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Explore TFA graphs
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Explore TFA graphs
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// This code allows the reader to investigate the effects of topography
// and vegetation on the anomalies and LSTcont.
var CFSV2_TFA = ee.Image("users/shilosh/CFSv2_Daily_LST_TFA"),
MODIS_TFA = ee.Image("users/shilosh/MODIS_Daily_LST_TFA"),
LST_Cont = ee.Image("users/shilosh/MODIS_Continuous_LST_Daily_2018");
var firstDay = '2018-01-01';
var lastDay = '2019-01-01';
var Temperature_Band = 'LST_Daily_Mean';
var Day_Temperature_Band = 'LST_Day_1km';
var Night_Temperature_Band = 'LST_Night_1km';
var collection = 'MODIS/006/MYD11A1';
var geometry = ee.Geometry.Rectangle([33.2,29.0,36.6,34.0]);
var geometry_json = geometry.toGeoJSON();
// Zoom to a location.
Map.setCenter(34.80, 31.25, 9); // Center on Beer-Sheva
// Reverse the images into imageCollections
var MODIS_TFA_ic = ee.ImageCollection(MODIS_TFA.bandNames().map(function(name) {
return MODIS_TFA.select([ee.Algorithms.String(name)],['mod']).set('system:DOY', ee.Number.parse(ee.Algorithms.String(name).replace('TFA','0').replace('_','')).add(1)) }))
var CFSV2_TFA_ic = ee.ImageCollection(CFSV2_TFA.bandNames().map(function(name) {
return CFSV2_TFA.select([ee.Algorithms.String(name)],['cfs']).set('system:DOY', ee.Number.parse(ee.Algorithms.String(name).replace('TFA','0').replace('_','')).add(1)) }))
var Cont_LST = ee.ImageCollection(LST_Cont.bandNames().map(function(name) {
return LST_Cont.select([ee.Algorithms.String(name)],['contLst']).set('system:time_start', ee.Date(ee.Algorithms.String(name).replace('day_',''))) }))
print('Cont_LST = ', Cont_LST)
//convert Kelvin to Celsius
var MODIS_k2celsius = function(image) {
return image.updateMask(image.select(Day_Temperature_Band))
.updateMask(image.select(Night_Temperature_Band))
.reduce( ee.Reducer.mean()).rename(Temperature_Band)
.multiply(ee.Image(0.02))
.subtract(ee.Image(273.15)) //convert Kelvin to Celsius
.set('system:time_start', image.get('system:time_start'));
};
var CFSV2_k2celsius = function(image) {
return image.subtract(ee.Image(273.15))
.set('system:time_start', image.get('system:time_start'));
};
// Add a property with doy to the colection.
function createDoyProperty(img) {
var d = ee.Date(img.get('system:time_start'))
.getRelative('day', 'year')
.add(1);
return img.set('system:DOY', d);
}
// var MODIS_Daily = ee.ImageCollection(ee.List.sequence(1, 365).map(function (doy){
// return ee.ImageCollection(collection)
// .select(Day_Temperature_Band, Night_Temperature_Band)
// .filter(ee.Filter.calendarRange(doy, doy, 'day_of_year'))
// .map(MODIS_k2celsius)
// .mean()
// .set('system:DOY',doy)
// }))
var MODIS_Daily = ee.ImageCollection(collection)
.filterDate(firstDay, lastDay)
.select('LST_Day_1km', 'LST_Night_1km')
// .map(function (image){return image.reduce(ee.Reducer.mean())
// .set('system:time_start', image.get('system:time_start'))})
// .map(addTimeStampToMODIS)
.map(MODIS_k2celsius)
.map(createDoyProperty)
print('MODIS_Daily = ', MODIS_Daily)
var CFSV2_Daily = ee.ImageCollection(ee.List.sequence(1, 365).map(function (doy){
return ee.ImageCollection('NOAA/CFSV2/FOR6H')
.filterDate(firstDay, lastDay)
.select('Maximum_temperature_height_above_ground_6_Hour_Interval')
.filter(ee.Filter.calendarRange(doy, doy, 'day_of_year'))
.map(CFSV2_k2celsius)
.mean()
.set('system:DOY',doy)
}))
print('CFSV2_Daily = ', CFSV2_Daily)
// Use an equals filter to specify how the collections match.
var Filter = ee.Filter.equals({
leftField: 'system:DOY',
rightField: 'system:DOY'
});
// Define the join.
var innerJoin = ee.Join.inner('primary', 'secondary');
// Join CFSV2 with CFSV2_TFA_ic by DOY
// Apply the join.
