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Application and case analysis of CASA model and CENTURY model
2022-08-02 08:21:00 【WangYan2022】
As an important part of terrestrial ecosystems, vegetation plays a key role in the maintenance of ecological environment functions.Net primary productivity of vegetation(Net Primary Productivity, NPP)It refers to the total amount of organic matter produced by photosynthesis in a unit area of green vegetation in a unit time minus the remainder of autotrophic respiration.植被NPPIt is one of the important parameters to characterize the function and sustainability of terrestrial ecosystems,It not only directly reflects the production capacity and quality of the ecosystem under the natural environment,It also determines the carbon source of the ecosystem/important factor in sinking.目前,Based on multi-source remote sensing data to carry out large-scale、Long time series vegetationNPPEstimating and applying GIS techniques for comprehensive spatial pattern and dynamic analysis has become quantitativeNPP的重要手段,对于我国实现2060“碳中和”目标具有重要意义.
考虑到CASA(Carnegie-Ames-Stanford Approach)The model estimates the net primary productivity of vegetation in terrestrial ecosystemsNPP的经典模型,掌握经典NPPestimating means,采用“理论讲解+案例实战+动手实操+讨论互动”相结合的方式,抽丝剥茧、深入浅出地分析CASAExperience and programming skills required for model application,In order to solve scientific problems related to carbon cycle research in terrestrial ecosystems.
【专家】:The keynote speakers are senior experts from the Chinese Academy of Sciences,He has been engaged in the research and teaching of vegetation parameter remote sensing inversion and application for a long time,Has rich experience in scientific research and on-machine operation,主要研究方向:Quantitative Remote Sensing、植被参数遥感反演与数据同化、Remote sensing of resources and environment.
专题(一)CASADetailed analysis of the model principle
CASAModel calculation formula analysis:
专题(二)CASAModel-related remote sensing data explanation
1.NDVI、FPAR、Radiation remote sensing products(MODIS、GLASS…)获取途径
2.Data features and caveats
3.Data quality control methods
专题(三)MODIS NDVIRemote sensing product preprocessing and code implementation
1.基于MODIS TOOL的HDF影像拼接/Subsection interception/格式转换
2.基于MODIS TOOLAn automatic batch processing program for long-term massive remote sensing data
3.基于Matlablong time periodMODISOnline fast batch extraction of data
专题(四)MODIS FAPARPreprocessing of remote sensing products
1.处理方法
2.Automatic batch processing technology
3.基于MATLABThe code implements the fast batch extraction method (For specific procedures, see Topic 3)
专题(五)MODIS NDVI、FPARTime series reconstruction of remote sensing product data
1.基于MATLABThe remote sensing product value read
2.基于MATLABRead and interpret the product quality control information
3.Remote sensing data outliers/离群值检测方法
4.Time series remote sensing data reconstruction
专题(六)Meteorological data preprocessing and spatial interpolation
1.辐射
2.温度
3.降水…
4.空间插值(克里金…)
专题(七)CASA模型代码实现
1.Matlab平台及应用
2.Based on the above-mentioned remote sensing and meteorological dataCASA模型(Explanation and practice)
3.Regional mapping
CENTURY模型,主要基于过程的陆地生态系统生物地球化学循环模型.主要用于模拟不同土壤-植被系统间C、N、P和S的长期动态.根据土壤有机质的分解速率,CENTURYThe model will be soil total organic carbon(TOC)分成了三个碳库,即活性、慢性和惰性有机碳库.
through detailed explanation,熟练掌握CENTURY的基本操作,通过完整的案例分析,Deepen understanding and application in practical projects.由于“碳中和”备受关注,案例的选择上,重点在内容上Focus on carbon,It is more in line with the needs of everyone's research hotspots.
/// CENTURY模型 实 践 技 术 应 用 与 案 例 分 析
【专家】:刘老师(副教授),He has been engaged in the dynamic analysis and simulation of agricultural and forestry carbon for a long time, 对CENTURYThe model has rich application experience.
涉及编程语言:VB、R语言,提供代码(有无经验均可)
第1章 CENTURY模型介绍与安装 | 1.1 关系模型的构建与应用 1.2 CENTURY模型原理 1.3 CENTURY模型的结构 1.4 模型的安装及注意事项 | 1.1 Explain the characteristics of the relational model、优势、构建过程、以及应用时的注意事项; 1.2 讲解CENTURY模型的开发及原理; 1.3 详细讲解CENTURY模型各个模块的结构,并根据结构解释内涵. 1.4 下载并安装CENTURY模型软件,进入安装目录; |
第2章 CENTURY模型文件系统及运行 | 2.1 模型的文件系统 2.2 模型的运行 2.3 实践演练 | 2.1 详细讲解CENTURY模型安装目录下的文件系统; 2.2 进入模型操作界面,熟悉操作命令,运行模型; 2.3 设定特定生态系统的土地变化历史,使用CENTURY模型进行模拟实践. |
第3章 CENTURY模型的参数系统 | 3.1 输入数据 3.2 参数设定 3.3 输出数据 3.4 情景演练 | 3.1 对模型的输入数据进行详细讲解,掌握如何按照要求的格式准备输入数据; 3.2 Explain how to base the land use and management history of the ecosystem to be modeled,设定参数,进行模拟; 3.3 Explain the output data of the model in detail,并掌握输出结果提取方法 3.4 依据不同土地利用情景,调整参数,进行模拟实践. |
第4章CENTURY模型应用实例 | 4.1 Switchgrass生物量的模拟 4.2 柠条灌木林生产力的模拟 4.3 CENTURY模型应用实践——以柠条灌木林生产力模拟为例 | 4.1 Explain the relevant literatureSwitchgrass生物量的模拟过程; 4.2 Explain the simulation process of Caragana productivity in the literature; 4.3 熟悉CENTURY模型使用的全过程,包括数据整理、模型校正验证、模型预测:通过使用柠条生物量的数据,通过参数校正和验证,获得适合模拟柠条生产力的参数系统,并对柠条的生长进行预测. |
更多
●【教程】Meta分析在生态环境领域里的应用
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●【教程】近地面无人机植被Quantitative Remote Sensing与生理参数反演实践技术应用
●【教程】CASA(Carnegie-Ames-Stanford Approach)模型原理及实践应用
●【教程】CENTURY模型实践技术应用与案例分析
●【教程】Biome-BGC生态系统模型建模方法与实践技术应用
●【教程】无人机遥感在农林信息提取中的实现方法与GIS融合应用
●【教程】InVEST模型在生态系统服务供需、碳中和等领域中的应用及论文写作技能
●【教程】MAXENT模型生物多样性生境模拟与保护优先区甄选、保护区布局优化评估及论文写作技巧
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