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ArticleMapping street trees using google street view and artificial intelligence.
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Urban forests provide ecosystem services to the increasingly urban society, contributing to human wellbeing in cities. While individual-tree characterization and identification are crucial for an efficient and accurate evaluation of urban biodiversity and ecosystem services, the available information on urban trees is rather limited worldwide. Currently, forest inventories require a large amount of human and economic resources, which limit their applicability. Some open data sources such as Google Street View (GSV) offer ground-level images in most urban areas around the world, which, coupled with computer vision techniques and artificial intelligence, provide a promising alternative to fieldwork to conduct urban forest inventories with the aim of characterizing tree diversity and structure and related ecosystem services. Our research aimed at using open data sources such as GSV to map and inventory street trees through an artificial intelligence engine. We developed an automatic transfer learning-based method that allows us to identify urban trees in the images, and the use of remote sensing techniques for geopositioning validation to properly map them with high accuracy (>75%). This method was validated with GSV and Google Maps images as well as with the ground-sourced forest inventory in an urban area (city of Lleida, Spain). This research highlights the potential of artificial intelligence in forest science to generate accurate and efficient mapping of trees, particularly in urban forest ecosystems. Keywords: Innovation, Adaptive and integrated management, Human health and well-being, Monitoring and data collection, Landscape management ID: 3482699 -
ArticleSMART Global Ecosystems an academic-industrial partnership to integrate artificial intelligence in forestry
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.SMART Global Ecosystems is an alliance between the University of Valladolid and the technological company SNGULAR to promote research and training in the area of artificial intelligence and sustainable environmental data science through information and communication technologies (ICTs) and big data analysis. ICTs, together with massive data analysis, open a world of opportunities to implement training, research, and social awareness actions to develop data science and artificial intelligence methods and products that facilitate sustainable ecosystem management. Through the development of ecosystem monitoring, analysis, and management methods based on data science and artificial intelligence, the aim is to ensure Sustainability, Mitigation, Adaptation, Resilience to Global Change, and Trade-offs of Ecosystem Services (SMART) globally. Promoters, professors and researchers at the University of Valladolid (campus at Palencia) and the data and artificial intelligence team from SNGULAR, have been collaborating for twenty years in the development of programs and algorithms for ecosystem management. Through different collaborative projects developed with students from master DATAFOREST (University of Valladolid) and from Vietnam National University-University of Science (VNU University of Science), we have generated a set of lessons learned on the detection of singular trees by using ground and remote sensing data and artificial intelligence. Keywords: Innovation, Partnerships, Monitoring and data collection, Research, Learning by doing. ID: 3623999 -
ArticleClimate impact on tree growth of selected tree species in Poland
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Climate change is one of the greatest challenges facing the modern world. It has a profound impact on the natural and social environment. Policy makers and natural resource managers need information on the direction and potential scope of climate change in order to better anticipate its potential effects and implement measures to adapt to climate change. Forestry is an area where changes are already visible, and adaptation measures aimed at ensuring the sustainability of forest ecosystems, due to the long-life cycle of trees, should be initiated ahead of time. The study attempts to evaluate trends in changes in radial increments of selected tree species in the era of changing climatic conditions and their sensitivity to thermal and pluvial conditions. Several native tree species, typical for Polish forests, and an introduced species -Douglas fir (Pseudotsuga menziesii) were selected for analysis. The empirical material included incremental data of trees representing from a dozen to several dozen sites of individual species, located in various parts of Poland, and meteorological data from stations located close to the research plots. For each site, a residual chronology of annual increments was developed, which was the basis for the research on the climate-growth relationship. It was investigated which meteorological factors have a positive and negative impact on the size of annual increments of trees and it was determined how this relationship changes over time. It was shown that the stability of the climate signal in tree incremental sequences was maintained until the beginning of the 1980s. Later, an increase in the strength of the correlation between the standardized measures of radial growth of trees and the average air temperature or the amount of precipitation in some months was observed, which indicates a greater sensitivity of trees to the current ranges of thermal and pluvial conditions. Keywords: climate change, dendroclimatology, radial increments, climate-growth relationship ID: 3486956
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