def gen_samp_tif(rand_temp):	
	from osgeo import gdal
	from osgeo import osr
	import numpy as np
	import os,sys
	import cv2
	import csv
	
	f_name='TCI.png'
	f_tiff_name = 'TCI.tif'
	n_file = cv2.imread(f_name)
			
	orig_h,orig_w,orig_rgb = n_file.shape
	image_size = (orig_w,orig_h)	
	b_pixels,g_pixels,r_pixels = cv2.split(n_file)
	nx = image_size[0]
	ny = image_size[1]
	xmin,ymin,xmax,ymax = [newfieldminlong, newfieldminlat, newfieldmaxlong, newfieldmaxlat]
	xres = (float(xmax)-float(xmin))/float(nx)
	yres = (float(ymax)-float(ymin))/float(ny)
	xmin = float(xmin)
	ymin = float(ymin)
	xmax = float(xmax)
	ymax = float(ymax)
	xres = float(xres)
	yres = float(yres)
	print('res')
	#print(xres)
	#print(yres)
	geotransform = (xmin,xres,0,ymax,0,-yres)
	
	dst_ds = gdal.GetDriverByName('GTiff').Create(f_tiff_name,ny,nx,3,gdal.GDT_Byte)
	dst_ds.SetGeoTransform(geotransform)
	srs = osr.SpatialReference()
	#srs.ImportFromEPSG(3857)
	srs.ImportFromEPSG(4326)
	dst_ds.SetProjection(srs.ExportToWkt())
	dst_ds.GetRasterBand(1).WriteArray(r_pixels)
	dst_ds.GetRasterBand(2).WriteArray(g_pixels)
	dst_ds.GetRasterBand(3).WriteArray(b_pixels)
	dst_ds.FlushCache()
	dst_ds=None