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Update app.py
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app.py
CHANGED
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@@ -8,18 +8,13 @@ def process_dem(dem_path):
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# --- OPEN DEM ---
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with rasterio.open(dem_path.name) as src:
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dem = src.read(1).astype(float)
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transform = src.transform
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res_x, res_y = transform.a, -transform.e # pixel size
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# --- BUILD GRID ---
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nrows, ncols = dem.shape
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x = np.arange(ncols) * res_x + transform.c
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y = np.arange(nrows) * res_y + transform.f
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X, Y = np.meshgrid(x, y)
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Z = dem
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# --- COMPUTE SLOPE ---
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slope = np.sqrt(dx**2 + dy**2)
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# --- RISK MASK ---
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@@ -28,26 +23,25 @@ def process_dem(dem_path):
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# --- 2D RISK MAP ---
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fig2d, ax = plt.subplots(figsize=(8, 6))
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c = ax.imshow(slope, cmap="hot",
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ax.contour(risk_mask, levels=[0.5], colors="blue", linewidths=0.8
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extent=[x.min(), x.max(), y.min(), y.max()])
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plt.colorbar(c, ax=ax, label="Slope (steepness)")
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ax.set_title("Slope Risk Map (Hot = Steep, Blue = Risk zones)")
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ax.set_xlabel("
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ax.set_ylabel("
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risk_map_path = "risk_map.png"
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plt.savefig(risk_map_path, dpi=150, bbox_inches="tight")
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plt.close(fig2d)
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step = max(1, nrows // 200)
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fig3d = go.Figure()
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# Base DEM
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fig3d.add_trace(go.Surface(
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z=Z[::step, ::step],
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colorscale="Earth",
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showscale=True,
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opacity=0.9,
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contours=dict(z=dict(show=True, usecolormap=True, highlightcolor="black", project_z=True))
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@@ -62,7 +56,6 @@ def process_dem(dem_path):
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opacity=0.6
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))
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# Fix proportions
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fig3d.update_layout(
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title="Interactive 3D DEM with Contours & Steep Slope Highlight",
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scene=dict(
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@@ -73,5 +66,20 @@ def process_dem(dem_path):
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)
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)
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if __name__ == "__main__":
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demo.launch()
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# --- OPEN DEM ---
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with rasterio.open(dem_path.name) as src:
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dem = src.read(1).astype(float)
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nrows, ncols = dem.shape
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Z = dem
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# --- COMPUTE SLOPE ---
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# Assuming square pixels (ok for visualization)
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dy, dx = np.gradient(Z)
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slope = np.sqrt(dx**2 + dy**2)
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# --- RISK MASK ---
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# --- 2D RISK MAP ---
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fig2d, ax = plt.subplots(figsize=(8, 6))
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c = ax.imshow(slope, cmap="hot", origin="upper")
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ax.contour(risk_mask, levels=[0.5], colors="blue", linewidths=0.8)
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plt.colorbar(c, ax=ax, label="Slope (steepness)")
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ax.set_title("Slope Risk Map (Hot = Steep, Blue = Risk zones)")
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ax.set_xlabel("Column Index (X)")
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ax.set_ylabel("Row Index (Y)")
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risk_map_path = "risk_map.png"
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plt.savefig(risk_map_path, dpi=150, bbox_inches="tight")
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plt.close(fig2d)
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# --- INTERACTIVE 3D DEM (Plotly) ---
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step = max(1, nrows // 200)
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fig3d = go.Figure()
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# Base DEM surface
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fig3d.add_trace(go.Surface(
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z=Z[::step, ::step],
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colorscale="Earth", # similar to matplotlib 'terrain'
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showscale=True,
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opacity=0.9,
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contours=dict(z=dict(show=True, usecolormap=True, highlightcolor="black", project_z=True))
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opacity=0.6
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))
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fig3d.update_layout(
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title="Interactive 3D DEM with Contours & Steep Slope Highlight",
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scene=dict(
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)
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)
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return risk_map_path, fig3d
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# --- GRADIO APP ---
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demo = gr.Interface(
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fn=process_dem,
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inputs=gr.File(label="Upload DEM (.tif)", file_types=[".tif"]),
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outputs=[
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gr.Image(type="filepath", label="2D Slope Risk Map"),
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gr.Plot(label="Interactive 3D DEM (with Contours & Risk Zones)")
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],
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title="3D DEM & Landslide Risk Visualizer",
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description="Upload a GeoTIFF DEM file to see a 2D slope risk map and an interactive 3D DEM with contours & steep slope zones highlighted."
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)
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if __name__ == "__main__":
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demo.launch()
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