-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathGEE-OneMonthMosaic.js
458 lines (384 loc) · 16.4 KB
/
GEE-OneMonthMosaic.js
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
/*=============================================================================
==== 15.4.2 =====
Natalia Verde & Vangelis Fotakidis AUTH, 2023
BRIEF DESCRIPTION:
This GEE script creates montlhy mosaics from Sentinel-2 imagery for Greece.
*/
var GR_bounds = ee.Image('users/n-verde/PhD_1542/GR_2km_buff_4326');
// Configuration -----------------------------------------------
var min_year = 2018;
var min_month = 10;
var max_month = 11;
var min_date = "2018-10-01";
var max_date = "2018-12-01";
var intermediateDate = "2018-11-01"; // only for naming the exported bands
var allBands = ['B2','B3','B4','B5','B6','B7','B8','B8A','B11','B12'];
// var roi = geometry;
var roi = GR_bounds.geometry();
var exp = false; // whether to export also in Drive or only Assets
var descr = 'MedianMonths10-11_GR_2018'; // output image description
// ----------------------------------------------------------
// START SETUP
/////////////////////////////////////////////////////////////
//These functions correct the BRDF effect of a S2 image, surface reflectance product
//Source: https://github.com/ndminhhus/geeguide/blob/master/04.topo_correction.md
//(Minh et al., 2020), https://doi.org/10.3390/rs12020281
//Adapted from: Poortinga et al.,2018 https://doi.org/10.3390/rs1107083
//Global variables
var PI = ee.Number(3.14159265359);
var MAX_SATELLITE_ZENITH = 7.5;
var MAX_DISTANCE = 1000000;
var UPPER_LEFT = 0;
var LOWER_LEFT = 1;
var LOWER_RIGHT = 2;
var UPPER_RIGHT = 3;
var bandIn = allBands;
var bandOut = ['blue','green','red','re1','re2','re3','nir','re4','swir1','swir2'];
function applyBRDF_S2(image){
image = image.select(bandIn,bandOut);
var date = image.date();
var footprint = ee.List(image.geometry().bounds().bounds().coordinates().get(0));
var angles = getsunAngles(date, footprint);
var sunAz = angles[0];
var sunZen = angles[1];
var viewAz = azimuth(footprint);
var viewZen = zenith(footprint);
var kval = _kvol(sunAz, sunZen, viewAz, viewZen);
var kvol = kval[0];
var kvol0 = kval[1];
var result = _applyS2(image, kvol.multiply(PI), kvol0.multiply(PI));
return result.select(bandOut,bandIn);
}
function getsunAngles(date, footprint){
var jdp = date.getFraction('year');
var seconds_in_hour = 3600;
var hourGMT = ee.Number(date.getRelative('second', 'day')).divide(seconds_in_hour);
var latRad = ee.Image.pixelLonLat().select('latitude').multiply(PI.divide(180));
var longDeg = ee.Image.pixelLonLat().select('longitude');
// Julian day proportion in radians
var jdpr = jdp.multiply(PI).multiply(2);
var a = ee.List([0.000075, 0.001868, 0.032077, 0.014615, 0.040849]);
var meanSolarTime = longDeg.divide(15.0).add(ee.Number(hourGMT));
var localSolarDiff1 = value(a, 0)
.add(value(a, 1).multiply(jdpr.cos()))
.subtract(value(a, 2).multiply(jdpr.sin()))
.subtract(value(a, 3).multiply(jdpr.multiply(2).cos()))
.subtract(value(a, 4).multiply(jdpr.multiply(2).sin()));
