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Estimation of Canopy Gap Fraction from Terrestrial Laser Scanner Using an Angular Grid to Take Advantage of the Full Data Spatial Resolution
| Content Provider | MDPI |
|---|---|
| Author | David, Riaño Mariano, García Martín, M. Pilar Gajardo, John Salas, Javier |
| Copyright Year | 2020 |
| Description | This paper develops an algorithm to estimate vegetation canopy gap fraction (GF), taking advantage of the full Terrestrial Laser Scanner (TLS) resolution. After calculating the TLS angular resolution, the algorithm identifies the missing laser hits (gaps) within an angular grid in the azimuthal and zenithal directions. The algorithm was first tested on angular data simulations with random (R), cluster (C) and random and cluster together (RC) gap pattern distributions. Noise introduced in the simulations as a percentage of the resolution accounted for the effect of TLS angular uncertainty. The algorithm performs accurately if angular noise is |
| Starting Page | 1596 |
| e-ISSN | 20724292 |
| DOI | 10.3390/rs12101596 |
| Journal | Remote Sensing |
| Issue Number | 10 |
| Volume Number | 12 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2020-05-17 |
| Access Restriction | Open |
| Subject Keyword | Remote Sensing Imaging Science Terrestrial Laser Scanner Gap Fraction Leaf Area Index Angular Grid Hemispherical Images |
| Content Type | Text |
| Resource Type | Article |