def find_sar(uid,fieldid,map_fields,latestsensedday,paused,expired, from_date, to_date,CLIENT_ID,CLIENT_SECRET,INSTANCE_ID):
	
	from sentinelhub import WebFeatureService, BBox, CRS, MimeType, CRS, BBox, WmsRequest,DataCollection
	from sentinelhub import get_area_info

	#from sentinelhub import AwsTile
	from sentinelhub import SHConfig
	from oct2py import octave
	from io import BytesIO
	import base64
	from google.cloud import storage
	from oauth2client.service_account import ServiceAccountCredentials
	import os
	import firebase_admin
	from firebase_admin import credentials
	from firebase_admin import db
	from PIL import Image, ImageFilter
	from send_notification import send_notification
	from sendemail import sendemail
	from sen_start_noti import sen_start_noti
	import os.path
	import json
	import scipy
	import PIL
	#from scipy import ndimag
	
	
	#from google.cloud import bigquery
	import datetime
	import time
	#from sentinelhub import AwsTileRequest
	import numpy as np
	#import cv2
	wes1 = 1#print('sasr1')
	aa = 1
	cred = credentials.Certificate('servicekey2.json')

	#client = bigquery.Client().from_service_account_json('servicekey2.json')
	wes1 = 1#print('sasr')
	#map_fields = db.reference('PaidMonitoredFields').child('PMF').child(uid).child(fieldid).get()
	#wes1 = 1#print(map_fields)
	#time.sleep(4)
	field_latitude = map_fields["Coordinates"]["a"]["Latitude"]
	field_longitude = map_fields["Coordinates"]["a"]["Longitude"]
	field_max_lat = map_fields["FieldMaxLat"]
	field_min_lat = map_fields["FieldMinLat"]
	field_max_long = map_fields["FieldMaxLong"]
	field_min_long = map_fields["FieldMinLong"]
	field_area = map_fields["FieldArea"]
	if field_max_lat < field_min_lat:
		temp = field_max_lat
		field_max_lat = field_min_lat
		field_min_lat = temp

	if field_max_long < field_min_long:
		temp = field_max_long
		field_max_long = field_min_long
		field_min_long = temp


        # Initialize the app with a service account, granting admin privileges 
	#firebase_admin.initialize_app(cred, {'databaseURL': 'https://farmbase-b2f7e-31c0c.firebaseio.com/'})
	min_lat = field_min_lat
	max_lat = field_max_lat
	min_long = field_min_long
	max_long = field_max_long
	access_key = 'AKIAIPCM5ZR7FRHMY3MA'
	secret_key = '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'
#	access_key = 'AKIAQZCF7Q5CIN2VIHVL'
#	secret_key = '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'
	#INSTANCE_ID = '954b8f5e-d44e-4f2e-ab87-2e317246fa02'
	#INSTANCE_ID = 'a7153cec-25c9-43bc-8d78-0b8600647ee5'
	config = SHConfig()
	#CLIENT_ID = 'c1a2fa32-6ca2-414a-9cd0-77556891bf88'
	#CLIENT_SECRET = 'bR,4M[f8y?C^dR_n]1i1>:g~P@*JXwl]^tciiIN/'
#	CLIENT_ID = 'ebd1003f-b189-4f4e-9e29-5e56fe0fc343'
#	CLIENT_SECRET = 'A[W3>BVZk-RNcYko1N9%[da$F*(ahDv)0(|irX8&'
	if CLIENT_ID and CLIENT_SECRET:
		config.sh_client_id = CLIENT_ID
		config.sh_client_secret = CLIENT_SECRET
		config.instance_id = INSTANCE_ID
#	if INSTANCE_ID:
#		config = SHConfig()
#		config.instance_id = INSTANCE_ID
#	else:
#		config = None
#	INSTANCE_ID = 'e16a1fed-63e3-4de9-8365-117635a744ca'
  # In case you put instance ID into cofniguration file you can leave this unchanged
	#img_width = abs(round((max_lat-min_lat)*111*1000/10))
	img_width = abs(round((max_lat-min_lat)*111*1000/10))
	if img_width >= 1100:
		img_width = 1100
	elif img_width < 100:
		img_width = 100
	wes1 = 1#print('img_width')
	wes1 = 1#print(img_width)