var localSolarDiff2 = localSolarDiff1.multiply(12 * 60);
var localSolarDiff = localSolarDiff2.divide(PI);
var trueSolarTime = meanSolarTime
.add(localSolarDiff.divide(60))
.subtract(12.0);
// Hour as an angle;
var ah = trueSolarTime.multiply(ee.Number(MAX_SATELLITE_ZENITH * 2).multiply(PI.divide(180))) ;
var b = ee.List([0.006918, 0.399912, 0.070257, 0.006758, 0.000907, 0.002697, 0.001480]);
var delta = value(b, 0)
.subtract(value(b, 1).multiply(jdpr.cos()))
.add(value(b, 2).multiply(jdpr.sin()))
.subtract(value(b, 3).multiply(jdpr.multiply(2).cos()))
.add(value(b, 4).multiply(jdpr.multiply(2).sin()))
.subtract(value(b, 5).multiply(jdpr.multiply(3).cos()))
.add(value(b, 6).multiply(jdpr.multiply(3).sin()));
var cosSunZen = latRad.sin().multiply(delta.sin())
.add(latRad.cos().multiply(ah.cos()).multiply(delta.cos()));
var sunZen = cosSunZen.acos();
// sun azimuth from south, turning west
var sinSunAzSW = ah.sin().multiply(delta.cos()).divide(sunZen.sin());
sinSunAzSW = sinSunAzSW.clamp(-1.0, 1.0);
var cosSunAzSW = (latRad.cos().multiply(-1).multiply(delta.sin())
.add(latRad.sin().multiply(delta.cos()).multiply(ah.cos())))
.divide(sunZen.sin());
var sunAzSW = sinSunAzSW.asin();
sunAzSW = where(cosSunAzSW.lte(0), sunAzSW.multiply(-1).add(PI), sunAzSW);
sunAzSW = where(cosSunAzSW.gt(0).and(sinSunAzSW.lte(0)), sunAzSW.add(PI.multiply(2)), sunAzSW);
var sunAz = sunAzSW.add(PI);
// # Keep within [0, 2pi] range
sunAz = where(sunAz.gt(PI.multiply(2)), sunAz.subtract(PI.multiply(2)), sunAz);
var footprint_polygon = ee.Geometry.Polygon(footprint);
sunAz = sunAz.clip(footprint_polygon);
sunAz = sunAz.rename(['sunAz']);
sunZen = sunZen.clip(footprint_polygon).rename(['sunZen']);
return [sunAz, sunZen];
}
function azimuth(footprint){
function x(point){return ee.Number(ee.List(point).get(0))}
function y(point){return ee.Number(ee.List(point).get(1))}
var upperCenter = line_from_coords(footprint, UPPER_LEFT, UPPER_RIGHT).centroid().coordinates();
var lowerCenter = line_from_coords(footprint, LOWER_LEFT, LOWER_RIGHT).centroid().coordinates();
var slope = ((y(lowerCenter)).subtract(y(upperCenter))).divide((x(lowerCenter)).subtract(x(upperCenter)));
var slopePerp = ee.Number(-1).divide(slope);
var azimuthLeft = ee.Image(PI.divide(2).subtract((slopePerp).atan()));
return azimuthLeft.rename(['viewAz']);
}
function zenith(footprint){
var leftLine = line_from_coords(footprint, UPPER_LEFT, LOWER_LEFT);
var rightLine = line_from_coords(footprint, UPPER_RIGHT, LOWER_RIGHT);
var leftDistance = ee.FeatureCollection(leftLine).distance(MAX_DISTANCE);
var rightDistance = ee.FeatureCollection(rightLine).distance(MAX_DISTANCE);
var viewZenith = rightDistance.multiply(ee.Number(MAX_SATELLITE_ZENITH * 2))
.divide(rightDistance.add(leftDistance))
.subtract(ee.Number(MAX_SATELLITE_ZENITH))
.clip(ee.Geometry.Polygon(footprint))
.rename(['viewZen']);
return viewZenith.multiply(PI.divide(180));
}
function _applyS2(image, kvol, kvol0){
var f_iso = 0;
var f_geo = 0;
var f_vol = 0;
