling in and/or replacing pixel data in a target image uses pixel data from a source image. In one embodiment, the pixel data in the source image are classified and boundaries of local class areas or groups of similarly classified pixels are determined. The pixel data in the local class areas are compared to determine one or more scaling factors. The missing pixel data or data to be replaced in the target image is obtained from the source image and scaled with the one or more scaling factors.