竹林生物量碳储量遥感定量估算技术研究

本项目属于林业应对气候变化领域，是森林固碳减排经营基础理论研究及林业碳汇监测计量关键技术范畴。全球气候变化受到国际社会高度关注，增加森林碳汇已成为我国应对气候变化的战略选择，如何科学评测森林碳汇功能成为急需解决的重大科学问题。竹林是我国南方重要的森林资源类型，具有生长快速，一旦成林即可持续利用的特点，蕴藏着巨大的碳汇潜力，在应对气候变化中具有独特的作用，然而竹林资源监测、碳汇估算技术仍然采样传统方法，成为科学认知与快速评价竹林固碳功能的瓶颈。为此，本项目紧紧围绕“竹林遥感专题信息提取、竹林生物量碳储量遥感定量估算模型构建、竹林碳储量时空动态”三条主线，历时5年设计开发和大量地面样地实测调查，持续获得2项国家自然科学基金、1项国家林业局948项目、1项浙江省重点科技创新团队项目和1项省自然科学基金法的资助，综合应用地面调查、GPS精准定位、卫星遥感和模型模拟等先进技术和手段，开展了一系列原创性研究：(1)摸清了毛竹林冠层反射光谱特征、建立了竹林遥感信息提取方法，从光谱特征模型、人工神经网络以及混合像元分解三个方面实现了竹林遥感专题信息的提取 (2)揭示了竹林生物量碳储量对遥感数据反射光谱的响应特征，研建开发了竹林生物量碳储量遥感估测系列模型和动态监测方法，实现了竹林生物量碳储量高精度遥感估算。创新提出了模拟真实场景的端元提取技术，定量反演毛竹林冠层郁闭度和叶面积指数，为揭示毛竹林高效固碳响应遥感机理奠定了基础 (3)研究了竹林碳储量时空动态及其土地利用变化之间的关系，实现反演历史和追溯动态，揭示了竹林碳储量时空格局及其形成机制，为竹林固碳经营及进一步提升竹林碳汇功能奠定了理论依据。项目发表论文18篇(其中SCI 8篇，EI 1篇) 申请发明专利2件(已授权1件) 登记软件著作权4件 在科学出版社出版《竹林生物量碳储量遥感定量估算》专著1部。项目为适时、快速、精确监测竹林生物量碳储量、科学评价竹林碳汇功能奠定了理论基础和技术支撑。通过研究和实施，项目团队还获得我国首批《林业碳汇计量与监测资格证书》和浙江省“林业碳汇与计量”重点科技创新团队。

This project falls within the scope of climate change mitigation in forestry, encompassing basic theoretical research on forest carbon sequestration and emission reduction management and key technologies for forestry carbon sink monitoring and measurement. Global climate change has attracted widespread attention from the international community, and increasing forest carbon sinks has become a strategic choice for China to address climate change. How to scientifically evaluate forest carbon sink functions has become a major scientific issue that urgently requires resolution. Bamboo forests represent an important forest resource type in southern China, featuring rapid growth and sustainable utilization once fully established. They possess enormous carbon sink potential and exert a unique role in climate change mitigation. However, traditional methods remain prevalent in bamboo forest resource monitoring and carbon sink estimation, creating a bottleneck for scientific cognition and rapid evaluation of bamboo forest carbon sequestration functions. To tackle this challenge, this project centers on three core tasks: extraction of thematic remote sensing information for bamboo forests, development of remote sensing-based quantitative estimation models for bamboo forest biomass carbon storage, and analysis of spatio-temporal dynamics of bamboo forest carbon storage. Over a five-year period, through design and development and extensive ground plot field surveys, the project has secured continuous funding from 2 projects funded by the National Natural Science Foundation of China, 1 948 Project of the State Forestry Administration, 1 Key Scientific and Technological Innovation Team Project of Zhejiang Province, and 1 Provincial Natural Science Foundation Project. By comprehensively applying advanced technologies and approaches including ground surveys, precise GPS positioning, satellite remote sensing, and model simulation, the project has carried out a series of original research works: 1. Clarified the reflectance spectral characteristics of moso bamboo (Phyllostachys edulis) canopy, established methods for extracting bamboo forest remote sensing information, and realized the extraction of thematic remote sensing information for bamboo forests from three dimensions: spectral feature models, artificial neural networks, and mixed pixel decomposition. 2. Revealed the response characteristics of bamboo forest biomass carbon storage to reflectance spectra of remote sensing data, developed a series of remote sensing estimation models and dynamic monitoring methods for bamboo forest biomass carbon storage, and achieved high-precision remote sensing estimation of bamboo forest biomass carbon storage. The project innovatively proposed an endmember extraction technology that simulates real-world scenarios, and quantitatively retrieved the canopy closure and leaf area index of moso bamboo forests, laying a foundational basis for uncovering the remote sensing response mechanism of efficient carbon sequestration in moso bamboo forests. 3. Investigated the relationship between spatio-temporal dynamics of bamboo forest carbon storage and land use changes, realized historical inversion and dynamic tracing, and elucidated the spatio-temporal pattern of bamboo forest carbon storage and its formation mechanism, providing a theoretical foundation for bamboo forest carbon sequestration management and further improvement of bamboo forest carbon sink functions. The project has yielded the following achievements: 18 academic papers published (including 8 SCI-indexed papers and 1 EI-indexed paper), 2 invention patent applications (1 has been authorized), 4 software copyright registrations, and 1 monograph titled *Remote Sensing Quantitative Estimation of Bamboo Forest Biomass Carbon Storage* published by Science Press. This project has established a solid theoretical foundation and technical support for timely, rapid, and accurate monitoring of bamboo forest biomass carbon storage and scientific evaluation of bamboo forest carbon sink functions. Through the implementation of this research, the project team also obtained China's first batch of *Forestry Carbon Sink Measurement and Monitoring Qualification Certificates* and was awarded the "Forestry Carbon Sink and Measurement" Key Scientific and Technological Innovation Team by Zhejiang Province.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于竹林生物量碳储量的遥感定量估算技术，通过多源数据融合和模型构建，实现了竹林碳储量的高精度估算和动态监测，为竹林固碳经营和碳汇功能提升提供了理论和技术支持。