AOI set to Montgomery, United States (admin level 2). I can now use this AOI for further analysis.

Canopy loss has been rendered for Montgomery County, showing cumulative loss through 2024. You can see the image by using the following URL: https://api.signals.earthgenome.org/render/raster/lossyear.png?feature_id=29d504f2-31ce-400f-92eb-a4e1f54ccd05&year=2024&max_dimension=1024&all_touched=true

Roads and rivers have been successfully rendered for Montgomery County. You can view the roads using this URL: https://api.signals.earthgenome.org/render/tiles/roads/{z}/{x}/{y}.mvt?feature_id=732621b1-b768-4ee6-b86c-e0c8eb58a957 and the rivers using this URL: https://api.signals.earthgenome.org/render/tiles/rivers/{z}/{x}/{y}.mvt?feature_id=502638cd-f2f6-4c2c-ba9c-0f93b44dda93.

For Montgomery County, the canopy loss shows a 66.99% decrease from the 2001 baseline through 2024. The cumulative loss area is 29,133.55 hectares.

To identify areas with the worst canopy loss, I can stratify the Montgomery County AOI into a grid and compute the percentage of canopy loss within each cell. This will allow us to visualize the distribution of loss across the county.

I have stratified Montgomery County into a 1000-meter grid, and each cell now shows the percentage of canopy loss from the 2001 baseline through the latest available data. When viewing this on a map, you can hover over individual grid cells to see the exact cumulative loss area in hectares and the percentage decrease. This will help you pinpoint the areas with the most significant canopy loss.

I have now stratified the Montgomery County AOI into a 10 km grid. Each cell in this grid represents the percentage of canopy loss from the 2001 baseline. You can view this on a map, and hovering over individual grid cells will display the cumulative loss area in hectares and the percentage decrease, allowing you to identify areas with the most significant canopy loss.

I have stratified the Montgomery County AOI into a 5 km grid. Each cell in this grid now shows the percentage of canopy loss from the 2001 baseline through the latest available data. When viewing this on a map, you can hover over individual grid cells to see the exact cumulative loss area in hectares and the percentage decrease. This will help you pinpoint the areas with the most significant canopy loss.

I can't directly identify the "worst" 5km cell by its specific attributes within this chat interface, as the stratification result is primarily for visualization on a map.

To find the worst 5km cell, you would need to:

1. View the generated grid on a map. The previous stratification created a map layer where each 5km cell is colored based on its percentage of canopy loss.
2. Identify the darkest or most intensely colored cell, as this would represent the highest percentage of canopy loss.
3. Hover over or click on that cell on the map to see its exact cumulative loss area in hectares and the percentage decrease.

I've rendered the Global Land Cover and Land Use (GLCLU) data for your AOI. The map will display land use for the year 2020. You can also view maps for other years (2000, 2005, 2010, 2015) using the provided image URLs if needed.

I've rendered the canopy loss data for your AOI. The map now displays the cumulative tree canopy loss through 2024. You can also view maps for other years (2001, 2004, 2009, 2014, 2019) using the provided image URLs to see the progression of canopy loss over time.

The cumulative canopy loss in the AOI through 2024 is 29,133.55 hectares, representing a 66.99% decrease from the 2001 baseline.

I've rendered the population data for your AOI. The map now displays the population density.