def ee_pre_processing(request):
request = request.get_json()
# Variables
collection = request.get('collection')
startDate = ee.Date(request.get('start'))
stopDate = ee.Date(request.get('end'))
scale = request.get('scale')
# Bands
bands = ee_collection_specifics.ee_bands(collection)
# Get composite
image = ee_collection_specifics.Composite(collection)(startDate, stopDate)
image = image.select(bands)
# Normalize images
if ee_collection_specifics.normalize(collection):
# Get min man values for each band
values = min_max_values(image, collection, scale)
# Normalize images
image = normalize_ee_images(image, collection, values)
else:
values = {}
return json.dumps({'bands_min_max': values, 'composite': image.serialize()})
def normalize_ee_images(image, collection, values):
Bands = ee_collection_specifics.ee_bands(collection)
# Normalize [0, 1] ee images
for i, band in enumerate(Bands):
if i == 0:
image_new = image.select(band).clamp(values[band+'_min'], values[band+'_max'])\
.subtract(values[band+'_min'])\
.divide(values[band+'_max']-values[band+'_min'])
else:
image_new = image_new.addBands(image.select(band).clamp(values[band+'_min'], values[band+'_max'])\
.subtract(values[band+'_min'])\
.divide(values[band+'_max']-values[band+'_min']))
return image_new
def __init__(self, point, buffer, startDate, stopDate, scale, collection):
"""
Class used to get the datasets from Earth Engine
Parameters
----------
point : list
A list of two [x,y] coordinates with the center of the area of interest.
buffer : number
Buffer in meters
startDate : string
stopDate : string
scale: number
Pixel size in meters.
collection: string
Name of each collection.
"""
self.point = point
self.buffer = buffer
self.startDate = startDate
self.stopDate = stopDate
self.scale = scale
self.collection = collection
# Area of Interest
self.geom = ee.Geometry.Point(self.point).buffer(self.buffer)
self.region = self.geom.bounds()
# Image Collection
self.image_collection = ee_collection_specifics.ee_collections(self.collection)
# Bands
self.bands = ee_collection_specifics.ee_bands(self.collection)
# normalized Difference bands and their names
self.normDiff_bands = ee_collection_specifics.normDiff_bands(self.collection)
self.normDiff_bands_names = ee_collection_specifics.normDiff_bands_names(self.collection)