Maxim Lamare maximlamare

## fetchQL.py
# Requests
from oauthlib.oauth2 import BackendApplicationClient
from requests_oauthlib import OAuth2Session
import requests
# Plotting
from PIL import Image
from io import BytesIO
import matplotlib.pyplot as plt

# Fetch Oauth token

## ndvi_unit16.js
//VERSION=3
function setup() {
  return {
    input: ["B04", "B08"],
    output: { bands: 1, sampleType: "UINT16" }
  };
}

function evaluatePixel(sample) {
let ndvi = index(sample.B08, sample.B04);

## s2_DN.js
//VERSION=3

function setup() {
  return {
    input: [
      {
        bands: ["B02"],
        units: "DN",
      }
    ],

## eval_multi.js
//VERSION=3
function setup() {
  return {
    input: ["B02"],
    output: { bands: 1, sampleType: "UINT16" }
  };
}

const f = 10000;

## s2_eval_b2_auto.js
//VERSION=3
function setup() {
  return {
    input: ["B02"],
    output: { bands: 1, sampleType: "AUTO" }
  };
}

function evaluatePixel(sample) {
  return [sample.B02];

## s2_eval.js
//VERSION=3
function setup() {
  return {
    input: ["B02"],
    output: { bands: 1, sampleType: "INSERT-HERE" }
  };
}

function evaluatePixel(sample) {
  return [sample.B02];

## sampleType_SH.csv

          
            Name
             Description
             Range

            
              UINT8
               unsigned 8-bit integer
               0-255

## batch_us_west.py
# For requests
import requests
from oauthlib.oauth2 import BackendApplicationClient
from requests_oauthlib import OAuth2Session
from sentinelhub import SHConfig

config = SHConfig()

# Set up credentials for use with batch
client = BackendApplicationClient(client_id=config.sh_client_id)

## evalscript.js
//VERSION=3

// Calculate number of bands needed for all intervals
// Initialise dates and interval
// Beware: in JS months are 0 indexed
var start_date = new Date(2019, 3, 1, 0, 0, 0);
var end_date = new Date(2019, 9, 31, 0, 0, 0);
var sampled_dates = sample_timestamps(start_date, end_date, 15, 'day').map(d => withoutTime(d));
var nb_bands = sampled_dates.length;
var n_valid = 0;

## payload.js
order = {
  "processRequest": {
    "input": {
      "bounds": {
        "geometry": {
          "type": "Polygon",
          "coordinates": AOI_bounds
        },
        "properties": {
          "crs": "http://www.opengis.net/def/crs/EPSG/0/32632"
	# Requests
	from oauthlib.oauth2 import BackendApplicationClient
	from requests_oauthlib import OAuth2Session
	import requests
	# Plotting
	from PIL import Image
	from io import BytesIO
	import matplotlib.pyplot as plt

	# Fetch Oauth token
	//VERSION=3
	function setup() {
	return {
	input: ["B04", "B08"],
	output: { bands: 1, sampleType: "UINT16" }
	};
	}

	function evaluatePixel(sample) {
	let ndvi = index(sample.B08, sample.B04);
	# For requests
	import requests
	from oauthlib.oauth2 import BackendApplicationClient
	from requests_oauthlib import OAuth2Session
	from sentinelhub import SHConfig

	config = SHConfig()

	# Set up credentials for use with batch
	client = BackendApplicationClient(client_id=config.sh_client_id)
	//VERSION=3

	// Calculate number of bands needed for all intervals
	// Initialise dates and interval
	// Beware: in JS months are 0 indexed
	var start_date = new Date(2019, 3, 1, 0, 0, 0);
	var end_date = new Date(2019, 9, 31, 0, 0, 0);
	var sampled_dates = sample_timestamps(start_date, end_date, 15, 'day').map(d => withoutTime(d));
	var nb_bands = sampled_dates.length;
	var n_valid = 0;
	order = {
	"processRequest": {
	"input": {
	"bounds": {
	"geometry": {
	"type": "Polygon",
	"coordinates": AOI_bounds
	},
	"properties": {
	"crs": "http://www.opengis.net/def/crs/EPSG/0/32632"