Estimación de la distribución vertical de combustibles finos del dosel de copas en masas de Pinus sylvestris empleando datos LiDAR de baja densidad

Fidalgo-González, L. A.; Arellano-Pérez, Stéfano; González, Juan Gabriel Álvarez; Castedo‐Dorado, Fernando; Ruiz-González, Ana Daría; González-Ferreiro, Eduardo

doi:10.4995/raet.2019.11241

Cited by 10 publications

(7 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[26] and Eysn et al [27]). This technology has also been used for silvicultural operations, such as identifying the optimal time for thinning, assessment of thinning intensity [28,29], and forest fuel assessment for fire modelling [30][31][32][33]. ALS has also been widely researched for carbon inventory purposes, including the estimation of above-ground biomass [34][35][36][37][38] and for mapping forest carbon [39][40][41].…”

Section: Introductionmentioning

confidence: 99%

An Assessment of High-Density UAV Point Clouds for the Measurement of Young Forestry Trials

et al. 2020

View full text Add to dashboard Cite

The measurement of forestry trials is a costly and time-consuming process. Over the past few years, unmanned aerial vehicles (UAVs) have provided some significant developments that could improve cost and time efficiencies. However, little research has examined the accuracies of these technologies for measuring young trees. This study compared the data captured by a UAV laser scanning system (ULS), and UAV structure from motion photogrammetry (SfM), with traditional field-measured heights in a series of forestry trials in the central North Island of New Zealand. Data were captured from UAVs, and then processed into point clouds, from which heights were derived and compared to field measurements. The results show that predictions from both ULS and SfM were very strongly correlated to tree heights (R2 = 0.99, RMSE = 5.91%, and R2 = 0.94, RMSE = 18.5%, respectively) but that the height underprediction was markedly lower for ULS than SfM (Mean Bias Error = 0.05 vs. 0.38 m). Integration of a ULS DTM to the SfM made a minor improvement in precision (R2 = 0.95, RMSE = 16.5%). Through plotting error against tree height, we identified a minimum threshold of 1 m, under which the accuracy of height measurements using ULS and SfM significantly declines. Our results show that SfM and ULS data collected from UAV remote sensing can be used to accurately measure height in young forestry trials. It is hoped that this study will give foresters and tree breeders the confidence to start to operationalise this technology for monitoring trials.

show abstract

Section: Introductionmentioning

confidence: 99%

An Assessment of High-Density UAV Point Clouds for the Measurement of Young Forestry Trials

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Concerning crown fires, these only consume the thin branches and leaves (<6 mm) and modeling these emissions in high resolution at large scales would result in an exceedingly complex calculation. Nonetheless, high-resolution LiDAR and remote sensing-derived estimates would allow for computing the crown fire biomass in the following studies [93,94]. And lastly, we understand that chainsaws and mastication equipment also represent a CO 2 emission.…”

Section: Discussionmentioning

confidence: 98%

Fostering Carbon Credits to Finance Wildfire Risk Reduction Forest Management in Mediterranean Landscapes

Alcasena

Rodrígues

Gelabert

et al. 2021

Land

View full text Add to dashboard Cite

Despite the need for preserving the carbon pools in fire-prone southern European landscapes, emission reductions from wildfire risk mitigation are still poorly understood. In this study, we estimated expected carbon emissions and carbon credits from fuel management projects ongoing in Catalonia (Spain). The planning areas encompass about 1000 km2 and represent diverse fire regimes and Mediterranean forest ecosystems. We first modeled the burn probability assuming extreme weather conditions and historical fire ignition patterns. Stand-level wildfire exposure was then coupled with fuel consumption estimates to assess expected carbon emissions. Finally, we estimated treatment cost-efficiency and carbon credits for each fuel management plan. Landscape-scale average emissions ranged between 0.003 and 0.070 T CO2 year−1 ha−1. Fuel treatments in high emission hotspots attained reductions beyond 0.06 T CO2 year−1 per treated ha. Thus, implementing carbon credits could potentially finance up to 14% of the treatment implementation costs in high emission areas. We discuss how stand conditions, fire regimes, and treatment costs determine the treatment cost-efficiency and long-term carbon-sink capacity. Our work may serve as a preliminary step for developing a carbon-credit market and subsidizing wildfire risk management programs in low-revenue Mediterranean forest systems prone to extreme wildfires.

show abstract

“…It was important to check whether the existing fuel models in MVMC-SAC and MVMC no SAC were similar, as this factor could determine the behaviour of wildfires and, consequently, the area burnt [67]. For this purpose, we intersected the GIS layers of these territorial units (MVMC-SAC and MVMC no SAC) with the fuel models of the MFE4 [68], the base mapping of the fourth national forest inventory corresponding to the year 2009.…”

Section: Methodsmentioning

confidence: 99%

Influence of the Declaration of Protected Natural Areas on the Evolution of Forest Fires in Collective Lands in Galicia (Spain)

Rodríguez

Vicente

Pérez

2022

Forests

View full text Add to dashboard Cite

Since the adoption of European Union Council Directive 92/43 on the conservation of natural habitats and wild fauna and flora, some opposition has arisen among owners and managers of land affected by the directive. Some studies have indicated that some of this opposition has found expression in subsequent arson fires in these areas. This article analyses the occurrence of arson fires in the SACs (Special Areas of Conservation) included in the European ecological network, Natura 2000, in Galicia (Spain), more specifically in the montes vecinales en mano común (MVMCs), which are privately owned collective lands. We tested whether the declaration of SACs had a statistical impact on the forest fire regime in the period 1999–2014. The analyses focused on the sub-periods of 1999–2004 and 2005–2014, i.e., before and after the approval of the list of sites of community importance in the study area in December 2004. The results obtained show that, after the declaration of protection, there was a statistically significant increase in the area burnt by fire in these areas, mainly on private estates. We also found that the percentage of arson fires after 2004 was higher in SACs than in other territorial units. We found that the percentage of arson fires was reduced less in SACs than in other territorial units. Furthermore, we found that the area burnt per fire after 2004 in SACs was almost double that in the MVMC-SACs (12.04 ha versus 6.64 ha), so it can be concluded that the conservationist policies of the Natura 2000 network in Galicia have not had a positive effect on the forest fire regime.

show abstract

Estimación de la distribución vertical de combustibles finos del dosel de copas en masas de Pinus sylvestris empleando datos LiDAR de baja densidad

Cited by 10 publications

References 56 publications

An Assessment of High-Density UAV Point Clouds for the Measurement of Young Forestry Trials

An Assessment of High-Density UAV Point Clouds for the Measurement of Young Forestry Trials

Fostering Carbon Credits to Finance Wildfire Risk Reduction Forest Management in Mediterranean Landscapes

Influence of the Declaration of Protected Natural Areas on the Evolution of Forest Fires in Collective Lands in Galicia (Spain)

Contact Info

Product

Resources

About