Give me an agricultural remote sensing project based on ArcGIS Pro
时间: 2024-05-27 10:13:47 浏览: 104
Title: Mapping Crop Yield and Water Use Efficiency Using Remote Sensing and GIS Techniques
Objective: To map the crop yield and water use efficiency (WUE) of a selected agricultural area using remote sensing and GIS techniques.
Methodology:
1. Acquire satellite images of the study area from different periods of the growing season (e.g. pre-planting, mid-season, and post-harvest).
2. Process the satellite images using ArcGIS Pro to generate vegetation indices such as NDVI (Normalized Difference Vegetation Index) and EVI (Enhanced Vegetation Index).
3. Create a land-use/land-cover (LULC) map of the study area using the classified satellite images.
4. Collect ground-truth data on crop yield and WUE from selected sample plots in the study area.
5. Use the ground-truth data to calibrate the vegetation indices and develop regression models for crop yield and WUE.
6. Apply the regression models to the vegetation indices to estimate crop yield and WUE for the entire study area.
7. Generate maps of crop yield and WUE using ArcGIS Pro.
8. Analyze the spatial patterns of crop yield and WUE using spatial statistics tools in ArcGIS Pro.
9. Evaluate the accuracy of the crop yield and WUE maps using validation data.
10. Discuss the implications of the results for agricultural management and policy.
Expected Output:
1. A map of land-use/land-cover of the study area.
2. Maps of crop yield and WUE for the study area.
3. Statistical analysis of the spatial patterns of crop yield and WUE.
4. Discussion of the implications of the results for agricultural management and policy.
Conclusion:
This project demonstrates the potential of remote sensing and GIS techniques for mapping crop yield and WUE at a regional scale. The results can be used to inform agricultural management and policy decisions, such as optimizing irrigation scheduling and improving crop management practices.
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