A5053009546- Remote Sensing and LiDAR Applications
- Forest ecology and management
- Plant Water Relations and Carbon Dynamics
- Remote Sensing in Agriculture
- Forest Ecology and Biodiversity Studies
- Forest Biomass Utilization and Management
- Tree Root and Stability Studies
- Leaf Properties and Growth Measurement
- 3D Surveying and Cultural Heritage
- Forest Management and Policy
- Pasture and Agricultural Systems
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Land Use and Ecosystem Services
- Optical Systems and Laser Technology
- Plant biochemistry and biosynthesis
- Ecology and Vegetation Dynamics Studies
- Landslides and related hazards
- Adaptive optics and wavefront sensing
- Astronomical Observations and Instrumentation
Wageningen University & Research
2017-2024
Center for International Forestry Research
2017-2019
The poor constraint of forest Above Ground Biomass (AGB) is responsible, in part, for large uncertainties modelling future climate scenarios. Terrestrial Laser Scanning (TLS) can be used to derive unbiased and non-destructive estimates tree structure volume can, therefore, address key AGB estimates. Here we review our experience TLS sampling strategies from 27 campaigns conducted over the past 5 years, across tropical temperate plots, where data was captured with a RIEGL VZ-400 laser...
Abstract Tropical forest biomass is a crucial component of global carbon emission estimations. However, calibration and validation such estimates require accurate effective methods to estimate in situ above‐ground (AGB). Present rely on allometric models that are highly uncertain for large tropical trees. Terrestrial laser scanning (TLS) tree modelling has demonstrated be more than these infer AGB. Nevertheless, applying TLS trees still challenging. We propose method AGB by three‐dimensional...
In recent years, LIght Detection And Ranging (LiDAR) and especially Terrestrial Laser Scanning (TLS) systems have shown the potential to revolutionise forest structural characterisation by providing unprecedented 3D data. However, manned Airborne (ALS) requires costly campaigns produces relatively low point density, while TLS is labour intense time demanding. Unmanned Aerial Vehicle (UAV)-borne laser scanning can be way in between. this study, we present first results experiences with RIEGL...
Calibration and validation of aboveground biomass (AGB) products retrieved from satellite-borne sensors require accurate AGB estimates across hectare scales (1 to 100 ha). Recent studies recommend making use non-destructive terrestrial laser scanning (TLS) based techniques for individual tree estimation that provide unbiased predictors. However, applying these large sites landscapes remains logistically challenging. Unoccupied aerial vehicle (UAV-LS) has the potential address this through...
Abstract Improving the global monitoring of above‐ground biomass (AGB) is crucial for forest management to be effective in climate mitigation. In last decade, methods have been developed estimating AGB from terrestrial laser scanning (TLS) data. TLS‐derived estimates can address current uncertainties allometric and Earth observation (EO) that quantify AGB. We assembled a dataset TLS scanned consecutively destructively measured trees variety conditions reconstruction pipelines. The comprised...
A method using terrestrial laser scanning and 3D quantitative structure models opens up new possibilities to reconstruct tree architecture from tropical rainforest trees. Tree is the three-dimensional arrangement of above ground parts a tree. Ecologists hypothesize that topology branches represents optimized adaptations tree's environment. Thus, an accurate description leads better understanding how form driven by function. Terrestrial (TLS) has demonstrated its potential characterize woody...
Large uncertainties in tree and forest carbon estimates weaken national efforts to accurately estimate aboveground biomass (AGB) for their monitoring, measurement, reporting verification system. Allometric equations have improved, but remain limited. They rely on destructive sampling; large trees are under-represented the data used create them; they cannot always be applied different regions. These factors lead systematic errors estimations. We developed allometric models AGB Guyana. were...
Abstract Climate change and increasing human activities are impacting ecosystems their biodiversity. Quantitative measurements of essential biodiversity variables (EBV) climate used to monitor carbon dynamics evaluate policy management interventions. Ecosystem structure is at the core EBVs stock estimation can help inform assessments species diversity. also as an indirect indicator habitat quality expected richness or community composition. Spaceborne provide large‐scale insight into...
The relationship between form and function in trees is the subject of a longstanding debate forest ecology provides basis for theories concerning ecosystem structure metabolism. Trees interact with wind dynamic manner exhibit natural sway frequencies damping processes that are important understanding damage. Tree-wind dynamics related to tree architecture, but this not well understood. We present comprehensive view by compiling dataset field measurement spanning conifers broadleaves,...
Abstract Tree allometric models, essential for monitoring and predicting terrestrial carbon stocks, are traditionally built on global databases with forest inventory measurements of stem diameter (D) tree height (H). However, these often combine H obtained through various measurement methods, each distinct error patterns, affecting the resulting H:D allometries. In recent decades, laser scanning (TLS) has emerged as a widely accepted method accurate, non‐destructive structural measurements....
Canopy structure, defined by leaf area index (LAI), fractional vegetation cover (FCover) and fraction of absorbed photosynthetically active radiation (fAPAR), regulates a wide range forest functions ecosystem services. Spatially consistent field-measurements canopy structure are however lacking, particularly for the tropics. Here, we introduce Global LAI database: global dataset field-based measurements spanning tropical forests in four continents (Africa, Asia, Australia Americas). We use...
Crown shyness describes the phenomenon whereby tree crowns avoid growing into each other, producing a puzzle-like pattern of complementary in canopy. Previous studies found that slenderness plays role development crown shyness. Attempts to quantify have largely been confined 2-D approaches. This study aimed expand current set metrics for by quantifying characteristic 3-D surface complementarity between trees displaying shyness, using LiDAR-derived point clouds. Subsequently, relationship and...
Abstract Utilizing terrestrial laser scanning (TLS) and three-dimensional modeling, this study quantitatively assessed the woody surface areas of 2161 trees across ecosystems encompassing both tropical temperate forests. TLS enables precise measurement tree structures at unprecedented scales. This research builds on theoretical scaling relationships with empirical data, significantly refining our understanding area. Key findings indicate that direct measurements diverge from predictions,...
A description and test results for a new method automatically isolating individual trees from UAV LiDAR point clouds is presented. The isolation based on shortest path computations with height the ground working as restriction. tested 4 ha tropical forest plot, which also scanned TLS to provide comparison data results. show that average intersection volume of common voxel between covers 56 % tree 44 trees.
Abstract Functional–structural plant (FSP) models are useful tools for understanding functioning and how plants react to their environment. Developing tree FSP is data-intensive measuring architecture using conventional measurement a laborious process. Light detection ranging (LiDAR) could be an alternative nondestructive method obtain structural information about architecture. This research investigated terrestrial LiDAR (TLS)-derived traits used in the design parameterization of models. A...
Obtaining accurate and detailed structural forest information has been revolutionized with the emergence of laser scanning. The sampling limitations potential different scanning platforms (e.g. TLS, UAV -LS) have, however, not fully explored for dense tropical forests. We fused data from terrestrial (TLS) drone (UA V platform two plots calculated their vertical point density profiles to gain insight in abilities. Our results reveal TLS sample top canopy a rainforest. also demonstrate how...