A5073579637- Forest ecology and management
- Plant Water Relations and Carbon Dynamics
- Forest Management and Policy
- Robotics and Sensor-Based Localization
- Forest Ecology and Biodiversity Studies
- Tree-ring climate responses
- Ecology and Vegetation Dynamics Studies
- Remote Sensing and LiDAR Applications
- 3D Surveying and Cultural Heritage
- Advanced Vision and Imaging
- Robotic Path Planning Algorithms
- Urban Green Space and Health
- Tree Root and Stability Studies
- Land Use and Ecosystem Services
- Indoor and Outdoor Localization Technologies
- Smart Agriculture and AI
- Forest Biomass Utilization and Management
- Modular Robots and Swarm Intelligence
- Urban Heat Island Mitigation
- Fire effects on ecosystems
- Advanced Image and Video Retrieval Techniques
- Underwater Vehicles and Communication Systems
- Bioenergy crop production and management
- Plant responses to elevated CO2
- Remote Sensing in Agriculture
Technical University of Munich
2015-2024
Robert Bosch (Taiwan)
2008-2024
Robert Bosch (Germany)
2009-2022
Sapienza University of Rome
2019
Robert Bosch (India)
2018
Rhodes University
2017
University of Toronto
2017
Universidad del Rosario
2017
University of Canterbury
2017
The University of Melbourne
2017
Matching 2D range scans is a basic component of many localization and mapping algorithms. Most scan match algorithms require finding correspondences between the used features, i.e. points or lines. We propose an alternative representation for scan, normal distributions transform. Similar to occupancy grid, we subdivide plane into cells. To each cell, assign distribution, which locally models probability measuring point. The result transform piecewise continuous differentiable density, that...
Abstract Forest ecosystems have been exposed to climate change for more than 100 years, whereas the consequences on forest growth remain elusive. Based oldest existing experimental plots in Central Europe, we show that, currently, dominant tree species Norway spruce and European beech exhibit significantly faster (+32 77%), stand volume (+10 30%) standing stock accumulation (+6 7%) 1960. Stands still follow similar general allometric rules, but proceed rapidly through usual trajectories. As...
Tree crown size determines among others tree's growth, carbon sequestration, shading, filtering of fine air particulates, and risk wind-breaking. The dependence on species, resource supply, tree age complicates an accurate evaluation a space requirement, its size-dependent functions services in urban as well forested areas. Based world-wide dataset measurements 22 common species we first derived species-specific radius–stem diameter relationships for open grown conditions. By cluster...
NASA's Global Ecosystem Dynamics Investigation (GEDI) is collecting spaceborne full waveform lidar data with a primary science goal of producing accurate estimates forest aboveground biomass density (AGBD). This paper presents the development models used to create GEDI's footprint-level (~25 m) AGBD (GEDI04_A) product, including description datasets and procedure for final model selection. The fit our are from compilation globally distributed spatially temporally coincident field airborne...
Abstract Despite the importance of urban trees, their growth reaction to climate change and heat island effect has not yet been investigated with an international scope. While we are well informed about forest under recent conditions, it is unclear if this knowledge can be simply transferred environments. Based on tree ring analyses in ten metropolises worldwide, show that, general, trees have undergone accelerated since 1960s. In addition, tend grow more quickly than counterparts rural...
Abstract The self-thinning rule established by Reineke in 1933, N α d−1.605 (N, d = number of stems and quadratic mean diameter, respectively) assumes the same allometric relationship between size density for a wide spectrum species under conditions. We re-evaluate this based on 28 fully stocked pure stands common beech (Fagus sylvatica L.), Norway spruce (Picea abies [L.] Karst.), Scots pine (Pinus sylvestris oak (Quercus petraea [Mattuschka] Liebl.) Germany that date back to year 1870. OLS...
Current individual tree growth models rarely consider the mode of competition, which can be size-asymmetric when is limited by light or size-symmetric belowground resources are scarce. Even with same competition index, reactions may vary considerably due to a prevailing resource limitation, as dominant trees in stand benefit disproportionately more on light-limited sites. To scrutinize and model relationship between site conditions, 34 long-term experiments 120 plots dating back 1871 were...
