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1426亿棵!我们为什么要在中国“数”树?
Ren Min Ri Bao· 2025-11-17 05:25
Core Insights - The first "Tree Density Map" of China reveals that as of 2020, there are approximately 142.6 billion trees in the country, equating to about 100 trees per person for the 1.4 billion population [1] - The initiative to quantify trees stems from the urgent need for precise data to support green development and carbon neutrality goals, moving beyond macro-level statistics to a detailed understanding of forest resources [1][2] - Advanced technologies, particularly LiDAR, have been pivotal in accurately measuring tree height, shape, and location, enabling efficient data collection across vast areas [2][3] Group 1 - The project involved extensive fieldwork, covering over 76,000 sample plots and collecting more than 400 terabytes of data, equivalent to over 80 million electronic photos [3] - The development of algorithms for drone flight and data analysis has allowed for the creation of a comprehensive tree density map, overcoming challenges posed by varied terrain and complex forest canopies [3] - The commitment to rigorous scientific research remains unchanged despite technological advancements, emphasizing the importance of foundational fieldwork [3][4] Group 2 - The discovery of Asia's tallest tree in Tibet highlights the significance of trees as living history and their role in understanding natural ecosystems [4] - The ongoing efforts aim to enhance the digital "account book" of China's natural ecology, contributing to the preservation of the country's green foundation [4]
为中国1426亿棵树建“绿色账本”
Ren Min Ri Bao· 2025-11-17 01:35
Core Insights - The first "Tree Density Map" of China reveals that as of 2020, there are approximately 142.6 billion trees in the country, equating to about 100 trees per person for the 1.4 billion population [1] - The initiative to quantify trees stems from the urgent need for precise data to support green development and carbon neutrality goals, moving beyond macro-level statistics to a detailed understanding of forest resources [1][2] - Advanced technologies, particularly LiDAR, have been pivotal in accurately measuring tree height, shape, and location, enabling efficient data collection across vast areas [2][3] Group 1 - The project involved extensive fieldwork, covering over 76,000 sample plots and collecting more than 400 terabytes of data, equivalent to over 80 million electronic photos [3] - The research team developed innovative algorithms to address challenges in measuring tree heights on uneven terrain and to analyze large datasets effectively [3] - The commitment to rigorous scientific research remains unchanged despite technological advancements, emphasizing the importance of perseverance and dedication in the field [3][4] Group 2 - The discovery of Asia's tallest tree, a 102.3-meter giant cypress in Tibet, highlights the significance of trees as living history and their role in nature [4] - The ongoing efforts aim to enhance the digital "account book" of China's natural ecology, contributing to the preservation of the country's green foundation [4]
10年,他“数”遍神州树
Ren Min Ri Bao· 2025-08-25 23:04
Core Insights - The article discusses the groundbreaking work of a research team led by Guo Qinghua at Peking University, which has developed China's first "Tree Density Map" that estimates the number of trees in the country, revealing approximately 142.6 billion trees as of 2020 [4][5][6] Group 1: Tree Density Map - The "Tree Density Map" shows a tree density of about 689 trees per hectare, with an average of 100 trees per person in China [4] - The map indicates that the southwestern region has the highest number of trees, approximately 36 billion, while the Yangtze River basin leads with about 49.6 billion trees [5][6] Group 2: Research Methodology - The research team utilized drones equipped with LiDAR sensors to scan forests, employing AI algorithms to analyze data and satellite remote sensing to create a comprehensive forest panorama [6][10] - Over a decade, the team collected data from over 70,000 sample plots, resulting in more than 400 terabytes of data, equivalent to over 80 million photos [6][7] Group 3: Technological Advancements - The team has developed an integrated remote sensing platform that includes various LiDAR systems, enabling high-precision data collection even in challenging terrains [10] - The use of LiDAR technology allows for detailed three-dimensional measurements of trees, overcoming limitations of traditional manual measurement methods [9][10] Group 4: Future Research and Conservation - The ongoing research aims to understand the optimal types and quantities of trees to plant in different regions, aligning with China's "dual carbon" goals [8] - The team has also discovered exceptionally tall trees, including a 102.3-meter high Tibetan cypress, emphasizing the importance of continued exploration and conservation efforts [12][13]
