-
Notifications
You must be signed in to change notification settings - Fork 9
/
L9ToL8.js
291 lines (239 loc) · 9.83 KB
/
L9ToL8.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
/*
This part of script would pair the Landsat 9 and Landsat 8 images and export to Google Drive.
It was inspired by Justin Braaten's GEE tutorial:
https://developers.google.com/earth-engine/tutorials/community/landsat-etm-to-oli-harmonization
The batch export was done via the tools developed by Rodrigo E. Principe :
https://github.com/fitoprincipe/geetools-code-editor/wiki
Shunan Feng ([email protected])
*/
// Function to get and rename bands of interest from OLI and OLI2.
function renameOli(img) {
return img.select(
['SR_B2', 'SR_B3', 'SR_B4', 'SR_B5', 'SR_B6', 'SR_B7', 'QA_PIXEL', 'QA_RADSAT'],
['BlueL8', 'GreenL8', 'RedL8', 'NIRL8', 'SWIR1L8', 'SWIR2L8', 'QA_PIXEL', 'QA_RADSAT']);
}
function renameOli2(img) {
return img.select(
['SR_B2', 'SR_B3', 'SR_B4', 'SR_B5', 'SR_B6', 'SR_B7', 'QA_PIXEL', 'QA_RADSAT'],
['BlueL9', 'GreenL9', 'RedL9', 'NIRL9', 'SWIR1L9', 'SWIR2L9', 'QA_PIXEL', 'QA_RADSAT']);
}
// This example demonstrates the use of the Landsat 8 Collection 2, Level 2
// QA_PIXEL band (CFMask) to mask unwanted pixels.
function maskL8sr(image) {
// Bit 0 - Fill
// Bit 1 - Dilated Cloud
// Bit 2 - Cirrus
// Bit 3 - Cloud
// Bit 4 - Cloud Shadow
var qaMask = image.select('QA_PIXEL').bitwiseAnd(parseInt('11111', 2)).eq(0);
var saturationMask = image.select('QA_RADSAT').eq(0);
// Apply the scaling factors to the appropriate bands.
var opticalBands = image.select('SR_B.').multiply(0.0000275).add(-0.2);
// var opticalBands = image.select('SR_B.').multiply(0.0000275).add(-0.2);
// var thermalBands = image.select('ST_B.*').multiply(0.00341802).add(149.0);
// Replace the original bands with the scaled ones and apply the masks.
return image.addBands(opticalBands, null, true)
// .addBands(thermalBands, null, true)
.updateMask(qaMask)
.updateMask(saturationMask);
}
// Define function to prepare OLI and OLI2 images.
function prepOli(img) {
var orig = img;
img = maskL8sr(img);
img = renameOli(img);
// img = addNDSIoli(img);
return ee.Image(img.copyProperties(orig, orig.propertyNames()));
}
function prepOli2(img) {
var orig = img;
img = maskL8sr(img);
img = renameOli2(img);
// img = addNDSIoli(img);
return ee.Image(img.copyProperties(orig, orig.propertyNames()));
}
var greenlandmask = ee.Image('OSU/GIMP/2000_ICE_OCEAN_MASK')
.select('ice_mask').eq(1); //'ice_mask', 'ocean_mask'
// var greenlandmask = ee.Image('OSU/GIMP/2000_ICE_OCEAN_MASK')
// .select('ocean_mask').eq(1); //'ice_mask', 'ocean_mask'
// var aoi = /* color: #ffc82d */ee.Geometry.Polygon(
// [[[-36.29516924635421, 83.70737243835941],
// [-51.85180987135421, 82.75597137647488],
// [-61.43188799635421, 81.99879137488564],
// [-74.08813799635422, 78.10103528196419],
// [-70.13305987135422, 75.65372336709613],
// [-61.08032549635421, 75.71891096312955],
// [-52.20337237135421, 60.9795530382023],
// [-43.41430987135421, 58.59235996703347],
// [-38.49243487135421, 64.70478286561182],
// [-19.771731746354217, 69.72271161037442],
// [-15.728762996354217, 76.0828635948066],
// [-15.904544246354217, 79.45091003031243],
// [-10.015872371354217, 81.62328742628017],
// [-26.627200496354217, 83.43179828852398],
// [-31.636966121354217, 83.7553561747887]]]); // whole greenland
var aoi = /* color: #d63000 */ee.Geometry.Polygon(
[[[-75.35327725640606, 78.15797707936824],
[-58.137306661848434, 69.59945512283268],
[-51.82415036596651, 59.897134149764156],
[-42.233465551083604, 59.260337764670496],
[-61.95501079278244, 79.65995314962508]]]); // western greenland
// Display AOI on the map.
