From ab1f1cdaeac00035edbd93aa974005e8e92dcc57 Mon Sep 17 00:00:00 2001 From: Aron Date: Sat, 11 Oct 2025 15:03:20 +0200 Subject: [PATCH] code skelett --- 01_ndvi.ipynb | 8866 ----------------------------- 04_land_surface_temperature.ipynb | 355 -- water-game.py | 17 +- 3 files changed, 14 insertions(+), 9224 deletions(-) delete mode 100644 01_ndvi.ipynb diff --git a/01_ndvi.ipynb b/01_ndvi.ipynb deleted file mode 100644 index 8ae51ef..0000000 --- a/01_ndvi.ipynb +++ /dev/null @@ -1,8866 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# NDVI (Vegetationsindex)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Räumliche und zeitliche Ausdehnung\n", - "\n", - "Unterschungsbereich und Zeitraum festlegen." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "spatial_extent = {'west': 8.721771, 'south': 53.025027, 'east': 8.904419, 'north': 53.114965}" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "temporal_extent = [\"2020-01-01\", \"2021-01-01\"]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Authentifizierung" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Um Satellitenbilder herunterzuladen wird ein Account bei [Dataspace Copernicus](https://dataspace.copernicus.eu) benötigt" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import openeo\n", - "\n", - "connection = openeo.connect(\"https://openeo.dataspace.copernicus.eu/\").authenticate_oidc()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "cube = connection.load_collection(\n", - " \"SENTINEL2_L2A\", # Sentinel 2 Satellit\n", - " spatial_extent=spatial_extent,\n", - " temporal_extent=temporal_extent,\n", - " bands=[\"B04\", \"B08\"], # Rot- und Infrarotkanal\n", - " max_cloud_cover=50\n", - ")\n", - "\n", - "# Durchschnitt über alle Aufnahmezeitpunkte\n", - "cube = cube.mean_time()\n", - "\n", - "# Werte skalieren\n", - "cube = cube.apply(lambda v: v * 0.0001)\n", - "\n", - "# Rotes und Nah-Infrarot Band auslesen\n", - "red = cube.band(\"B04\")\n", - "nir = cube.band(\"B08\")\n", - "\n", - "# NDVI berechnen\n", - "ndvi = (nir - red) / (nir + red)\n", - "\n", - "# Data cube herunterladen\n", - "ndvi = ndvi.save_result(format=\"GTIFF\")\n", - "job = ndvi.create_job(title=\"NDVI Image\")\n", - "job.start_and_wait().download_result('results/ndvi.tif')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Anzeige" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import leafmap\n", - "\n", - "m = leafmap.Map()\n", - "\n", - "m.add_raster('results/ndvi.tif', colormap='RdYlGn', vmin=-0.2, vmax=0.8)\n", - "\n", - "m" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Daten einlesen" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Mit `rasterio` können wir die Messwerte in einem Array einlesen, um damit weitere Analyse vorzunehmen." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import rasterio as rio\n", - "\n", - "# Datei öffnen\n", - "src = rio.open('results/ndvi.tif')\n", - "\n", - "# Pixelwerte auslesen\n", - "data = src.read()\n", - "\n", - "data" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import plotly.express as px\n", - "\n", - "fig = px.imshow(\n", - " data[0],\n", - " color_continuous_scale='RdYlGn',\n", - " color_continuous_midpoint=0.1,\n", - " height=800\n", - ")\n", - "\n", - "fig.show()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - 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01Bremen04000000NoneNoneNoneNaN318.195497MULTIPOLYGON (((474358.64 5894064.42, 474311.0...
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" - ], - "text/plain": [ - " id bez_lan sch_lan repentuncd unaggid agglomerat inhabitant size \\\n", - "0 1 Bremen 04000000 None None None NaN 318.195497 \n", - "\n", - " geometry \n", - "0 MULTIPOLYGON (((474358.64 5894064.42, 474311.0... " - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import geopandas as gpd\n", - "\n", - "gdf = gpd.read_file('Verwaltungsgrenzen_HB_BHV', layer=\"hb_landesflaeche_Teil_I_BRE\")\n", - "gdf" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "1cc183c8-ef90-4870-8f36-c6436c91d419", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
Make this Notebook Trusted to load map: File -> Trust Notebook
" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "gdf.explore()" - ] - }, { "cell_type": "markdown", "id": "3140ba0c-bedc-4314-876e-01598e2826c8", @@ -401,29 +72,6 @@ "Bestimmung der räumlichen Ausdehnung anhand der Vektorgeometrien" ] }, - { - "cell_type": "code", - "execution_count": 23, - "id": "fc491aa9-36a4-4c00-9c66-abc98df32b1a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[8.481758449250766, 53.01115244699335, 8.990813245344944, 53.2289106605276]" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Bounding Box bestimmen\n", - "bbox = gdf.to_crs('WGS84').total_bounds.tolist()\n", - "bbox" - ] - }, { "cell_type": "code", "execution_count": null, @@ -445,9 +93,6 @@ } ], "source": [ - "spatial_extent=dict(zip([\"west\", \"south\", \"east\", \"north\"], bbox))\n", - "\n", - "spatial_extent\n", "\n", "spatial_extent = {'west': 8.721771, 'south': 53.025027, 'east': 8.904419, 'north': 53.114965}" ] diff --git a/water-game.py b/water-game.py index a73840c..6c32dee 100644 --- a/water-game.py +++ b/water-game.py @@ -6,13 +6,13 @@ import rasterio pygame.init() -WIDTH, HEIGHT = 800, 600 +WIDTH, HEIGHT = 1920, 1080 WIN = pygame.display.set_mode((WIDTH, HEIGHT)) pygame.display.set_caption("Water Bottle Shooter") WHITE = (255, 255, 255) BLUE = (0, 150, 255) -PLAYER_COLOR = (0, 200, 0) +PLAYER_COLOR = (200, 200, 0) WATER_COLOR = (0, 180, 255) PLAYER_SIZE = 40 @@ -20,6 +20,14 @@ PLAYER_SPEED = 5 WATER_SIZE = 10 WATER_SPEED = 10 +PLAYER_IMAGE_PATH = "player.png" # Path to your player image +try: + PLAYER_IMAGE = pygame.image.load(PLAYER_IMAGE_PATH).convert_alpha() + PLAYER_IMAGE = pygame.transform.scale(PLAYER_IMAGE, (PLAYER_SIZE, PLAYER_SIZE)) +except Exception as e: + print(f"Could not load player image: {e}") + PLAYER_IMAGE = None + clock = pygame.time.Clock() # Load raster map as background @@ -78,7 +86,10 @@ class Player: self.rect.topleft = (self.x, self.y) def draw(self, win, offset_x, offset_y): - pygame.draw.rect(win, PLAYER_COLOR, (self.x - offset_x, self.y - offset_y, PLAYER_SIZE, PLAYER_SIZE)) + if PLAYER_IMAGE: + win.blit(PLAYER_IMAGE, (self.x - offset_x, self.y - offset_y)) + else: + pygame.draw.rect(win, PLAYER_COLOR, (self.x - offset_x, self.y - offset_y, PLAYER_SIZE, PLAYER_SIZE)) class WaterBottle: