竹林资源遥感综合监测技术研究

本项目属于森林资源监测高新技术领域及现代森林资源经营与信息化管理范畴。本项目以毛竹、雷竹为例，围绕“竹林类专题信息提取、竹林地表参数反演、竹林碳储量定量估算、竹林碳汇时空演变及响应机制”等四个方面开展竹林资源遥感综合监测和应用示范研究。项目历时8年设计研发，持续获得3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包括浙江省杰出青年基金在内的3项省自然科学基金等资助。通过大量地面样地实测调查，综合应用地面信息、多源多时相卫星遥感数据和模型模拟等先进技术和手段，开展了一系列原创性研究，通过研究：(1)摸清了毛竹林冠层反射光谱特征、实现了基于多源遥感数据的竹林类型专题信息高精度提取 (2)发明或利用先进的辐射传输模型等方法，实现了竹林冠层郁闭度、叶面积指数、叶绿素等冠层参数以及胸径、树高等森林调查因子的遥感综合反演 (3)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，构建了竹林碳储量高精度遥感估算模型，并设计开发了相应的软件系统，实现了竹林碳储量快速精准监测 (4)探明了竹林碳汇时空动态特征及其对地表参数、土地利用变化等响应，分析我国竹林碳汇潜力，揭示了竹林碳储量时空格局及其形成机制。 发表论文31篇(其中SCI收录12篇) 授权发明专利2件 登记软件著作权3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。相关成果曾获浙江省科学技术奖一等奖等4项奖励。研究成果为适时、快速、精确监测竹林资源、科学评价竹林碳汇功能奠定了理论基础和技术支撑，并在浙江省安吉县、临安市等地推广应用，成效显著，前景十分广阔。

This project falls within the high-tech field of forest resource monitoring and the scope of modern forest resource management and informatization. Taking moso bamboo and Leizhu bamboo (Phyllostachys praecox) as examples, this project conducts comprehensive remote sensing monitoring and application demonstration research on bamboo forest resources around four core aspects: thematic information extraction of bamboo forests, retrieval of bamboo forest surface parameters, quantitative estimation of bamboo forest carbon storage, and spatiotemporal evolution and response mechanism of bamboo forest carbon sinks. Developed over 8 years of design and research, the project has been continuously funded by 3 projects from the National Natural Science Foundation of China (NSFC), 1 project under the State Forestry Administration's 948 Program, 1 Zhejiang Provincial Key Scientific and Technological Innovation Team Project, and 3 provincial natural science foundation projects including the Zhejiang Provincial Outstanding Youth Fund. Through a large number of field plot surveys and measurements, a series of original researches were carried out by comprehensively applying advanced technologies and methods such as ground observation data, multi-source and multi-temporal satellite remote sensing data, and model simulation. The key research outcomes include:
1) Clarified the reflectance spectral characteristics of moso bamboo forest canopy, and realized high-precision thematic information extraction of bamboo forest types based on multi-source remote sensing data;
2) Invented and utilized advanced radiative transfer models and other methods to achieve comprehensive remote sensing retrieval of canopy parameters such as bamboo forest canopy closure, leaf area index (LAI) and chlorophyll, as well as forest survey factors including diameter at breast height (DBH) and tree height;
3) Revealed the response characteristics of bamboo forest biomass carbon storage to the reflectance spectrum of remote sensing data, constructed a high-precision remote sensing estimation model for bamboo forest carbon storage, designed and developed the corresponding software system, and realized rapid and accurate monitoring of bamboo forest carbon storage;
4) Clarified the spatiotemporal dynamic characteristics of bamboo forest carbon sinks and their responses to surface parameters, land use changes and other factors, analyzed the potential of bamboo forest carbon sinks in China, and revealed the spatiotemporal pattern of bamboo forest carbon storage and its formation mechanism.

A total of 31 papers have been published, among which 12 are indexed by SCI; 2 invention patents have been authorized; 3 software copyrights have been registered; and 1 monograph titled *Remote Sensing Quantitative Estimation of Bamboo Forest Biomass Carbon Storage* has been published by Science Press. The relevant research achievements have won 4 awards including the First Prize of Zhejiang Provincial Science and Technology Award. The research results have laid a solid theoretical foundation and technical support for timely, rapid and accurate monitoring of bamboo forest resources and scientific evaluation of bamboo forest carbon sink functions, and have been promoted and applied in Anji County, Lin'an City and other regions of Zhejiang Province, with remarkable effects and broad application prospects.

搜集汇总

背景与挑战

背景概述

该数据集源自'竹林资源遥感综合监测技术研究'项目，专注于利用遥感技术对竹林资源进行综合监测，包括竹林类型信息提取、冠层参数反演、碳储量估算和碳汇时空分析。项目历时8年，结合地面实测和多源遥感数据，实现了高精度监测，并产出多项学术成果（如论文、专利和软件），已在浙江省等地推广应用，为竹林资源管理和碳汇评估提供技术支撑。数据集为完全公开的文本数据，涵盖2015年相关信息，适用于植物学和遥感监测研究。