	search_bbox = BBox(bbox=[min_long,min_lat,max_long,max_lat], crs=CRS.WGS84)
	#search_bbox = BBox(bbox=[32.64358939614938,35.23309160023928,32.65433485229119,35.2399842068553], crs=CRS.WGS84)
	x = datetime.datetime.now()
	current_month = x.month
	current_year = x.year
	current_date = x.day
	current_date = current_date
	current_date = current_date
	start_year = current_year
	if current_date < 15 and current_month>1:
		if latestsensedday == 0:
			start_date = 31-current_date - 15
		else:
			start_date = 31-current_date -14
		start_month = current_month-1
		start_year = current_year
	elif current_date <15 and current_month ==1:
		if latestsensedday == 0:
			start_date = 31-current_date - 15
		else:
			start_date = 31-current_date - 14
		start_month = 12
		start_year = start_year-1
	else:
		if latestsensedday == 0:
			start_date = current_date-15
		else:
			start_date = current_date-14
		start_month = current_month
		start_year = current_year
	if start_date == 0:
		start_date = 1
	if current_date == 0:
		current_date = 1
	if current_month < 10:
		current_month = "0"+str(current_month)
	else:
		current_month = str(current_month)
	if start_month < 10:
		start_month = "0"+str(start_month)
	else:
		start_month = str(start_month)
	if current_date < 10:
		current_date = "0"+str(current_date)
	else:
		current_date = str(current_date)
	if start_date < 10:
		start_date = "0"+str(start_date)
	else:
		start_date = str(start_date)
	start_year = str(start_year)
	if from_date == None:
		from_date = start_year+'-'+start_month+'-'+str(start_date)
		to_date = str(current_year)+'-'+current_month+'-'+str(current_date)
		l_date = str(current_year)+current_month+str(current_date)
		from_date = from_date+'T00:00:00'
		to_date = to_date+'T23:59:59'
	else:
		l_date = str(current_year)+current_month+str(current_date)
#	from_date = '2020-11-25T00:00:00'
#	to_date = '2020-11-30T23:59:59'
#	from_date = '2020-10-05T00:00:00'
#	to_date = '2020-07-07T23:59:59'
	wes1 = 1#print(from_date)
	wes1 = 1#print(to_date)
	search_time_interval = (from_date, to_date)
	wes1 = 1#print(search_time_interval)
	tile_num = 0
	
	wfs_iterator = WebFeatureService(search_bbox,search_time_interval,data_collection=DataCollection.SENTINEL1_IW,maxcc=100.0,config=config)
	for tile_info in wfs_iterator:
		wes1 = 1#print(tile_info)
		temp_tile = tile_info
		geom = temp_tile["geometry"]
		coords = geom["coordinates"]
		new_coords = coords[0][0]
		coord_num = 0
		wes1 = 1#print('coo')
		wes1 = 1#print(new_coords)
		coord_len = len(new_coords)
		wes1 = 1#print(coord_len)
		coord_iter = 0
		west_lons = []
		east_lons = []
		north_lats = []
		south_lats = []
		all_lons = []
		for kk in new_coords:
			latlng = new_coords[coord_iter]
			longitude = latlng[0]
			all_lons.append(longitude)
			if coord_iter<2:
				
				longitude = latlng[0]
				west_lons.append(longitude)
				
			elif coord_iter>1 and coord_iter<4:
				longitude = latlng[0]
				east_lons.append(longitude)
			if coord_iter ==0 or coord_iter==3:
				latitude = latlng[1]
				north_lats.append(latitude)
			elif coord_iter ==1 or coord_iter==2:
				latitude = latlng[1]
				south_lats.append(latitude)
			coord_iter = coord_iter+1
		all_lons.sort()
		all_lons = np.unique(all_lons)
		wes1 = 1#print('all_lons')
		wes1 = 1#print(all_lons)
		west_lons = []
		east_lons = []
		west_lons.append(all_lons[0])
		west_lons.append(all_lons[1])
		east_lons.append(all_lons[(len(all_lons)-2)])
		east_lons.append(all_lons[(len(all_lons)-1)])
		
