10年间，我们走遍7.6万多个样方，采集了400多太字节的数据。什么概念？如果一张电子照片大小按5 兆字节算，这相当于超8000万张的体量。干好如此庞大的工程，是一个不断迎接挑战、战胜挑战的过 程。比如，森林地表起伏，怎样测量不在同一水平面上的树高？我们研发仿地飞行算法，可令无人机飞 行高度随地形起伏调整。做完"CT"，如何分析海量的森林"片子"？我们探索智能单木分割算法，让系 统能自动把树木从复杂林冠中"揪"出来，形成树密度地图。逢山开路，遇水架桥。科研从没有万事俱备 的理想状态，成果总是在行动中创造条件"闯"出来的。 做科研，要耐得住寂寞，静得下心气。我的办公室里，珍藏着一本2007年出版的《中华人民共和国植被 图》。这本细化到几百个群系、精确到每个树种的地图集，是先辈们翻山越岭，日复一日徒步林间，拿 尺子、铅笔测绘出来的。如今，技术在进步，工具在迭代，但脚踏实地的科研本色从未改变。数树过程 中，不是没有质疑，甚至不少人认为这是不可能完成的任务。做科研就要有一股子闯劲冲劲，"一楼"或 许满是杂声，但越到"高楼层"干扰的声音就会越小。 最让我难忘的，是在西藏找到亚洲第一高树的场景。当时，大家横渡湍急的易贡藏 ...

中国有多少棵树？过去，这个问题没人说得清。现在，答案就在今年发布的中国第一张"树密度地 图"中——截至2020年，全国约有1426亿棵树，相当于14亿多人每人"拥有"100棵树。这些数据，是我和 团队花10年时间，一起"数"出来的。 最让我难忘的，是在西藏找到亚洲第一高树的场景。当时，大家横渡湍急的易贡藏布江后，来到了 那棵102.3米的巨柏下方。相比于欣喜和惊叹，自己更多感受到的是一股油然而生的震撼与敬畏。它不 只是树，更是活着的历史，是大自然给予我们的一种深刻启示。林木之间，自有力量。未来，我会继续 奋斗在野外测绘一线，不断完善我国自然生态的数字化"账本"，努力为守护好这片绿色根基作出更多贡 献。（郭庆华） 为什么要数清中国的树？始于现实的迫切需要。我国是人工林面积最大的国家，但过去对森林资源 的统计更多停留在蓄积量等宏观层面。新时代以来，随着绿色发展成共识、"双碳"目标提出，我们对森 林的认识不能再止于"大概其"的轮廓，而需要一本更精准的"绿色账本"，算清单木级碳储量、生物多样 性支撑能力等。绿化需宜林则林、宜灌则灌、宜草则草，有准确的数据才会有科学的决策，知道哪里该 种树、种什么树、种多少树。比如，东 ...

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]

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].

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]