Remote Sensing Technology Carbon Monitoring

Climate change, characterized by global warming, has become a global environmental problem and poses a serious challenge to global sustainable development. In 2015, many countries clearly stated in the "Paris Agreement" that the parties should achieve the goals of carbon peaking and carbon neutrality as soon as possible. The 49th IPCC Plenary Session in 2019 clearly added a satellite remote sensing-based emission inventory verification method. With the goal of carbon neutrality and the realistic pressure of global carbon inventory, carbon monitoring based on remote sensing technology has become a hot spot in the field.

Satellite remote sensing has the advantages of objective, continuous, stable, large-scale, and repeated observations, and has become an indispensable technical means for monitoring global carbon inventory. Satellite remote sensing is also becoming a new generation, internationally recognized global carbon verification method. The purpose of this course is to sort out the actual needs of satellite remote sensing for carbon neutralization and carbon peaking, and systematically summarize the technical development of remote sensing technology in the fields of ecosystem carbon storage, carbon budget, carbon cycle, and anthropogenic emission inversion. From a practical point of view, effectively solve the carbon emission monitoring and simulation problems of remote sensing technology in the fields of ecology, energy, and atmosphere

Topic 1: Research direction of remote sensing technology from the perspective of dual carbon

• Dual Carbon Background and Realistic Demands of Remote Sensing

• Status quo of global carbon pool, carbon budget and carbon cycle

• Remote sensing technology in carbon storage, carbon budget and carbon cycle

• Integrated integration technology of ENVI and ArcGIS software

Topic 2: Remote Sensing Estimation of Ecosystem Carbon Stock—Taking Forest Carbon Stock as an Example

• Explanation of the methods and principles of carbon storage (carbon pool) estimation

• Remote Sensing Data Resources and Downloads

• Processing of Remote Sensing Data and Extraction of Characteristic Parameters

• Importance and Sensitivity Analysis of Characteristic Parameters

• Construction of Remote Sensing Regression Model and Estimation of Carbon Storage

Topic 3: Remote Sensing Simulation of Ecosystem Carbon Budget—Taking the Beijing-Tianjin-Hebei Region as an Example

• Basic concepts of carbon source/sink (carbon balance/carbon budget) remote sensing indicators (NEP, NPP, etc.)

• Explanation of the method and principle of carbon budget estimation simulation

• Acquisition and processing of remote sensing and auxiliary data

• Extraction of Spatio-temporal Distribution of NEP Based on CASA Model

Topic 4: Simulation of Spatial Pattern of Regional Energy Consumption and Carbon Emissions—Based on Nighttime Lighting Data

• Explanation of the principles and methods of energy consumption and carbon emissions verification

• Development status and acquisition of night light data

• Acquisition and processing of auxiliary data

• Processing of night light data

• Construction and correction of carbon emission model based on night light data

Topic 5: Remote Sensing Monitoring of Carbon Emission Effects of Land Use Change—Taking Urban Expansion as an Example

• Principles for Estimating Carbon Emissions from Land Use Change

• Acquisition of large-scale land use change data

• Production of high-precision land use data

• Production of Interannual Land Use Change Matrix

• Multi-scenario land use change simulation based on FLUS model

• Monitoring and Mapping the Carbon Emission Effects of Urban Expansion

• Analysis of land use carbon storage based on InVEST model

Topic 6: Remote Sensing Application of Farmland Ecosystem Carbon Cycle Model - Farmland and Soil Carbon Accounting

• Principles and advantages and disadvantages of mainstream ecological process models

• Download and installation of DNDC model

• Acquisition of drive data

• Model Drive and Parameter Tuning

• Analysis of DNDC carbon cycle simulation results

• Farmland Soil Organic Carbon Accounting

Topic 7: Remote Sensing Application of Carbon Cycle Model in Terrestrial Ecosystems - Watershed Ecosystem as an Example

• Introduction to Watershed SWAT Model

• Introduction to SWAT-DAYCENT Model

• Acquisition of drive data

• Basin-scale carbon cycle simulation

• Watershed Soil Organic Carbon Accounting

Topic 8: Analysis of Atmospheric Greenhouse Gas Satellite Retrieval Data—Taking Methane Satellite Data as an Example

• Development of Greenhouse Gas Monitoring Technology

• Available greenhouse gas satellite retrieval data acquisition

• Methane satellite retrieval data reading

• Analysis of Methane Satellite Inversion Data