Forest Fragmentation Analysis Workflow
Introduction
This document outlines the comprehensive workflow for forest fragmentation analysis, incorporating various scripts and methodologies to process spatial data effectively.
Rationale
The analysis is crucial to understand the impact of environmental changes on forest ecosystems, providing insights into the areas of fragmentation and potential conservation strategies.
Goal
To assess forest fragmentation by transforming spatial data into actionable insights through advanced geospatial analysis.
Workflow Steps
1. **Convert Shapefile to Raster Tiles (Resolution 5m per Pixel)**
- Load shapefile to PostgreSQL.
- Create raster tiles, mask, and fragmentation:
- [Rasterize Fragmentation 5m Script](https://github.com/E-O-Conchas/fragmentation/blob/main/1.rasterize_mask_and_fragmentation_5m.py)
- Combine mask and fragmentation:
- [Combine Frag Mask Tiles Script](https://github.com/E-O-Conchas/fragmentation/blob/main/2.combine_mask_and_fragmentation_tiles_gdal.py)
- Generate list of valid tiles:
- [Get Valid Tiles Script](https://github.com/E-O-Conchas/fragmentation/blob/main/3.generate_list_valid_tiles.py)
- Create VRT from valid tiles:
- [Create VRT Script](https://github.com/E-O-Conchas/fragmentation/blob/main/4.create_vrt_from_valid_tiles.py)
2. **Tile Raster Inside GRASS GIS, run Clumps analysis and Export**
- Load VRT to GRASS GIS
- [Import tiles to GRASS GIS](https://github.com/E-O-Conchas/fragmentation/blob/main/5.load_vrt_to_grass.py)
- Run Clump Function on Full Raster
- [Clumps Full Raster and Report in GRASS Script](https://github.com/E-O-Conchas/fragmentation/blob/main/6.clumps_full_raster_and_report_GRASS.py)
- Tile Raster and Export Files in GRASS GIS
- Before Export Tiles, create a Mask to export only forest polygons
- [Create Tiles and Export Files in GRASS Script](https://github.com/E-O-Conchas/fragmentation/blob/main/7.create_tiles_and_export_files_GRASS.py)
3. **Delete Empty Tiles**
- [Delete Empty Tiles Script](https://github.com/E-O-Conchas/fragmentation/blob/main/8.delete_empty_tiles.py)
4. **Aggregate Rasters to 1km Resolution**
- [Aggregate Tiles 5m to 1k Script](https://github.com/E-O-Conchas/fragmentation/blob/main/9.tiles_to_1km_optimized.py)
5. **Calculate Fragmentation Per Pixel with a Moving Window**
- [Calculate Fragmentation Index Script](https://github.com/E-O-Conchas/fragmentation/blob/main/10.fragmentation_indicatior_cal.py)
6. **Create VRT from the results **
- [Generate VRT file with the fragmentation results](https://github.com/E-O-Conchas/fragmentation/blob/main/11.convert_result_to_vrt.py)Source Data
- need to be fill it
Output Data
- Raster files indicating the fragmentation index and other metrics.
Additional Notes
- Ensure all software and libraries are correctly configured and installed.
- Verify data integrity at each step.
Conclusion
This workflow provides a structured and detailed approach for analyzing forest fragmentation, utilizing a suite of scripts for comprehensive analysis.
Author
- need to be fill it