var blue = _correct_band(image, 'blue', kvol, kvol0, f_iso=0.0774, f_geo=0.0079, f_vol=0.0372);
var green = _correct_band(image, 'green', kvol, kvol0, f_iso=0.1306, f_geo=0.0178, f_vol=0.0580);
var red = _correct_band(image, 'red', kvol, kvol0, f_iso=0.1690, f_geo=0.0227, f_vol=0.0574);
var re1 = _correct_band(image, 're1', kvol, kvol0, f_iso=0.2085, f_geo=0.0256, f_vol=0.0845);
var re2 = _correct_band(image, 're2', kvol, kvol0, f_iso=0.2316, f_geo=0.0273, f_vol=0.1003);
var re3 = _correct_band(image, 're3', kvol, kvol0, f_iso=0.2599, f_geo=0.0294, f_vol=0.1197);
var nir = _correct_band(image, 'nir', kvol, kvol0, f_iso=0.3093, f_geo=0.0330, f_vol=0.1535);
var re4 = _correct_band(image, 're4', kvol, kvol0, f_iso=0.2907, f_geo=0.0410, f_vol=0.1611);
var swir1 = _correct_band(image, 'swir1', kvol, kvol0, f_iso=0.3430, f_geo=0.0453, f_vol=0.1154);
var swir2 = _correct_band(image, 'swir2', kvol, kvol0, f_iso=0.2658, f_geo=0.0387, f_vol=0.0639);
return image.select([]).addBands([blue, green, red, nir,re1,re2,re3,nir,re4,swir1, swir2]);
}
function _correct_band(image, band_name, kvol, kvol0, f_iso, f_geo, f_vol){
//"""fiso + fvol * kvol + fgeo * kgeo"""
var iso = ee.Image(f_iso);
var geo = ee.Image(f_geo);
var vol = ee.Image(f_vol);
var pred = vol.multiply(kvol).add(geo.multiply(kvol)).add(iso).rename(['pred']);
var pred0 = vol.multiply(kvol0).add(geo.multiply(kvol0)).add(iso).rename(['pred0']);
var cfac = pred0.divide(pred).rename(['cfac']);
var corr = image.select(band_name).multiply(cfac).rename([band_name]);
return corr;
}
function _kvol(sunAz, sunZen, viewAz, viewZen){
//"""Calculate kvol kernel.
//From Lucht et al. 2000
//Phase angle = cos(solar zenith) cos(view zenith) + sin(solar zenith) sin(view zenith) cos(relative azimuth)"""
var relative_azimuth = sunAz.subtract(viewAz).rename(['relAz']);
var pa1 = viewZen.cos().multiply(sunZen.cos());
var pa2 = viewZen.sin().multiply(sunZen.sin()).multiply(relative_azimuth.cos());
var phase_angle1 = pa1.add(pa2);
var phase_angle = phase_angle1.acos();
var p1 = ee.Image(PI.divide(2)).subtract(phase_angle);
var p2 = p1.multiply(phase_angle1);
var p3 = p2.add(phase_angle.sin());
var p4 = sunZen.cos().add(viewZen.cos());
var p5 = ee.Image(PI.divide(4));
var kvol = p3.divide(p4).subtract(p5).rename(['kvol']);
var viewZen0 = ee.Image(0);
var pa10 = viewZen0.cos().multiply(sunZen.cos());
var pa20 = viewZen0.sin().multiply(sunZen.sin()).multiply(relative_azimuth.cos());
var phase_angle10 = pa10.add(pa20);
var phase_angle0 = phase_angle10.acos();
var p10 = ee.Image(PI.divide(2)).subtract(phase_angle0);
var p20 = p10.multiply(phase_angle10);
var p30 = p20.add(phase_angle0.sin());
var p40 = sunZen.cos().add(viewZen0.cos());
var p50 = ee.Image(PI.divide(4));
var kvol0 = p30.divide(p40).subtract(p50).rename(['kvol0']);
return [kvol, kvol0]}
function line_from_coords(coordinates, fromIndex, toIndex){
return ee.Geometry.LineString(ee.List([
coordinates.get(fromIndex),
coordinates.get(toIndex)]));
}
function where(condition, trueValue, falseValue){
