CHM-MS-net-Canopy-Height-Model

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Authors: Adam Lee Atchley, Charles J. Abolt
Cited by: 0

Abstract

The CHM-MS-net Canopy Height Model is a MS-net neural network applied to high resolution satellite imagery to estimate tree height, tree location, and crown radius.

Fields of Study & Subjects

Remote Sensing and LiDAR Applications Remote-Sensing Image Classification Remote Sensing in Agriculture

Publication details

Journal / source
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
Publication date
1 January 2026
Language
EN