Based on ArcGIS, ENVI, InVEST, FRAGSTATS and other multi-technology integration and upgrading technology

Spatial Data Acquisition and Mapping

1.1 Software installation and application explanation

1.2 Introduction to Spatial Data

1.3 Massive space data download

1.4 Quick start of ArcGIS software

1.5 Geodatabase geographic database

ArcGIS Thematic Map Making

2.1 Specifications for making thematic maps

2.2 Preparation and processing of spatial data

2.3 Visualization of Spatial Data: Map Symbols and Annotations

2.4 Schematic drawing of the research area

2.5 Thematic map drawing and effect improvement

2.6 Drawing of spatial base map

​Spatial data collection and processing

3.1 Map georeferencing and digitization

3.2 Topological editing of spatial data

3.3 Input and edit attribute data

3.4 Projection transformation: Gauss Kruger projection,

Albers projection, UTM projection

3.5 Geographic transformation: BJ54, XIAN80, WGS84 and CGCS2000

3.6 Spatial analysis of vector data (spatial overlay analysis, buffer analysis)

​Remote sensing data processing and application

4.1 Acquisition of remote sensing data

4.2 ENVI software remote sensing image processing

4.3 ENVI software land use interpretation

4.4 Inversion of vegetation coverage by ENVI software

4.5 Data download and application of NDVI and other remote sensing products

DEM data processing and application

5.1 Acquisition and processing of DEM data

5.2 Surface Analysis Based on DEM: Elevation, Slope, Aspect, Contour, Hillshade

5.3 Hydrological analysis based on DEM: river network, basin, catchment area, slope

5.4 Inundation analysis based on DEM data

5.5 Calculation of reservoir capacity based on DEM data

Sampling data processing and application

6.1 Regional sampling data design: vector fishnet construction

6.2 Design of channel sampling data: division of channel sections

6.3 Excel point data space display

6.4 Spatial interpolation analysis: use of inverse distance weighting method, kriging method, and geostatistical tools

6.5 Extraction and analysis of interpolation results

6.6 Statistical analysis of interpolation results

Land use treatment and application

7.1 Acquisition and processing of land use data

7.2 Classification and extraction of land use: reclassification, raster to vector, fusion processing

7.3 Analysis of Land Use Change - Migration Matrix

7.4 Analysis of human activity intensity based on land use

7.5 Evaluation of urban land use suitability

​Land use landscape pattern analysis

8.1 Basic operation of Fragstats

8.2 Fragstats space partition calculation

8.3 Fragstats spatial result display

8.4 Land use prediction based on FLUS model

8.5 Landscape pattern under land use prediction

​Soil data processing and application

9.1 Soil data acquisition or processing

9.2 Soil nutrient survey and soil testing and fertilization

9.3 "Double evaluation" technology: evaluation of agricultural land resources

9.4 Simulation and analysis of soil erosion based on InVEST model

9.5 Soil erosion risk assessment

Meteorological data processing and application

10.1 Display and processing of meteorological station data

10.2 CMIP6 data download and display

10.3 CMIP6 data downscaling processing

10.4 Retrieval of land surface temperature based on remote sensing data

Greenhouse Gas Data Processing

11.1 Acquisition and analysis of available greenhouse gas satellite retrieval data

11.2 Construction of remote sensing regression model for forest carbon stock estimation

11.3 NEP (Net Ecosystem Productivity) Analysis Based on CASA Model

11.4 Analysis of land use carbon storage based on InVEST model

Spatial Statistical Analysis

12.1 Statistical Analysis of Spatial Partitions

12.2 Measuring geographic distribution: standard distance, mean center, etc.

12.3 Spatial Autocorrelation Analysis: Global Moran Index

12.4 Spatial Cluster Analysis: Local Moran Index, Hot Spot Analysis

12.5 Modeling Spatial Relationships: Geographically Weighted Regression

ArcGIS Advanced Application Skills

13.1 ArcGIS Realization of Mathematical Model of Ecological Environment

13.2 Field Calculator and Raster Calculator Advanced Tips

13.3 ArcGIS modeling tools: Model Builder and its application

13.4 ArcGIS data batch processing skills

13.5 Introduction to ArcGIS Add-In Tool Development

Project promotion and thesis writing

14.1 How to improve the project level under limited data

14.2 Analysis of the framework of the "eight-legged essay" style SCI paper

14.3 How to determine a good thesis topic with limited data

14.4 How to effectively respond to review comments

Original text link: Based on ArcGIS, ENVI, InVEST, FRAGSTATS and other multi-technology integration and upgrading technology

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Origin blog.csdn.net/weixin_58566962/article/details/131708284