Mixed-species stands are on the advance in Europe. They fulfil many functions better than monocultures. Recent papers show that mixed can have higher yields, but it remains open whether simply grow faster along same self-thinning lines as pure or maximum stand densities. We analyzed effect of species mixing density based triplets and at approximately density. Most considered mixtures include Norway spruce (Picea abies (L.) H. Karst.). (i) stands, is, average, 16.5% neighbouring (ii) with...
While sustainable forestry in Europe is characterized by the provision of a multitude forest ecosystem services, there exists no comprehensive study that scrutinizes their sensitivity to management on pan-European scale, so far. We compile scenario runs from regionally tailored growth models and Decision Support Systems (DSS) 20 case studies throughout analyze whether service depends intensity other co-variables, comprising regional affiliation, social environment, tree species composition....
This paper proposes a machine vision approach for plant classification without segmentation and its application in agriculture. Our system can discriminate crop weed plants growing commercial fields where grow close together handles overlap between plants. Automated / discrimination enables control strategies with specific treatment of weeds to save cost mitigate environmental impact. Instead segmenting the image into individual leaves or plants, we use Random Forest classifier estimate...
Forest stand growth dynamics in Central Europe have accelerated since 1870 due to a rise temperature, extended growing seasons, and other components of climate change. Based on wood samples from the oldest existing experimental plots Europe, we show that dominant tree species Norway spruce (Picea abies (L.) H.Karst.), Scots pine (Pinus sylvestris L.), European beech (Fagus sylvatica sessile oak (Quercus petraea (Mattuschka) Liebl.) exhibit significant decrease density more than 100 years....
Under predicted climate change, native silver fir (Abies alba) and European beech (Fagus sylvatica) are the most likely replacement species for Norway spruce (Picea abies) monocultures planted across large parts of continental Europe. Our current understanding adaptation potential fir-beech mixed forests to change is limited because long-term responses two environmental changes have not yet been comprehensively quantified. We compiled analysed tree-ring width (TRW) series from 2855 dominant,...
Abstract Past failures of monocultures, caused by wind-throw or insect damages, and ongoing climate change currently strongly stimulate research into mixed-species stands. So far, the focus has mainly been on combinations species with obvious complementary functional traits. However, for any generalization, a broad overview mixing reactions functionally different tree in proportions, patterns under site conditions is needed, including assemblages rather similar demands resources such as...
Climate change triggered many studies showing that trends and events of environmental conditions can reduce but also accelerate growth at the stand individual tree level. However, it is still rather unknown how climate modifies partitioning between trees in forest stands. Based on long-term girth-tape measurements mature monospecific mixed-species stands Norway spruce (Picea abies (L.) Karst.) European beech (Fagus sylvatica L.) we traced effect severe droughts 2003 2015 from down to Stand...
In this review, the unique features and facts of long-term experiments are presented. Long-term experimental plots provide information forest stand dynamics which cannot be derived from inventories or small temporary plots. Most comprise unthinned represent site specific maximum density as an unambiguous reference. By measuring remaining well removed stand, survey provides total production at a given site, is most relevant for examining relationship between conditions productivity on one...
Abstract Forests cover about one-third of Europe’s surface and their growth is essential for climate protection through carbon sequestration many other economic, environmental, sociocultural ecosystem services. However, reports on how change affects forest are contradictory, even same regions. We used 415 unique long-term experiments including 642 plots across Europe covering seven tree species surveys from 1878 to 2016, showed that average strongly accelerated since the earliest surveys....
Against the backdrop of global change, intensity, duration, and frequency droughts are projected to increase threaten forest ecosystems worldwide. Tree responses drought complex likely vary among species, characteristics, site conditions. Here, we examined response patterns three major temperate tree s. fir (Abies alba), E. beech (Fagus sylvatica), N. spruce (Picea abies), along an ecological gradient in South - Central East part Germany that included a total 37 sites with varying climatic...
During the summer of 2022, an acute drought once more afflicted central and southern Europe. This marked third episode (after 2015 2018) severe aridity in large parts Germany within last decade, leading to increased soil water depletion. Consequently, from July 2022 onward, European beech trees (Fagus sylvatica L.) exhibited early withering pronounced premature defoliation. Nevertheless, crown defoliation substantial variation among same forest stands, prompting questions regarding causal...
We present a method to acquire realistic, visually convincing 3D model of indoor office environments based on mobile robot that is equipped with laser range scanner and panoramic camera. The data the 2D scans are used solve SLAM problem extract walls. Textures for walls floor built from images calibrated Multiresolution blending hide seams in generated textures.