Abstract
Leaf angle distribution (LAD) is an important canopy structure metric. It controls the flux of radiation, carbon and water, and has therefore been used in many radiative transfer, meteorological and hydrological models. However, LAD is too tedious to measure using conventional manual methods. Terrestrial laser scanning (TLS) has recently been proposed to estimate LAD due to its ability to record unprecedented detailed plant 3D structure. However, previous research was restricted to a controlled environment with simple canopy structure. In this research, TLS was used in a natural deciduous European beech forest to estimate LAD. Digital hemispherical photograph (DHP) was also used as a reference. The results demonstrated that both TLS and DHP could capture a variation of LAD in beech plots at different succession stages. Compared to DHP, TLS has the advantage of resolving foliar and woody materials, as well as deriving the 3D distribution of leaf angles.
| Original language | English |
|---|---|
| Title of host publication | IGARSS 2018 - IEEE International Geoscience and Remote Sensing Symposium |
| Subtitle of host publication | Observing, Understanding and Forecasting the Dynamics of Our Planet |
| Place of Publication | Piscataway, NJ |
| Publisher | IEEE |
| Pages | 8977-8980 |
| Number of pages | 4 |
| ISBN (Electronic) | 978-1-5386-7150-4 |
| ISBN (Print) | 978-1-5386-7151-1, 978-1-5386-7149-8 (USB) |
| DOIs | |
| Publication status | Published - 19 Nov 2018 |
| Event | 38th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018: Observing, Understanding and Forcasting the Dynamics of Our Planet - Feria Valencia Convention & Exhibition Center, Valencia, Spain Duration: 22 Jul 2018 → 27 Jul 2018 Conference number: 38 https://www.igarss2018.org/ |
Conference
| Conference | 38th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 |
|---|---|
| Abbreviated title | 2018 |
| Country/Territory | Spain |
| City | Valencia |
| Period | 22/07/18 → 27/07/18 |
| Internet address |
Keywords
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