diff --git a/satpredict.py b/satpredict.py
new file mode 100644
index 0000000..bb918dc
--- /dev/null
+++ b/satpredict.py
@@ -0,0 +1,90 @@
+import predict
+import json
+import sys
+import datetime
+
+frequencies = {'NOAA-15':'137.620M', 'NOAA-18':'137.9125M', 'NOAA-19':'137.10M', 'METEOR-M2':'137.925M', 'ISS':'145.80M' } #Meteor M2 is also on 137.1M
+
+tle_data = json.load(open('sat_tle.txt'))
+default_predictions = 1
+default_min_elevation = 30
+suppress_low_passes = False
+
+
+pass_elevation = default_min_elevation
+if( len(sys.argv) > 1 ):
+	pass_elevation = int(sys.argv[1])
+
+if( pass_elevation == '' ):
+	pass_elevation = default_min_elevation
+
+predictions = default_predictions
+if( len(sys.argv) > 2):
+	predictions = int(sys.argv[2])
+
+if( predictions == '' ):
+	predictions = default_predictions
+
+if( len(sys.argv) > 3 ):
+	suppress_low_passes = True
+
+def convert_time( unixtime ):
+    return datetime.datetime.fromtimestamp(
+        int(unixtime)
+    ).strftime('%H:%M %Y-%m-%d')
+
+def convert_time_short( unixtime ):
+    return datetime.datetime.fromtimestamp(
+        int(unixtime)
+    ).strftime('%M')
+
+def get_sat( sat ):
+	return sat + '\n' + tle_data[sat]
+
+qth = (49.32, 123.42, 49)  # lat (N), long (W), alt (meters)
+qth_nw = (51.32, 125.42, 49)
+qth_se = (47.32, 121.42, 49)
+
+data = {}
+
+for sat, freq in frequencies.iteritems():
+
+	name = predict.observe(get_sat(sat), qth)['name'].strip()
+	t = predict.transits(get_sat(sat), qth)
+	t_nw = predict.transits(get_sat(sat), qth_nw)
+	t_se = predict.transits(get_sat(sat), qth_se)
+
+	count = 0
+	while ( count < predictions ):
+		p = t.next()
+		p_nw = t_nw.next()
+		p_se = t_se.next()
+
+		while (p.peak()['elevation'] < default_min_elevation):
+			p = t.next()
+			p_nw = t_nw.next()
+			p_se = t_se.next()
+			if( not suppress_low_passes ):
+				print name, "pass too low, recalculating"
+
+		data[name] = {}
+		data[name]['frequency'] = freq
+		data[name]['start_unix'] = p.start
+		data[name]['start'] = convert_time(data[name]['start_unix'])
+		data[name]['duration_seconds'] = int(p.duration())
+		data[name]['duration_minutes'] = convert_time_short(data[name]['duration_seconds'])
+		data[name]['elevation'] = p.peak()['elevation']
+
+		data[name]['direction'] = 'S' #Assume northbound
+		if( int(p_nw.start) > int(p.start) and int(p.start) > int(p_se.start) ): #This is the direction the satellite is travelling TO, not from.
+
+			data[name]['direction'] = 'N'	
+
+		print name, 'next pass at:', data[name]['start'], 'at', data[name]['elevation'], 'degrees.', data[name]['direction'] + '-bound'
+		count = count + 1
+
+import json
+
+with open('satpredict.txt', 'w') as fp:
+    json.dump(data, fp, indent=4)
+
diff --git a/sats.sh b/sats.sh
new file mode 100644
index 0000000..90ca7cb
--- /dev/null
+++ b/sats.sh
@@ -0,0 +1,26 @@
+#!/bin/bash
+
+SAT=$1
+TIEMSTAMP=$(date +%s)
+FILENAME="sat_schedules/schd-${SAT}-${TIEMSTAMP}"
+
+rm reschd-$SAT.txt
+
+echo "#!/bin/bash" > $FILENAME
+
+echo 'bash wol_fastserv.sh' >> $FILENAME
+
+python satpredict.py 25 1 true
+python satschedule.py $SAT >> $FILENAME
+
+echo "sleep 30" >> $FILENAME
+echo "echo bash sats.sh ${SAT} > reschd-${SAT}.txt" >> $FILENAME
+echo "at now + 30 minutes -q z -M -f reschd-${SAT}.txt" >> $FILENAME
+
+echo "rm ${FILENAME}" >> $FILENAME
+
+TIEM=$(<"${SAT}_sched.txt")
+echo $TIEM
+
+at -M -m $TIEM < $FILENAME
+rm "${SAT}_sched.txt"
diff --git a/satschedule.py b/satschedule.py
new file mode 100644
index 0000000..4c90059
