Upload request_multiple_images_linux.py

File modified to get images 16-bits deep

request_multiple_images_linux.py

@@ -0,0 +1,215 @@
+# -*- coding: utf-8 -*-
+
+'''
+Author: Sebastian Cajas
+
+We recommend to use eo-learn for more complex cases where you need multiple timestamps or high-resolution data for larger areas.
+https://github.com/sentinel-hub/eo-learn
+
+!pip install epiweeks
+
+
+'''
+
+from sentinelhub import SHConfig
+import os
+import datetime
+import numpy as np
+import matplotlib.pyplot as plt
+import sys
+from datetime import timedelta
+sys.path.insert(0,'..') 
+from sentinelhub import MimeType, CRS, BBox, SentinelHubRequest, SentinelHubDownloadClient, DataCollection, bbox_to_dimensions, DownloadRequest
+#from rename_linux import *
+from epiweeks import Week, Year
+from datetime import date
+import glob, shutil
+
+def cleaners(dataset, root_images):
+ for root, dirs, files in os.walk(dataset, topdown=True):
+ for name in files:
+ path = os.path.join(root, name)
+ if ".tiff" in path:
+ os.remove(path)
+ 
+ 
+ return print("Ready")
+
+def get_epi_weeks(start):
+ 
+
+ tdelta = timedelta(days = 7)
+
+ 
+ edges = [(start + i*tdelta) for i in range(2)]
+ 
+ 
+ return [(edges[i], edges[i+1]) for i in range(len(edges)-1)]
+ 
+
+def plot_image(image, factor=1.0, clip_range = None, **kwargs):
+ """
+ Utility function for plotting RGB images.
+ """
+ fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(15, 15))
+ if clip_range is not None:
+ ax.imshow(np.clip(image * factor, *clip_range), **kwargs)
+ else:
+ ax.imshow(image * factor, **kwargs)
+ ax.set_xticks([])
+ ax.set_yticks([])
+
+def download_multiple_images(coordinates, start, year, CLIENT_ID, CLIENT_SECRET):
+
+ # put here your credentials
+ CLIENT_ID = CLIENT_ID
+ CLIENT_SECRET = CLIENT_SECRET
+
+ config = SHConfig()
+
+ if CLIENT_ID and CLIENT_SECRET:
+ config.sh_client_id = CLIENT_ID
+ config.sh_client_secret=CLIENT_SECRET
+ 
+ if not config.sh_client_id or not config.sh_client_secret:
+ print("Warning! To use Process API, please provide the credentials (OAuth client ID and client secret).")
+
+ resolution = 10
+ bbox = BBox(bbox=coordinates, crs=CRS.WGS84)
+ bbox_size = bbox_to_dimensions(bbox, resolution=resolution)
+
+ #print(f'Image shape at {resolution} m resolution: {bbox_size} pixels')
+
+ slots = get_epi_weeks(start)
+ 
+ # Visualization purposes
+ d_init = slots[0][0].strftime('%m/%d/%Y')
+ d_end = slots[0][1].strftime('%m/%d/%Y')
+ print(f"Requested week slot: {d_init} - {d_end} ")
+
+
+ script_Medellin = """
+
+ //VERSION=3
+ function setup() {
+ return {
+ input: [{
+ bands: ["B01", "B02", "B03", "B04", "B05", "B06", "B07", "B08", "B8A", "B09", "B10", "B11", "B12"],
+ units: "DN"
+ }],
+ output: {
+ id: "default",
+ bands: 12,
+ sampleType: SampleType.UINT16
+ }
+ }
+ }
+
+ function evaluatePixel(sample) {
+ return [ sample.B01, sample.B02, sample.B03, sample.B04, sample.B05, sample.B06, sample.B07, sample.B08, sample.B8A, sample.B09, sample.B10, sample.B11, sample.B12]
+ }
+ """
+ 
+
+ '''Check if directory exists, if not, create it'''
+ 
+ # You should change 'test' to your preferred folder.
+ # If folder doesn't exist, then create it.
+ 
+ # if windows: 
+ path = os.path.abspath(os.getcwd()) + "//data" + "//" + year
+ # if linux: path = os.path.abspath(os.getcwd()) + "/data" + "/" year
+ 
+ if not os.path.isdir(path):
+ os.makedirs(path)
+ #print("created folder : ", path)
+ else:
+ #print(path, "Folder already exists. Rewriting*")
+ pass
+ 
+ def get_true_color_request(time_interval):
+ return SentinelHubRequest(
+ data_folder= 'data' + "/" + year,
+ evalscript=script_Medellin,
+ input_data=[
+ SentinelHubRequest.input_data(
+ data_collection=DataCollection.SENTINEL2_L1C,
+ #time_interval=('2015-11-1', '2015-11-20'), #time_interval,
+ time_interval=time_interval,
+ mosaicking_order='leastCC'
+ )
+ ],
+ responses=[
+ SentinelHubRequest.output_response('default', MimeType.TIFF)
+ ],
+ bbox=bbox,
+ size=bbox_size,
+ config=config
+ )
+
+ # create a list of requests
+ list_of_requests = [get_true_color_request(slot) for slot in slots]
+ list_of_requests = [request.download_list[0] for request in list_of_requests]
+
+ image = SentinelHubDownloadClient(config=config).download(list_of_requests, max_threads=5)
+ print("Ended downloading")
+
+ # Verify if images are empty, if not, correct
+ img = np.array(image)
+ #with open('readme.txt', 'w') as f:
+ # f.write(img.shape)
+ 
+ print(img.shape)
+ print(img.max())
+ 
+ # Verify if images are empty, if not, correct
+ if img.sum() == 0:
+ print("Image empty: ", img.sum())
+ # Initialize 
+ end = slots[0][1]
+ # Add delay by 1 day step
+ while img.sum() == 0: # tune
+ tdelta = timedelta(days = 1)
+ init = slots[0][0]
+ end = end + tdelta
+ corrected_slot = [(init, end)]
+ #print("Slot corrected to: ", corrected_slot)
+ list_of_requests = [get_true_color_request(slot) for slot in corrected_slot]
+ 
+ list_of_requests = [request.download_list[0] for request in list_of_requests]
+ image = SentinelHubDownloadClient(config=config).download(list_of_requests, max_threads=5)
+ img = np.array(image)
+ print("This image is being replaced..")
+ print("Slot corrected to: ", corrected_slot)
+ 
+ 
+ else:
+ print(f"Pixel values: ", np.unique(img))
+ pass
+
+ '''
+ # Remove extra dimension
+ img = np.squeeze(image, axis = 0)
+ 
+ ncols = 4
+ nrows = 3
+
+ aspect_ratio = bbox_size[0] / bbox_size[1]
+ subplot_kw = {'xticks': [], 'yticks': [], 'frame_on': False}
+
+ plot_image(img[:,:,1], factor=1.0, cmap=plt.cm.Greys_r, vmin=0, vmax=120)
+ '''
+ return img
+
+def get_folder_ID(root_images, img_format):
+ 
+ walker = "." + root_images
+ 
+ for root, dirs, files in os.walk(walker, topdown=True):
+ for name in files:
+ path = os.path.join(root, name)
+ if "response" in path:
+ 
+ folder_path = path.replace("/" + "response." + img_format, "")
+
+ return folder_path