var CFSV2_JoinInner = innerJoin.apply(CFSV2_Daily, CFSV2_TFA_ic, Filter);
// Calculate CFSv2 anomalies
CFSV2_Daily = CFSV2_JoinInner.map(function(f) {
var CFSv2_TFA = ee.Image(f.get('secondary'));
var CFSv2_Daily_mean = ee.Image(f.get('primary'));
return CFSv2_Daily_mean.addBands(CFSv2_TFA.rename('CFSv2_TFA'));
})
// Join CFSV2 with MODIS_TFA_ic by DOY
// Apply the join.
var CFSV2_JoinInner = innerJoin.apply(CFSV2_Daily, MODIS_TFA_ic, Filter);
// Calculate CFSv2 anomalies
CFSV2_Daily = CFSV2_JoinInner.map(function(f) {
var Modis_TFA = ee.Image(f.get('secondary'));
var CFSv2 = ee.Image(f.get('primary'));
return CFSv2.addBands(Modis_TFA.rename('MODIS_TFA'));
})
// Join all with MODIS_Daily by DOY
// Apply the join.
var CFSV2_JoinInner = innerJoin.apply(CFSV2_Daily, MODIS_Daily, Filter);
// Calculate CFSv2 anomalies
CFSV2_Daily = CFSV2_JoinInner.map(function(f) {
var Modis_daily_mean = ee.Image(f.get('secondary'));
var CFSv2 = ee.Image(f.get('primary'));
return CFSv2.addBands(Modis_daily_mean.rename('MODIS_Daily'));
})
var timeFromDOY_LST = function(image) {
var days = ee.Number(image.get('system:DOY'))
// var d = ee.Date('2010-01-01')
var d = ee.Date(firstDay)
return image
.set('system:time_start', d.advance(days.subtract(1), 'day'));
};
CFSV2_Daily = CFSV2_Daily.map(timeFromDOY_LST)
print('CFSV2_Daily = ', CFSV2_Daily)
// Use an equals filter to specify how the collections match.
var Filter = ee.Filter.equals({
leftField: 'system:time_start',
rightField: 'system:time_start'
});
// Join all with Cont_LST by system:time_start
// Apply the join.
var CFSV2_JoinInner = innerJoin.apply(CFSV2_Daily, Cont_LST, Filter);
// Calculate CFSv2 anomalies
CFSV2_Daily = CFSV2_JoinInner.map(function(f) {
var cont_lst = ee.Image(f.get('secondary'));
var CFSv2 = ee.Image(f.get('primary'));
return CFSv2.addBands(cont_lst);
})
print('CFSV2_Daily = ', CFSV2_Daily)
var scale = ee.Image('MODIS/006/MYD11A1/2018_01_01').projection().nominalScale().getInfo();
// Map.addLayer(ee.Image(MaskedValues.first()).select('con'))
// Map.addLayer(rmse_val)
var panel = ui.Panel();
panel.style().set('width', '300px');
// Create an intro panel with labels.
var intro = ui.Panel([
ui.Label({
value: 'LSTcont Chart Inspector',
style: {fontSize: '20px', fontWeight: 'bold'}
}),
ui.Label('Click a point on the map to inspect 2018 data.')
]);
panel.add(intro);
// Create panels to hold lon/lat values.
var lon = ui.Label();
var lat = ui.Label();
panel.add(ui.Panel([lon, lat], ui.Panel.Layout.flow('horizontal')));
// Register a callback on the default map to be invoked when the map is clicked.
Map.onClick(function(coords) {
// Update the lon/lat panel with values from the click event.
lon.setValue('lon: ' + coords.lon.toFixed(2)),
lat.setValue('lat: ' + coords.lat.toFixed(2));
// Add a red dot for the point clicked on.
var point = ee.Geometry.Point(coords.lon, coords.lat);
var dot = ui.Map.Layer(point, {color: 'FF0000'});
Map.layers().set(1, dot);
// Create an LST TFA chart.
// var series = ui.Chart.image.doySeriesByYear(
// LST, Temperature_Band, geometry, ee.Reducer.mean(), 500);
var series = ui.Chart.image.series(
CFSV2_Daily, point, ee.Reducer.mean(), 500);
series.setOptions({
title: 'LST & ContinuousLST',
vAxis: {title: 'Celsius'},
hAxis: {title: 'Day of year', gridlines: {count: 7}},
});
panel.widgets().set(2, series);
});
Map.style().set('cursor', 'crosshair');
// Add the panel to the ui.root.
ui.root.insert(0, panel);