var trueMasked = trueValue.mask(condition);
var falseMasked = falseValue.mask(invertMask(condition));
return trueMasked.unmask(falseMasked);
}
function invertMask(mask){
return mask.multiply(-1).add(1);
}
function value(list,index){
return ee.Number(list.get(index));
}
var dt = require('users/fitoprincipe/geetools:decision_tree');
function hollstein_S2_shadow(img) {
// Ref: https://github.com/fitoprincipe/geetools-code-editor/blob/master/cloud_masks
var difference = function (a, b) {
var wrap = function (img) {
return img.select(a).subtract(img.select(b));
};
return wrap;
};
var ratio = function (a, b) {
var wrap = function (img) {
return img.select(a).divide(img.select(b));
};
return wrap;
};
//1
var b3 = img.select('B3').lt(3190);
//2
var b8a = img.select('B8A').lt(1660);
var r511 = ratio('B5', 'B11')(img).lt(4.33);
//3
var b3_3 = img.select('B3').lt(5250);
var s37 = difference('B3', 'B7')(img).lt(270);
//4
var r15 = ratio('B1', 'B5')(img).lt(1.184);
var s911 = difference('B9', 'B11')(img).lt(210);
var s911_2 = difference('B9', 'B11')(img).lt(-970);
var dtf = dt.binary({
1: b3,
21: b8a,
22: r511,
31: s37,
34: b3_3,
41: s911_2,
42: s911,
46: r15
}, {
'shadow-1': [
[1, 1],
[21, 1],
[31, 1],
[41, 0]
],
'shadow-2': [
[1, 1],
[21, 1],
[31, 0],
[42, 0]
],
'shadow-3': [
[1, 0],
[22, 0],
[34, 1],
[46, 0]
],
}, 'hollstein');
var results = dtf(img);
return img.updateMask(results.select("shadow").not());
}
function get_S2_SR_clean(criterion, maximum_cloud_prob, mode, masked_shadow, percentile) {
// Helper functions
function changeYear(image) {
var newyear = ee.Number(min_year); // change this variable accordingly (must match startDate)
var year = ee.Date(image.get('system:time_start')).get('year');
var month = ee.Date(image.get('system:time_start')).get('month');
var day = ee.Date(image.get('system:time_start')).get('day');
var newdate = ee.Date.fromYMD(newyear,month,day);
var newdatemillis = newdate.millis();
return image.set({"system:time_start": newdatemillis, "GENERATION_TIME":newdatemillis});
}
function maskClouds(img) {
var clouds = ee.Image(img.get('cloud_mask')).select('probability');
var isNotCloud = clouds.lte(maximum_cloud_prob);
return img.addBands(clouds).updateMask(isNotCloud);
}
function maskEdges(s2_img) {
return s2_img.updateMask(
s2_img.select('B8A').mask().updateMask(s2_img.select('B9').mask()));
}
function maskShadow(s2_img) {
return hollstein_S2_shadow(s2_img);
}
// Operations
// -> Import
var S2_SR = ee.ImageCollection("COPERNICUS/S2_SR");
var S2_Clouds = ee.ImageCollection("COPERNICUS/S2_CLOUD_PROBABILITY");
// -> Filtering operations
S2_SR = S2_SR.filter(criterion).map(maskEdges).map(changeYear);
S2_Clouds = S2_Clouds.filter(criterion).map(changeYear);
// -> Join images
var S2_SR_Cloud_Mask = ee.Join.saveFirst('cloud_mask').apply({
primary: S2_SR,
secondary: S2_Clouds,
condition: ee.Filter.equals({
leftField: 'system:index',
rightField: 'system:index'
})
});
// var s2CloudMasked = ee.ImageCollection(S2_SR_Cloud_Mask).map(maskClouds).mosaic();
var s2CloudMasked = ee.ImageCollection(S2_SR_Cloud_Mask).map(maskClouds);