十年“数”遍神州树,“拼”出森林全景图(自然之子)
Ren Min Ri Bao· 2025-08-24 22:40
Core Viewpoint - The article discusses the groundbreaking work of a research team led by Guo Qinghua at Peking University, which has developed China's first "Tree Density Map" that estimates the number of trees in the country, revealing significant insights into forest resources and distribution [3][5]. Group 1: Tree Density Map - The "Tree Density Map" indicates that as of 2020, China has approximately 142.6 billion trees, with an average tree density of about 689 trees per hectare, equating to roughly 100 trees per person [3]. - The map shows that the southwestern region has the highest number of trees, approximately 36 billion, while the Yangtze River basin leads with about 49.6 billion trees [3][4]. Group 2: Research Methodology - The research team utilized drones equipped with LiDAR sensors to scan forests, employing AI algorithms to analyze data and satellite remote sensing to create a comprehensive forest panorama [4][6]. - Over a decade, the team collected data from over 70,000 sample plots, resulting in more than 400 terabytes of data, equivalent to over 80 million photos [4][5]. Group 3: Technological Advancements - The use of LiDAR technology has enabled the team to gather detailed three-dimensional information about trees, including height, diameter, and crown size, which traditional methods could not efficiently capture [6][7]. - The team has developed an integrated remote sensing platform that includes various laser radar systems, enhancing data collection capabilities in challenging terrains [7]. Group 4: Future Research and Conservation - The ongoing research aims to understand the optimal types and quantities of trees to plant in various regions, aligning with China's "dual carbon" goals for better ecological benefits [5][9]. - The discovery of exceptionally tall trees, such as a 102.3-meter high Tibetan cypress, highlights the importance of continued exploration and the need to foster a greater appreciation for nature [9][10].
给森林“照CT”,北大郭庆华团队绘制全国首张“树密度地图”
Xin Jing Bao· 2025-05-15 22:41
Core Insights - The article discusses the groundbreaking research led by Professor Guo Qinghua and his team, which resulted in the creation of China's first "tree density map," revealing that there are approximately 142.6 billion trees in China as of 2020, with an average tree density of about 689 trees per hectare, equating to roughly 100 trees per person in China [2][4][12] Group 1: Tree Density Mapping - The tree density map was developed over a decade using advanced technologies such as drones, laser radar, and AI algorithms to accurately estimate tree numbers across 9.6 million square kilometers of land [5][6] - The map provides detailed information on tree distribution, with the Yangtze River basin having about 49.6 billion trees, and provinces like Sichuan, Heilongjiang, Yunnan, and Guangxi collectively accounting for 32% of the total tree count [4][6] Group 2: Technological Innovations - The research utilized laser radar technology to create high-resolution 3D point cloud data, allowing for precise measurements of tree height, crown size, and other structural parameters [8][9] - The team faced challenges such as weather conditions affecting measurement accuracy and the difficulty of identifying lower canopy trees due to upper canopy obstruction, which they addressed through advanced data processing techniques [6][9] Group 3: Ecological and Cultural Significance - The existence of giant trees has ecological importance and is intertwined with local cultural beliefs, as seen in regions where communities revere these trees as sacred [10] - The research aims to balance modern development with traditional cultural preservation, emphasizing the need for sustainable practices in ecological protection [10][13] Group 4: Future Research and Goals - The team is also involved in creating a new generation of vegetation maps to reflect significant changes in vegetation types over the past 40 years, highlighting the need for updated ecological data [11][12] - The research supports China's "dual carbon" goals by providing a more accurate "green ledger" that includes not only forest area but also carbon storage and biodiversity metrics [13]