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-6 !pip install geemap
-
Uncomment the following line to install geemap if needed.
-from ipyleaflet import Map, Marker, basemaps, basemap_to_tiles
-m = Map(
- basemap=basemap_to_tiles(
- basemaps.NASAGIBS.ModisTerraTrueColorCR, "2017-04-08"
- ),
- center=(52.204793, 360.121558),
- zoom=4
-)
-m.add_layer(Marker(location=(52.204793, 360.121558)))
-m
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-
-import geemap
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-geemap.show_youtube('9EUTX8j-YVM')
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-Map = geemap.Map()
-Map.split_map()
-Map
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-Map = geemap.Map()
-Map.split_map(left_layer='HYBRID', right_layer='ROADMAP')
-Map
-
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-basemaps = geemap.basemaps.keys()
-print(basemaps)
-
-
-for basemap in basemaps:
- print(basemap)
-
-
-Map = geemap.Map()
-Map.split_map(
- left_layer='NLCD 2016 CONUS Land Cover', right_layer='NLCD 2001 CONUS Land Cover'
-)
-Map
-
-
-import ee
-
-
-# https://developers.google.com/earth-engine/datasets/catalog/USGS_NLCD
-collection = ee.ImageCollection("USGS/NLCD")
-print(collection.aggregate_array('system:id').getInfo())
-
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-nlcd_2001 = ee.Image('USGS/NLCD/NLCD2001').select('landcover')
-nlcd_2016 = ee.Image('USGS/NLCD/NLCD2016').select('landcover')
-
-left_layer = geemap.ee_tile_layer(nlcd_2001, {}, 'NLCD 2001')
-right_layer = geemap.ee_tile_layer(nlcd_2016, {}, 'NLCD 2016')
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-Map = geemap.Map()
-Map.split_map(left_layer, right_layer)
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-6 Install geemap
-
- View source on GitHub
- |
-
- Notebook Viewer
- |
-
- Run in Google Colab
- |
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-!pip install geemap
-
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-Collecting nest-asyncio
- Downloading nest_asyncio-1.5.6-py3-none-any.whl (5.2 kB)
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-Collecting whitebox
- Downloading whitebox-2.1.4-py2.py3-none-any.whl (75 kB)
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-Collecting argon2-cffi-bindings
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-Building wheels for collected packages: ee-extra, sankee, pycrs
- Building wheel for ee-extra (setup.py) ... done
- Created wheel for ee-extra: filename=ee_extra-0.0.14-py3-none-any.whl size=209114 sha256=84c43ef88c7184c5afb39b6928c62fcea68f3f279cee5e9c01e3610e3f82d4b4
- Stored in directory: /root/.cache/pip/wheels/50/1f/56/c638a525bcb6972c82e422747430d756edea7d57b539229bb3
- Building wheel for sankee (setup.py) ... done
- Created wheel for sankee: filename=sankee-0.2.0-py3-none-any.whl size=28745 sha256=a84564bd97ad102e0089fcfdd93a3fc2ca133b2f39c7ddd45199fdab4ca650d7
- Stored in directory: /root/.cache/pip/wheels/36/b4/ac/84c3f06e5c44d3fe5029713232438862881e6e1f26657d5fd8
- Building wheel for pycrs (setup.py) ... done
- Created wheel for pycrs: filename=PyCRS-1.0.2-py3-none-any.whl size=32704 sha256=c1e9c2b2042507e7b2597ad26a84b80e9b854131a9e1902a46f8e4375d550aa2
- Stored in directory: /root/.cache/pip/wheels/3e/ce/32/1ec0aba6b9770681a423e82f0274c57d09ad2c20c2864901f9
-Successfully built ee-extra sankee pycrs
-Installing collected packages: traitlets, tornado, soupsieve, nest-asyncio, jedi, tinycss2, nbclient, mistune, jupyterlab-pygments, jinja2, beautifulsoup4, sniffio, nbconvert, argon2-cffi-bindings, websocket-client, prometheus-client, argon2-cffi, anyio, jupyter-server, notebook-shim, json5, xyzservices, whitebox, traittypes, ratelim, nbclassic, logzero, jupyterlab-server, ipytree, ipyfilechooser, whiteboxgui, scooby, sankee, python-box, pyshp, pycrs, jupyterlab, ipyleaflet, ipyevents, geojson, geocoder, geeadd, ffmpeg-python, ee-extra, colour, bqplot, geemap
- Attempting uninstall: traitlets
- Found existing installation: traitlets 5.1.1
- Uninstalling traitlets-5.1.1:
- Successfully uninstalled traitlets-5.1.1
- Attempting uninstall: tornado
- Found existing installation: tornado 5.1.1
- Uninstalling tornado-5.1.1:
- Successfully uninstalled tornado-5.1.1
- Attempting uninstall: mistune
- Found existing installation: mistune 0.8.4
- Uninstalling mistune-0.8.4:
- Successfully uninstalled mistune-0.8.4
- Attempting uninstall: jinja2
- Found existing installation: Jinja2 2.11.3
- Uninstalling Jinja2-2.11.3:
- Successfully uninstalled Jinja2-2.11.3
- Attempting uninstall: beautifulsoup4
- Found existing installation: beautifulsoup4 4.6.3
- Uninstalling beautifulsoup4-4.6.3:
- Successfully uninstalled beautifulsoup4-4.6.3
- Attempting uninstall: nbconvert
- Found existing installation: nbconvert 5.6.1
- Uninstalling nbconvert-5.6.1:
- Successfully uninstalled nbconvert-5.6.1
-ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
-google-colab 1.0.0 requires tornado~=5.1.0, but you have tornado 6.2 which is incompatible.
-flask 1.1.4 requires Jinja2<3.0,>=2.10.1, but you have jinja2 3.1.2 which is incompatible.
-Successfully installed anyio-3.6.1 argon2-cffi-21.3.0 argon2-cffi-bindings-21.2.0 beautifulsoup4-4.11.1 bqplot-0.12.36 colour-0.1.5 ee-extra-0.0.14 ffmpeg-python-0.2.0 geeadd-0.5.6 geemap-0.17.1 geocoder-1.38.1 geojson-2.5.0 ipyevents-2.0.1 ipyfilechooser-0.6.0 ipyleaflet-0.17.1 ipytree-0.2.2 jedi-0.18.1 jinja2-3.1.2 json5-0.9.10 jupyter-server-1.19.1 jupyterlab-3.4.8 jupyterlab-pygments-0.2.2 jupyterlab-server-2.15.2 logzero-1.7.0 mistune-2.0.4 nbclassic-0.4.4 nbclient-0.6.8 nbconvert-7.1.0 nest-asyncio-1.5.6 notebook-shim-0.1.0 prometheus-client-0.14.1 pycrs-1.0.2 pyshp-2.3.1 python-box-6.0.2 ratelim-0.1.6 sankee-0.2.0 scooby-0.6.0 sniffio-1.3.0 soupsieve-2.3.2.post1 tinycss2-1.1.1 tornado-6.2 traitlets-5.4.0 traittypes-0.2.1 websocket-client-1.4.1 whitebox-2.1.4 whiteboxgui-0.7.0 xyzservices-2022.9.0
-
-Unable to display output for mime type(s): application/vnd.colab-display-data+json6.1 Import geemap library
-The geemap Python package has two plotting backends: ipyleaflet and folium. A key difference between folium and ipyleaflet is that ipyleaflet is built upon ipywidgets and allows bidirectional communication between the front-end and the backend enabling the use of the map to capture user input, while folium is meant for displaying static data only (source). Note that Google Colab currently does not support ipyleaflet (source). Therefore, if you are using geemap with Google Colab, you should use import geemap.eefolium as geemap.
-
-
-import ee
-import geemap.eefolium as geemap6.2 Create an interactive map
-
-
-
-Map = geemap.Map()
-# Map6.3 Add Earth Engine data
-
-
-
-# Add Earth Engine dataset
-image = ee.Image('USGS/SRTMGL1_003')
-
-# Set visualization parameters.
-vis_params = {
- 'min': 0,
- 'max': 4000,
- 'palette': ['006633', 'E5FFCC', '662A00', 'D8D8D8', 'F5F5F5']}
-
-# Print the elevation of Mount Everest.
-xy = ee.Geometry.Point([86.9250, 27.9881])
-elev = image.sample(xy, 30).first().get('elevation').getInfo()
-print('Mount Everest elevation (m):', elev)
-
-# Add Earth Engine layers to Map
-Map.addLayer(image, vis_params, 'DEM')
-Map.addLayer(xy, {'color': 'red'}, 'Mount Everest')
-
-# Center the map based on an Earth Engine object or coordinates (longitude, latitude)
-# Map.centerObject(xy, 4)
-Map.setCenter(86.9250, 27.9881, 4)6.4 Display the map
-
-
-
-
-
-Map.addLayerControl()
-Map