Map.centerObject(aoi, 4);
Map.addLayer(aoi, {color: 'f8766d'}, 'AOI');
Map.setOptions('HYBRID');
var date_start = ee.Date.fromYMD(2022, 5, 1);
var date_end = ee.Date.fromYMD(2022, 6, 1);
var colFilter = ee.Filter.and(
ee.Filter.bounds(aoi),
ee.Filter.date(date_start, date_end),
// ee.Filter.calendarRange(5, 5, 'month'),
ee.Filter.lt('CLOUD_COVER', 50)
// ee.Filter.lte('GEOMETRIC_RMSE_MODEL', 30),
// // ee.Filter.gt('SUN_ELEVATION', 5),
// ee.Filter.or(
// ee.Filter.eq('IMAGE_QUALITY', 9),
// ee.Filter.eq('IMAGE_QUALITY_OLI', 9)
// )
);
// var s2colFilter = ee.Filter.and(
// ee.Filter.bounds(aoi),
// ee.Filter.calendarRange(182, 244, 'day_of_year'),
// ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 50)
// );
// var oliCol = ee.ImageCollection("LANDSAT/LC08/C01/T1_TOA")
var oliCol = ee.ImageCollection("LANDSAT/LC08/C02/T1_L2")
.filter(colFilter)
.map(prepOli);
// var etmCol = ee.ImageCollection("LANDSAT/LE07/C01/T1_TOA")
var oli2Col = ee.ImageCollection("LANDSAT/LC09/C02/T1_L2")
.filter(colFilter)
.map(prepOli2);
// var tmCol = ee.ImageCollection('LANDSAT/LT05/C01/T1_SR')
// .filter(colFilter)
// .map(prepEtm);
// var s2Col = ee.ImageCollection('COPERNICUS/S2_SR_HARMONIZED')
// .filter(s2colFilter)
// .map(prepS2);
// var landsatCol = oliCol.merge(etmCol).merge(tmCol);
// var multiSat = landsatCol.merge(s2Col);
// print(landsatCol)
// Difference in days between start and finish
var diff = date_end.difference(date_start, 'day');
// Make a list of all dates
var dayNum = 1; // steps of day number
var range = ee.List.sequence(0, diff.subtract(1), dayNum).map(function(day){return date_start.advance(day,'day')});
// Function for iteration over the range of dates
var day_mosaicsL9 = function(date, newlist) {
// Cast
date = ee.Date(date)
newlist = ee.List(newlist)
// Filter collection between date and the next day
var filtered = oli2Col.filterDate(date, date.advance(dayNum,'day'));
// Make the mosaic
var image = ee.Image(
filtered.median().copyProperties(filtered.first()))
.set({date: date.format('yyyy-MM-dd')})
.set('system:time_start', filtered.first().get('system:time_start'));
// Add the mosaic to a list only if the collection has images
return ee.List(ee.Algorithms.If(filtered.size(), newlist.add(image), newlist));
};
var l9dayCol = ee.ImageCollection(ee.List(range.iterate(day_mosaicsL9, ee.List([]))));
var day_mosaicsL8 = function(date, newlist) {
// Cast
date = ee.Date(date)
newlist = ee.List(newlist)
// Filter collection between date and the next day
var filtered = oliCol.filterDate(date, date.advance(dayNum,'day'));
// Make the mosaic
var image = ee.Image(
filtered.median().copyProperties(filtered.first()))
.set({date: date.format('yyyy-MM-dd')})
.set('system:time_start', filtered.first().get('system:time_start'));
// Add the mosaic to a list only if the collection has images
return ee.List(ee.Algorithms.If(filtered.size(), newlist.add(image), newlist));
};
var l8dayCol = ee.ImageCollection(ee.List(range.iterate(day_mosaicsL8, ee.List([]))));
// print(l7dayCol, 'l7dayCol');
// print(l8dayCol, 'l8dayCol');
// Define an allowable time difference: a day in milliseconds.
// https://developers.google.com/earth-engine/guides/joins_save_all
var oneDaysMillis = 1 * 24 * 60 * 60 * 1000;
// Create a time filter to define a match as overlapping timestamps.
var timeFilter = ee.Filter.or(
ee.Filter.maxDifference({
difference: oneDaysMillis,
leftField: 'system:time_start',
rightField: 'system:time_start'
})
// ee.Filter.maxDifference({
// difference: oneDaysMillis,
// leftField: 'system:time_end',
// rightField: 'system:time_start'
// })
);
// Define the join.
var saveFirstJoin = ee.Join.saveFirst({
matchKey: 'timewindow',
ordering: 'system:time_start',
ascending: false
});
// Apply the join.
var landsatDayCol = ee.ImageCollection(saveFirstJoin.apply(l8dayCol, l9dayCol, timeFilter))
.map(function(image) {
return image.addBands(image.get('timewindow'))
.updateMask(greenlandmask.eq(1))
.clip(aoi);
});
// landsatDayCol = landsatDayCol.map(function(image) {
// return image.reduceResolution({
// reducer: ee.Reducer.mean(),
// maxPixels: 400,
// bestEffort: true
// })
// })
// print(landsatDayCol);
// var visPara = {
// min: 0,
// max: 9000,
// band: ['RedL8', 'GreenL8', 'BlueL8']
// };
// Map.addLayer(landsatDayCol.first(), visPara);
var batch = require('users/fitoprincipe/geetools:batch');
// batch export
batch.Download.ImageCollection.toDrive(landsatDayCol.select(['BlueL8', 'BlueL9']), 'landsat',
{scale: 600,
region: aoi,
type: 'double',
name: 'Blue_{system_date}'
});
batch.Download.ImageCollection.toDrive(landsatDayCol.select(['GreenL8', 'GreenL9']), 'landsat',
{scale: 600,
region: aoi,
type: 'double',
name: 'Green_{system_date}'
});
batch.Download.ImageCollection.toDrive(landsatDayCol.select(['RedL8', 'RedL9']), 'landsat',
{scale: 600,
region: aoi,
type: 'double',
name: 'Red_{system_date}'
});
batch.Download.ImageCollection.toDrive(landsatDayCol.select(['NIRL8', 'NIRL9']), 'landsat',
{scale: 600,
region: aoi,
type: 'double',
name: 'NIR_{system_date}'
});
batch.Download.ImageCollection.toDrive(landsatDayCol.select(['SWIR1L8', 'SWIR1L9']), 'landsat',
{scale: 600,
region: aoi,
type: 'double',
name: 'SWIR1_{system_date}'
});
batch.Download.ImageCollection.toDrive(landsatDayCol.select(['SWIR2L8', 'SWIR2L9']), 'landsat',
{scale: 600,
region: aoi,
type: 'double',
name: 'SWIR2_{system_date}'
});