Due to the emergence of problems such as global warming and the increase in the concentration of greenhouse gases in the atmosphere year by year, the "double carbon" action, especially carbon neutrality, has had a wide-ranging impact around the world. Carbon neutrality can be understood from two aspects: carbon emission (carbon source) and carbon fixation (carbon sink). Terrestrial ecosystems play an important role in the global carbon cycle. Accurately assessing carbon sinks and carbon source changes in terrestrial ecosystems is of great significance for studying carbon cycle processes, predicting climate change, and formulating reasonable policies. The CASA (Carnegie-Ames-Stanford Approach) model is a classic model for estimating the net primary productivity (NPP) of vegetation in terrestrial ecosystems.
1. Understand the principle of CASA and be able to apply the CASA model to simulate ecosystem NPP and carbon source/sink;
2. Skilled application of ArcGIS, ENVI and other software for CASA data preparation;
3. Master the CASA simulation process under land use change and future climate change;
4. Combined with examples, skillfully apply CASA to carry out NPP spatio-temporal dynamic simulation;
5. Use the method of answering questions to answer relevant technical problems encountered in actual work
Ms. Liu: A senior expert from key universities in Beijing. He has long been engaged in the simulation and prediction of carbon emissions by remote sensing of the ecological environment and the research work of water cycle, carbon cycle and nitrogen cycle in the watershed system. He has a senior technical background and professional background.
The first lecture introduces the CASA model (explanation + case practice)
1.1 Introduction to carbon cycle models
1.2 Principle of CASA model
1.3 CASA download and installation
1.4 CASA Notes
Lecture 2 Preliminary Operation of CASA
2.1 ENVI interface introduction
2.2 ENVI data and format
2.3 CASA simulation based on ENVI
2.4 Analysis of CASA results
Lecture 3 CASA Data Preparation (1)
3.1 Remote Sensing and GIS Technology in Data Preparation
3.2 ArcGIS software interface
3.3 Coordinate system and coordinate transformation
3.4 Processing of regional data
3.5 CASA Network Data Resources and Download
3.6 Processing of CASA network data
Lecture 4 CASA Data Preparation (2)
4.1 Introduction to Remote Sensing Technology
4.2 Remote sensing image acquisition and display
4.3 Remote sensing image processing
4.4 Remote sensing interpretation of land use
Lecture 5 CASA Data Preparation (3)
5.1 Introduction to Quantitative Remote Sensing
5.2 Radiometric calibration of remote sensing images
5.3 FLASSH Atmospheric Correction
5.4 NDVI Calculation
Lecture 6 CASA Data Preparation (4)
6.1 Space display of meteorological point data
6.2 Download and processing of weather station data
6.3 Geostatistical spatial interpolation of meteorological data
6.4 Design of sampling points based on fishnet tool
6.5 CASA static parameter setting
Lecture 7 CASA Simulation under Land Use Change
7.1 Land use change and carbon emissions
7.2 Analysis of land use change based on transfer matrix
7.3 Scenario analysis of land use change
7.4 Future land use forecast
7.5 CASA simulation under land use change
Lecture 8 CASA Simulation under Climate Change
8.1 Introduction to CMIP6 data
8.2 CMIP6 data download
8.3 CMIP6 data display
8.4 Convert CMIP6 data to CASA meteorological data
8.5 CASA simulation under future climate change
Lecture 9 Simulation of carbon source and carbon sink based on CASA model
9.1 Introduction to carbon source and carbon sink analysis
9.2 Calculation of Respiration Consumption Rh of Heterotrophs
9.3 Calculation of Net Ecosystem Productivity NEP
9.4 Analysis of carbon sources and carbon sinks
Lecture 10 CASA Case Analysis
Spatial-temporal dynamic simulation of carbon source/sink in ecosystem based on CASA
Original article: Ecosystem NPP and carbon source, carbon sink simulation, land use change, future climate change, spatial dynamic simulation practice technology application