--- /dev/null
+++ b/satschedule.py
@@ -0,0 +1,104 @@
+import array
+import json
+import sys
+import time
+import datetime
+
+
+ppmshift = '1'			
+name = sys.argv[1].upper()
+input_sample_rate = '48000'
+output_sample_rate = '11025'
+gain = '40'
+gain_lower_pass = gain
+gain_lower_pass_requirement = 40
+
+data = json.load(open('satpredict.txt'))
+
+af_folder = '/tmp/'
+output_folder = '~/sat_output/'
+
+wxtoimg_options = ['HVCT', 'MCIR', 'NO'] #['ZA', 'HVCT', 'therm']
+
+rtl_fm_options = {	'-f':data[name]['frequency'],
+			'-M':'fm',
+			'-p':ppmshift,
+			'-F':'9',
+			'-s':input_sample_rate,
+			'-g':gain,
+			'-E': 'dc',
+			'-A': 'fast' }
+
+rtl_power_options = {	'-f':'137M:138M:4k',
+			'-g':gain,
+			'-i':'1s',
+			'-e':str(data[name]['duration_seconds']) + 's',
+			'-p':ppmshift,
+			'-c':'0.2' }
+
+sox_options = [		'-b16',
+			'-c1',
+			'-V1',
+			'-es',
+			'-r ' + input_sample_rate,
+			'-t raw' ]
+
+def filename(satname, part):
+	if(part != ''):
+		return satname + '_' + part + '.wav'
+	return satname + '.wav'
+
+def datestamp( unixtime ):
+    return datetime.datetime.fromtimestamp(
+        int(unixtime)
+    ).strftime('%Y%m%d-%H%M_')
+
+def convert_time( unixtime ):
+    return datetime.datetime.fromtimestamp(
+        int(unixtime)
+    ).strftime('%H:%M %Y-%m-%d')
+
+if( data[name]['elevation'] < gain_lower_pass_requirement ):
+	gain = gain_lower_pass
+
+timeoutstr = 'timeout ' + str(data[name]['duration_seconds'])
+filename = datestamp(data[name]['start_unix']) + name + '_' + data[name]['direction'] + str(int(data[name]['elevation']))
+
+if( len(wxtoimg_options) == 0 ):
+
+	rtlpower = 'rtl_power -f 137M:138M:4k -g ' + gain + ' -i 1s -e ' + str(data[name]['duration_seconds']) + 's -p ' + ppmshift + ' -c 0.2 ' + output_folder + filename + '.csv'
+	heatmap = 'python heatmap.py ' + output_folder + name + '_' + data[name]['direction'] + str(int(data[name]['elevation'])) + '_' + timestamp + '.csv ' + output_folder + name + '_' + data[name]['direction'] + str(int(data[name]['elevation'])) + '_' + timestamp + '.png'
+
+	print timeoutstr, rtlpower
+	print heatmap
+	print 'bash ftp.sh ' + output_folder + name + '_' + data[name]['direction'] + str(int(data[name]['elevation'])) + '_' + timestamp + '.png'
+
+else:
+
+	timeoutstr = 'timeout ' + str(data[name]['duration_seconds'])
+
+	rtlstr = 'rtl_fm'
+	for k, v in rtl_fm_options.iteritems():
+		rtlstr = rtlstr + ' ' + k + ' ' + v
+
+	soxstr = 'sox'
+	for v in sox_options:
+		soxstr = soxstr + ' ' + v
+
+	print timeoutstr, rtlstr, af_folder + filename + '.raw'
+	print soxstr, af_folder + filename + '.raw', af_folder + filename + '.wav', 'rate 11025'
+	print 'touch -r', af_folder + filename + '.raw', af_folder + filename + '.wav'
+	print 'bash', 'fastserv_sat_render.sh', af_folder + filename + '.wav', data[name]['start_unix']+60
+		
+f = open(name + '_sched.txt', 'w')
+f.write(convert_time(data[name]['start_unix']))
+
+#for opt in wxtoimg_options:
+#	filename = datestamp(data[name]['start_unix']) + name + '_' + data[name]['direction'] + str(int(data[name]['elevation']))
+#
+#	print 'wxtoimg -' + data[name]['direction'] + ' -e', opt, af_folder + filename + '.wav', output_folder + filename + '_' + opt + '.png'
+#
+#	if( data[name]['direction'] == "S" ): #southbound images are upside down
+#		print 'convert', output_folder + filename + '_' + opt + '.png', '-rotate 180', output_folder + filename + '_' + opt + '.png'
+#
+#	print 'bash ftp.sh', output_folder + filename + '_' + opt + '.png'