| Autor: |
Hernando A, Puerto L, Mola-Yudego B, Manzanera José A, García-Abril A, Maltamo M, Valbuena R |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
iForest - Biogeosciences and Forestry, Vol 12, Iss 1, Pp 207-213 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
1971-7458 |
| DOI: |
10.3832/ifor2735-012 |
| Popis: |
In order to consider forest biomass as a real alternative for energy production, it is critical to obtain accurate estimates of its availability using non-destructive sampling methods. In this study, we estimate the biomass available in a Scots pine-dominated forest (Pinus sylvestris L.) located in Spain. The biomass estimates were obtained using LiDAR data combined with a multispectral camera and allometric equations. The method used to fuse the data was based on back projection, which assures a perfect match between both datasets. The results present estimates for each of the seven different biomass components: above ground, below ground, log, needles, and large, medium and small branches. The accuracy of the models varied between R2 values of 0.46 and 0.67 with RMSE% ranging from 15.72% to 35.43% with all component estimates below 20%, except for the model estimating biomass of big branches. The models in this study are suitable for the estimation of biomass and demonstrate that computation is possible at a fine scale for the different biomass components. These remote sensing methods are sufficiently accurate to develop biomass resource cartography for multiple energy uses. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
