Using Laser Altimetry-Based Segmentation to Refine Automated Tree Identification in Managed Forests of the Black Hills, South Dakota

Photogrammetric Engineering and Remote Sensing - United States
doi 10.14358/pers.72.12.1379
Full Text
Abstract

Available in full text

Date
Authors
Publisher

American Society for Photogrammetry and Remote Sensing

Related search

Lumber Recovery From Ponderosa Pine in the Black Hills, South Dakota /

1985English

Not All Forests Are Disturbed Equally : Population Dynamics and Resource Selection of Black-Backed Woodpeckers in the Black Hills, South Dakota

English

Geology and Pegmatites of the Fourmile Quadrangle, Black Hills, South Dakota

1959English

Geologic Environment of an Oxidized Uranium Deposit in the Black Hills, South Dakota

1962English

Maps Showing Geology, Structure, and Geophysics of the Central Black Hills, South Dakota

Scientific Investigations Map
2008English

Petrogenesis and Tectonic Implications of Mafic Rocks in the Precambrian Core of the Black Hills, South Dakota

English

Factors Affecting Spatial and Temporal Dynamics of an Ungulate Assemblage in the Black Hills, South Dakota

English

Automated Vertebrae Extraction Using Watershed Segmentation and Tree-Based Modelling Approach

Journal of Fiber Bioengineering and Informatics
2015English

Petrographic Study of Sandstone of the Inyan Kara Group (Cretaceous) and Associated Rocks in the Black Hills, Wyoming and South Dakota

1957English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy