-
Notifications
You must be signed in to change notification settings - Fork 404
/
stats_of_an_image_region.py
79 lines (65 loc) · 3.05 KB
/
stats_of_an_image_region.py
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
# %%
"""
<table class="ee-notebook-buttons" align="left">
<td><a target="_blank" href="https://github.com/giswqs/earthengine-py-notebooks/tree/master/Reducer/stats_of_an_image_region.ipynb"><img width=32px src="https://www.tensorflow.org/images/GitHub-Mark-32px.png" /> View source on GitHub</a></td>
<td><a target="_blank" href="https://nbviewer.jupyter.org/github/giswqs/earthengine-py-notebooks/blob/master/Reducer/stats_of_an_image_region.ipynb"><img width=26px src="https://upload.wikimedia.org/wikipedia/commons/thumb/3/38/Jupyter_logo.svg/883px-Jupyter_logo.svg.png" />Notebook Viewer</a></td>
<td><a target="_blank" href="https://colab.research.google.com/github/giswqs/earthengine-py-notebooks/blob/master/Reducer/stats_of_an_image_region.ipynb"><img src="https://www.tensorflow.org/images/colab_logo_32px.png" /> Run in Google Colab</a></td>
</table>
"""
# %%
"""
## Install Earth Engine API and geemap
Install the [Earth Engine Python API](https://developers.google.com/earth-engine/python_install) and [geemap](https://geemap.org). The **geemap** Python package is built upon the [ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet) and [folium](https://github.com/python-visualization/folium) packages and implements several methods for interacting with Earth Engine data layers, such as `Map.addLayer()`, `Map.setCenter()`, and `Map.centerObject()`.
The following script checks if the geemap package has been installed. If not, it will install geemap, which automatically installs its [dependencies](https://github.com/giswqs/geemap#dependencies), including earthengine-api, folium, and ipyleaflet.
"""
# %%
# Installs geemap package
import subprocess
try:
import geemap
except ImportError:
print('Installing geemap ...')
subprocess.check_call(["python", '-m', 'pip', 'install', 'geemap'])
# %%
import ee
import geemap
# %%
"""
## Create an interactive map
The default basemap is `Google Maps`. [Additional basemaps](https://github.com/giswqs/geemap/blob/master/geemap/basemaps.py) can be added using the `Map.add_basemap()` function.
"""
# %%
Map = geemap.Map(center=[40,-100], zoom=4)
Map
# %%
"""
## Add Earth Engine Python script
"""
# %%
# Add Earth Engine dataset
# Load input imagery: Landsat 7 5-year composite.
image = ee.Image('LANDSAT/LE7_TOA_5YEAR/2008_2012')
# print(image.getInfo())
# Load an input region: Sierra Nevada.
region = ee.Feature(ee.FeatureCollection('EPA/Ecoregions/2013/L3') \
.filter(ee.Filter.eq('us_l3name', 'Sierra Nevada')) \
.first())
# Reduce the region. The region parameter is the Feature geometry.
meanDictionary = image.reduceRegion(**{
'reducer': ee.Reducer.mean(),
'geometry': region.geometry(),
'scale': 30,
'maxPixels': 1e9
})
# The result is a Dictionary. Print it.
Map.centerObject(region, 9)
Map.addLayer(image, {'bands': ['B4', 'B3', 'B2']}, 'Landsat-7')
Map.addLayer(ee.Image().paint(region, 1, 3), {'palette': 'green'}, 'Mean Image')
print(meanDictionary.getInfo())
# %%
"""
## Display Earth Engine data layers
"""
# %%
Map.addLayerControl() # This line is not needed for ipyleaflet-based Map.
Map