		wes1 = 1#print(west_lons)
		wes1 = 1#print(east_lons)
		wes1 = 1#print(north_lats)
		wes1 = 1#print(south_lats)
		west_lon = min(west_lons)
		east_lon = max(east_lons)
		min_east_lon = min(east_lons)
		north_lat = max(north_lats)
		south_lat = min(south_lats)
		if min_east_lon>max_long:
			tile_id = tile_info["properties"]["id"]
			temp_map_obj = {}
			A = new_coords[0]
			A_lat = A[1]
			A_long = A[0]
			B = new_coords[1]
			B_lat = B[1]
			B_long = B[0]
			C = new_coords[2]
			C_lat = C[1]
			C_long = C[0]
			D = new_coords[3]
			D_lat = D[1]
			D_long = D[0]
			temp_map_obj["A_lat"] = A_lat
			temp_map_obj["A_long"] = A_long
			temp_map_obj["B_lat"] = B_lat
			temp_map_obj["B_long"] = B_long
			temp_map_obj["C_lat"] =C_lat
			temp_map_obj["C_long"]=C_long
			temp_map_obj["D_lat"] = D_lat
			temp_map_obj["D_long"]=D_long
			temp_map_obj["TileMaxLat"]=north_lat
			temp_map_obj["TileMinLat"]=south_lat
			temp_map_obj["TileMaxLong"]=west_lon
			temp_map_obj["TileMinLong"]=east_lon
			temp_map_obj["FieldMaxLat"]=field_max_lat
			temp_map_obj["FieldMinLat"]=field_min_lat
			temp_map_obj["FieldMaxLong"]=field_max_long
			temp_map_obj["FieldMinLong"]=field_min_long
			temp_map_obj["FieldArea"]=field_area
			temp_map_obj["UID"]=uid
			
			temp_map_obj["cloud_cover"]=0

		#coord_iter = coord_iter+1
			wes1 = 1#print('tileID')
			wes1 = 1#print(tile_id)
				
			tile_id = tile_info["properties"]["id"]
			
			temp_map_obj["MGRS"]="sample"
			
			latest_date = tile_info["properties"]["date"]
			latest_date = latest_date[0:10]
			latest_date = latest_date.replace("-","")
			temp_map_obj["LatestDay"]=latest_date
			s1_request = WmsRequest(data_collection=DataCollection.SENTINEL1_IW,layer='RVI-NEW',bbox=search_bbox,time=tile_info["properties"]["date"],width=img_width,config=config)
			s1_data = s1_request.get_data()
			
			s1_request_sm = WmsRequest(data_collection=DataCollection.SENTINEL1_IW,layer='RSM',bbox=search_bbox,time=tile_info["properties"]["date"],width=img_width,config=config)
			s1_data_sm = s1_request_sm.get_data()
			if int(latest_date)>int(latestsensedday) and paused == 0 and expired ==0:
				file_name= uid+ '/' + fieldid +'/rvi.png'
				file_sm = uid +'/' + fieldid + '/rsm.png'
				#file_name2= uid+'/rvi2.png'
				#cv2.imwrite(file_name,s1_data[0])					
				im = PIL.Image.fromarray(s1_data[-1],"L")
				im_sm = PIL.Image.fromarray(s1_data_sm[-1],"L")
				#im = s1_data[-1]
				isdir = os.path.isdir(uid)
				if isdir != True:
					os.mkdir(uid)
				im_sm.save(file_sm)
				im.save(file_name)
				#im.save(file_name2)
				#cv2.imwrite(file_name,im)
			return temp_map_obj
	temp_map_obj = {}
	temp_map_obj["TileMaxLat"]="NA"
	temp_map_obj["TileMinLat"]="NA"
	temp_map_obj["TileMaxLong"]="NA"
	temp_map_obj["TileMinLong"]="NA"
	temp_map_obj["FieldMaxLat"]=field_max_lat
	temp_map_obj["FieldMinLat"]=field_min_lat
	temp_map_obj["FieldMaxLong"]=field_max_long
	temp_map_obj["FieldMinLong"]=field_min_long
	temp_map_obj["FieldArea"]=field_area
	temp_map_obj["UID"]=uid
	try:
		temp_map_obj["LatestDay"]=latest_date
	except:
		temp_map_obj["LatestDay"]=l_date
	temp_map_obj["MGRS"]="NotA"
	temp_map_obj["cloud_cover"]="NA"

	return temp_map_obj