if (masked_shadow) {
s2CloudMasked = s2CloudMasked.map(maskShadow);
}
s2CloudMasked = s2CloudMasked.map(applyBRDF_S2);
return s2CloudMasked;
}
function get_criterion(START_DATE, END_DATE, month_start, month_end, region) {
return (
ee.Filter.and(
ee.Filter.bounds(region),
ee.Filter.date(START_DATE, END_DATE),
ee.Filter.calendarRange(month_start, month_end,'month')
)
);
}
var criterion = get_criterion(min_date, max_date, min_month, max_month, roi);
var MAX_CLOUD_PROBABILITY = 20;
var s2_collection = get_S2_SR_clean(criterion, MAX_CLOUD_PROBABILITY, true);
s2_collection = (
s2_collection
.sort("GENERATION_TIME")
.map(function (image) {
return image.clip(roi);
})
);
// END SETUP
// var comp_p10 = s2_collection.select(allBands).reduce(ee.Reducer.percentile([10])).rename(allBands).mask(GR_bounds).clip(roi);
// var comp_p20 = s2_collection.select(allBands).reduce(ee.Reducer.percentile([20])).rename(allBands).mask(GR_bounds).clip(roi);
// var comp_p30 = s2_collection.select(allBands).reduce(ee.Reducer.percentile([30])).rename(allBands).mask(GR_bounds).clip(roi);
// var comp_p40 = s2_collection.select(allBands).reduce(ee.Reducer.percentile([40])).rename(allBands).mask(GR_bounds).clip(roi);
var comp_p50 = s2_collection.median().select(allBands).mask(GR_bounds).clip(roi);
var visualization = {
min: 100,
max: 2500,
bands: ['B4', 'B3', 'B2'],
};
// print('Perc10 Image' ,comp_p10);
// print('Perc20 Image' ,comp_p20);
// print('Perc30 Image' ,comp_p30);
// print('Perc40 Image' ,comp_p40);
print('Perc50 - Median Image' ,comp_p50);
// Map.addLayer(comp_p10, visualization, 'Perc10 Image ', false);
// Map.addLayer(comp_p20, visualization, 'Perc20 Image ', false);
// Map.addLayer(comp_p30, visualization, 'Perc30 Image ', false);
// Map.addLayer(comp_p40, visualization, 'Perc40 Image ', false);
Map.addLayer(comp_p50, {}, 'Perc50 / Median Image ');
// RENAME BANDS AND ADD DATE
function renameBands(image){
var int = ee.Date(intermediateDate).format('MMdd');
var new_bands = [ (int.cat('B2')), // 1
(int.cat('B3')), // 2
(int.cat('B4')), // 3
(int.cat('B5')), // 4
(int.cat('B6')), // 5
(int.cat('B7')), // 6
(int.cat('B8')), // 7
(int.cat('B8A')), // 8
(int.cat('B11')), // 9
(int.cat('B12'))]; // 10
return image.select(allBands,new_bands);
}
comp_p50 = renameBands(comp_p50);
print('rename bands:', comp_p50)
// add date property in band names
var oldNames = comp_p50.bandNames(); print(oldNames)
var newNamesClient = oldNames.map(function(x) {
var e = ee.String('D').cat(x); return e;
});
comp_p50 = comp_p50.select(oldNames, ee.List(newNamesClient));
print('Image for export:', comp_p50)
// EXPORT ----------
// TO ASSETS ----------
Export.image.toAsset({
image:comp_p50.float(),
description: descr,
scale: 10,
region: roi,
maxPixels: 1e13 //max pixels allowed for download
});
// TO DRIVE ----------
if (exp === true) {
Export.image.toDrive({
image:comp_p50.float(),
description: descr,
folder: 'GEE_output',
scale: 10,
region: roi,
maxPixels: 1e13 //max pixels allowed for download
});
}