-
Notifications
You must be signed in to change notification settings - Fork 0
/
script.js
330 lines (265 loc) · 9.13 KB
/
script.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
// Area of Interest
var admin = ee.FeatureCollection('FAO/GAUL/2015/level2');
var filter = ee.Filter.inList('ADM2_NAME',['Kota Tangerang']);
var area = admin.filter(filter);
var aoi = area;
var image1 = ee.Image('LANDSAT/LC08/C01/T1/LC08_122064_20131012'); // 2013-10-12
var image2 = ee.Image('LANDSAT/LC08/C01/T1/LC08_122064_20210730'); // 2021-07-30
// Palette
var NDVI_Palette = ['white', 'green'];
var NDBI_Palette = ['white', 'red'];
var BUI_Palette = ['white', 'gold'];
var LST_Palette = ['green', 'yellow', 'red'];
var UHI_Palette = ['green', 'yellow', 'red'];
var images = {
'NDVI 2013': getNDVI2013(),
'NDVI 2021': getNDVI2021(),
'NDBI 2013': getNDBI2013(),
'NDBI 2021': getNDBI2021(),
'BUI 2013': getBUI2013(),
'BUI 2021': getBUI2021(),
'LST 2013': getLST2013(),
'LST 2021': getLST2021(),
'UHI 2013': getUHI2013(),
'UHI 2021': getUHI2021(),
};
// Function Image
function getNDVI2013() {
var ndvi1 = image1.expression("(b5 - b4) / (b5 + b4)", {
b5 : image1.select("B5"),
b4 : image1.select("B4")
}).rename("ndvi1").clip(aoi);
return ndvi1.visualize({min: -1, max: 1, palette: NDVI_Palette});
}
function getNDVI2021() {
var ndvi2 = image2.expression("(b5 - b4) / (b5 + b4)", {
b5 : image2.select("B5"),
b4 : image2.select("B4")
}).rename("ndvi2").clip(aoi);
return ndvi2.visualize({min: -1, max: 1, palette: NDVI_Palette});
}
function getNDBI2013() {
var ndbi1 = image1.expression("(b6 - b5) / (b6 + b5)", {
b6 : image1.select("B6"),
b5 : image1.select("B5")
}).rename("ndbi1").clip(aoi);
return ndbi1.visualize({min: -1, max: 1, palette: NDBI_Palette});
}
function getNDBI2021() {
var ndbi2 = image2.expression("(b6 - b5) / (b6 + b5)", {
b6 : image2.select("B6"),
b5 : image2.select("B5")
}).rename("ndbi2").clip(aoi);
return ndbi2.visualize({min: -1, max: 1, palette: NDBI_Palette});
}
function getBUI2013() {
var bui1 = image1.expression("((b6 - b5) / (b6 + b5)) - ((b5 - b4) / (b5 + b4))", {
b6 : image1.select("B6"),
b5 : image1.select("B5"),
b4 : image1.select("B4")
}).rename("bui1").clip(aoi);
return bui1.visualize({min: -1, max: 1, palette: BUI_Palette});
}
function getBUI2021() {
var bui2 = image2.expression("((b6 - b5) / (b6 + b5)) - ((b5 - b4) / (b5 + b4))", {
b6 : image2.select("B6"),
b5 : image2.select("B5"),
b4 : image2.select("B4")
}).rename("bui2").clip(aoi);
return bui2.visualize({min: -1, max: 1, palette: BUI_Palette});
}
function getLST2013() {
var maskL8 = function(image) {
var qa = image.select('BQA');
var mask = qa.bitwiseAnd(1 << 4).eq(0);
return image.updateMask(mask);
}
var dataset1 = ee.ImageCollection("LANDSAT/LC08/C01/T1")
.filterDate('2013-01-01', '2013-12-31')
.filterBounds(aoi)
.map(maskL8)
.select ("B10");
var first = dataset1.first();
var K1 = first.get('K1_CONSTANT_BAND_10');
var K2 = first.get('K2_CONSTANT_BAND_10');
var A = first.get('RADIANCE_ADD_BAND_10');
var M = first.get('RADIANCE_MULT_BAND_10');
var lst1 = dataset1.map(function(img){
var id= img.id();
return img.expression ('((1321.08/(log(774.89/((TIR*0.0003342)+0.1)+1)))-272.15)',{'TIR':img})
.rename('B10')
.copyProperties (img, ['system:time_start'])
});
var lst1mean = lst1.mean().clip(aoi);
return lst1mean.visualize({min: 15, max: 35, palette: LST_Palette});
}
function getLST2021() {
var maskL8 = function(image) {
var qa = image.select('BQA');
var mask = qa.bitwiseAnd(1 << 4).eq(0);
return image.updateMask(mask);
}
var dataset2 = ee.ImageCollection("LANDSAT/LC08/C01/T1")
.filterDate('2021-01-01', '2021-12-31')
.filterBounds(aoi)
.map(maskL8)
.select ("B10");
var first = dataset2.first();
var K1 = first.get('K1_CONSTANT_BAND_10');
var K2 = first.get('K2_CONSTANT_BAND_10');
var A = first.get('RADIANCE_ADD_BAND_10');
var M = first.get('RADIANCE_MULT_BAND_10');
var lst2 = dataset2.map(function(img){
var id= img.id();
return img.expression ('((1321.08/(log(774.89/((TIR*0.0003342)+0.1)+1)))-272.15)',{'TIR':img})
.rename('B10')
.copyProperties (img, ['system:time_start'])
});
var lst2mean = lst2.mean().clip(aoi);
return lst2mean.visualize({min: 15, max: 35, palette: LST_Palette});
}
function getUHI2013() {
var maskL8 = function(image) {
var qa = image.select('BQA');
var mask = qa.bitwiseAnd(1 << 4).eq(0);
return image.updateMask(mask);
}
var dataset1 = ee.ImageCollection("LANDSAT/LC08/C01/T1")
