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tutorial/Add raster to interactive map.py

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+# -*- coding: utf-8 -*-
+"""
+Created on Mon Jan 15 10:16:04 2024
+
+@author: gardi
+"""
+
+#src = rasterio.open("C:/Users/gardi/NDVI.tif")
+
+
+from localtileserver import TileClient, get_leaflet_tile_layer
+from ipyleaflet import Map
+
+client = TileClient('C:/Users/gardi/NDVI.tif')
+
+layer = get_leaflet_tile_layer(client)
+
+m = Map(center=client.center(), zoom=client.default_zoom)
+m.add(layer)
+m
+
+# Save the interactive map as an HTML file (optional)
+m.save("interactive_map22.html")

tutorial/Create interctive map using folium.py

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+# -*- coding: utf-8 -*-
+"""
+Created on Mon Jan 15 00:43:52 2024
+
+@author: gardi
+"""
+
+import folium
+
+political_countries_url = (
+    "http://geojson.xyz/naturalearth-3.3.0/ne_50m_admin_0_countries.geojson"
+)
+
+m = folium.Map(location=(30, 10), zoom_start=3, tiles="cartodb positron")
+folium.GeoJson(political_countries_url).add_to(m)
+
+m.save("footprint.html")

tutorial/Download Landsat image and metadata using GeeOpener pylst.py

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+# -*- coding: utf-8 -*-
+"""
+Created on Fri Jan 12 18:56:51 2024
+
+@author: gardi
+"""
+
+import ee
+# Authenticate using your GEE account credentials
+ee.Authenticate()
+
+ee.Initialize()
+
+from pylst.open.geeopener import GeeOpener
+
+# Create an instance of the GeeOpener class
+gee_opener = GeeOpener()
+
+# Specify region, start date, and end date
+region = ee.Geometry.Point(44.0092, 36.1911).buffer(10000)
+start_date = '2021-10-01'
+end_date = '2021-11-01'
+
+# Open the Landsat image from Google earth Engine and use landsat image ID as the filename with ".tif" 
+gee_opener.open(region, start_date, end_date)

tutorial/Download Landsat image collection and metadata using GeeOpener pylst.py

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+# -*- coding: utf-8 -*-
+"""
+Created on Fri Jan 12 18:56:51 2024
+
+@author: gardi
+"""
+
+import ee
+# Authenticate using your GEE account credentials
+ee.Authenticate()
+ee.Initialize()
+
+# from pylst.open.coopener import ColOpener
+import sys
+sys.path.append('D:\Python\pylst\pylst12\pylst\open')
+
+from coopener import ColOpener
+
+#from .coopener import ColOpener
+
+# Create an instance of the GeeOpener class
+gee_opener = ColOpener()
+
+# Specify region, start date, and end date
+region = ee.Geometry.Point(44.0092, 36.1911).buffer(100)
+start_date = '2020-07-01'
+end_date = '2020-08-01'
+
+# Open the Landsat image collection from Google Earth Engine
+gee_opener.open(region, start_date, end_date)

tutorial/Example application of change detection.py

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+# -*- coding: utf-8 -*-
+"""
+Created on Tue Jan 16 21:15:34 2024
+
+@author: Azad Rasul
+"""
+
+# Import the analyze_images function from the changedet module in the pylst.spatial_analysis package
+from pylst.spatial_analysis.changedet import analyze_images
+
+# Define paths to Landsat images for analysis
+landsat_image_path1 = "D:\\UHI_Baghdad\\LST_Baghdad\\LST23_07_2021_Landsat8_NRS.tif"
+landsat_image_path2 = "D:\\UHI_Baghdad\\LST_Baghdad\\LST14_07_2000_Landsat7_NRS.tif"
+
+# Define the output path for saving the analysis result as GeoTIFF
+output_path_geotiff = "D:\\UHI_Baghdad\\analysis_result_difference1.tif"
+
+# Call the analyze_images function
+analysis_result = analyze_images(landsat_image_path1, landsat_image_path2, output_path_geotiff)
+
+# Print the analysis result
+if analysis_result:
+    # If analysis was successful, print the result and the path where the GeoTIFF result is saved
+    print(analysis_result)
+    print(f"Analysis result saved to: {output_path_geotiff}")
+else:
+    # If analysis failed, print an error message
+    print("Analysis failed.")

tutorial/Example application of zonal statistics.py

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+# -*- coding: utf-8 -*-
+"""
+Created on Tue Jan 16 14:40:44 2024
+
+@author: gardi
+"""
+# Import the calculate_zs function from the zonstat module in the pylst.spatial_analysis package
+from pylst.spatial_analysis.zonstat import calculate_zs
+
+# Define the path to the shapefile containing the administrative boundaries (in this case, Erbil_Admi_3.shp)
+shapefile_path = "C:\\Users\\gardi\\Erbil_Shapefile\\Erbil_Admi_3.shp"
+
+# Define the path to the raster file (in this case, Chirps_Erbil.tif) for spatial analysis
+raster_path = "C:\\Users\\gardi\\Chirps_Erbil.tif"
+
+# Call the calculate_zs function, passing the shapefile and raster paths as arguments
+# This function performs zone-based statistics, calculating values for each zone in the shapefile from the corresponding raster data
+df = calculate_zs(shapefile_path, raster_path)
+
+# Print the resulting DataFrame that contains the calculated zone-based statistics
+print(df)
+

tutorial/Example apply histogram.py

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+# -*- coding: utf-8 -*-
+"""
+Created on Mon Jan 15 12:28:41 2024
+
+@author: gardi
+"""
+from .visualization import histogram_equalization
+# Example application
+image_path = "C:/Users/gardi/NDVI.tif"  # Replace with the path to your image
+histogram_equalization(image_path)

tutorial/Example of download Landsat image collection using landsat_downloader.py

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+# -*- coding: utf-8 -*-
+"""
+@author: Azad Rasul
+"""
+# pylst/open/example_usage.py
+
+# Import the download_images function from the landsat_downloader module
+from landsat_downloader import download_images
+
+# Specify the start and end dates for the Landsat image collection
+start_date = "2020-07-01"
+end_date = "2020-07-16"
+
+# Set the maximum allowed cloud cover percentage
+max_cloud_cover = 20
+
+# Define the region of interest as a bounding box (longitude, latitude)
+region = [[-120, 34], [-120, 35], [-119, 35], [-119, 34], [-120, 34]]
+
+# Call the download_images function to download Landsat images
+download_images(start_date, end_date, max_cloud_cover, region)