.filterDate('2013-01-01', '2013-12-31')
.filterBounds(aoi)
.map(maskL8)
.select ("B10");
var first = dataset1.first();
var K1 = first.get('K1_CONSTANT_BAND_10');
var K2 = first.get('K2_CONSTANT_BAND_10');
var A = first.get('RADIANCE_ADD_BAND_10');
var M = first.get('RADIANCE_MULT_BAND_10');
var lst1 = dataset1.map(function(img){
var id= img.id();
return img.expression ('((1321.08/(log(774.89/((TIR*0.0003342)+0.1)+1)))-272.15)',{'TIR':img})
.rename('B10')
.copyProperties (img, ['system:time_start'])
});
var lst1mean = lst1.mean().clip(aoi);
var lst1_mean = ee.Number(lst1mean.reduceRegion({
reducer: ee.Reducer.mean(),
scale: 30,
geometry: aoi,
maxPixels: 1e9
}).values().get(0));
var lst1_min = ee.Number(lst1mean.reduceRegion({
reducer: ee.Reducer.min(),
scale: 30,
geometry: aoi,
maxPixels: 1e9
}).values().get(0));
var lst1_max = ee.Number(lst1mean.reduceRegion({
reducer: ee.Reducer.max(),
scale: 30,
geometry: aoi,
maxPixels: 1e9
}).values().get(0));
var lst1_stdev = ee.Number(lst1mean.reduceRegion({
reducer: ee.Reducer.stdDev(),
scale: 30,
geometry: aoi,
maxPixels: 1e9
}).values().get(0));
var alpha = lst1_stdev.multiply(0.5);
var miu = lst1_mean.add(alpha);
var UHI1 = lst1mean.select('B10').subtract(miu);
return UHI1.clip(aoi).visualize({min: -10, max: 10, palette: UHI_Palette});
}
function getUHI2021() {
var maskL8 = function(image) {
var qa = image.select('BQA');
var mask = qa.bitwiseAnd(1 << 4).eq(0);
return image.updateMask(mask);
}
var dataset2 = ee.ImageCollection("LANDSAT/LC08/C01/T1")
.filterDate('2021-01-01', '2021-12-31')
.filterBounds(aoi)
.map(maskL8)
.select ("B10");
var first = dataset2.first();
var K1 = first.get('K1_CONSTANT_BAND_10');
var K2 = first.get('K2_CONSTANT_BAND_10');
var A = first.get('RADIANCE_ADD_BAND_10');
var M = first.get('RADIANCE_MULT_BAND_10');
var lst2 = dataset2.map(function(img){
var id= img.id();
return img.expression ('((1321.08/(log(774.89/((TIR*0.0003342)+0.1)+1)))-272.15)',{'TIR':img})
.rename('B10')
.copyProperties (img, ['system:time_start'])
});
var lst2mean = lst2.mean().clip(aoi);
var lst2_mean = ee.Number(lst2mean.reduceRegion({
reducer: ee.Reducer.mean(),
scale: 30,
geometry: aoi,
maxPixels: 1e9
}).values().get(0));
var lst2_min = ee.Number(lst2mean.reduceRegion({
reducer: ee.Reducer.min(),
scale: 30,
geometry: aoi,
maxPixels: 1e9
}).values().get(0));
var lst2_max = ee.Number(lst2mean.reduceRegion({
reducer: ee.Reducer.max(),
scale: 30,
geometry: aoi,
maxPixels: 1e9
}).values().get(0));
var lst2_stdev = ee.Number(lst2mean.reduceRegion({
reducer: ee.Reducer.stdDev(),
scale: 30,
geometry: aoi,
maxPixels: 1e9
}).values().get(0));
var alpha = lst2_stdev.multiply(0.5);
var miu = lst2_mean.add(alpha);
var UHI2 = lst2mean.select('B10').subtract(miu);
return UHI2.clip(aoi).visualize({min: -10, max: 10, palette: UHI_Palette});
}
/*
* Set up the maps and control widgets
*/
// Create the left map, and have it display layer 0.
var leftMap = ui.Map();
leftMap.setControlVisibility(false);
var leftSelector = addLayerSelector(leftMap, 0, 'top-left');
// Create the right map, and have it display layer 1.
var rightMap = ui.Map();
rightMap.setControlVisibility(false);
var rightSelector = addLayerSelector(rightMap, 1, 'top-right');
// Adds a layer selection widget to the given map, to allow users to change
// which image is displayed in the associated map.
function addLayerSelector(mapToChange, defaultValue, position) {
var label = ui.Label('Choose an image to visualize');
// This function changes the given map to show the selected image.
function updateMap(selection) {
mapToChange.layers().set(0, ui.Map.Layer(images[selection]));
}
// Configure a selection dropdown to allow the user to choose between images,
// and set the map to update when a user makes a selection.
var select = ui.Select({items: Object.keys(images), onChange: updateMap});
select.setValue(Object.keys(images)[defaultValue], true);
var controlPanel =
ui.Panel({widgets: [label, select], style: {position: position}});
mapToChange.add(controlPanel);
}
/*
* Tie everything together
*/
// Create a SplitPanel to hold the adjacent, linked maps.
var splitPanel = ui.SplitPanel({
firstPanel: leftMap,
secondPanel: rightMap,
wipe: true,
style: {stretch: 'both'}
});
// Set the SplitPanel as the only thing in the UI root.
ui.root.widgets().reset([splitPanel]);
var linker = ui.Map.Linker([leftMap, rightMap]);
leftMap.setCenter(106.6472, -6.1795, 12);