83 local tile

Using local raster datasets or remote Cloud Optimized GeoTIFFs (COG) with geemap

Uncomment the following line to install geemap and localtileserver if needed.

In [1]:

# !pip install geemap localtileserver

# !pip install geemap localtileserver

In [2]:

import os
import geemap

import os import geemap

Specify input raster datasets

In [3]:

out_dir = os.path.expanduser('~/Downloads')

if not os.path.exists(out_dir):
    os.makedirs(out_dir)

dem = os.path.join(out_dir, 'dem.tif')

out_dir = os.path.expanduser('~/Downloads') if not os.path.exists(out_dir): os.makedirs(out_dir) dem = os.path.join(out_dir, 'dem.tif')

Download samples raster datasets.

In [4]:

if not os.path.exists(dem):
    dem_url = 'https://drive.google.com/file/d/1vRkAWQYsLWCi6vcTMk8vLxoXMFbdMFn8/view?usp=sharing'
    geemap.download_from_gdrive(dem_url, 'dem.tif', out_dir, unzip=False)

if not os.path.exists(dem): dem_url = 'https://drive.google.com/file/d/1vRkAWQYsLWCi6vcTMk8vLxoXMFbdMFn8/view?usp=sharing' geemap.download_from_gdrive(dem_url, 'dem.tif', out_dir, unzip=False)

Create an interactive map.

In [5]:

m = geemap.Map()

m = geemap.Map()

Add local raster datasets to the map. The available palettes can be found at https://jiffyclub.github.io/palettable/

In [6]:

m.add_local_tile(dem, palette='matplotlib.Viridis_10', layer_name="DEM")

m.add_local_tile(dem, palette='matplotlib.Viridis_10', layer_name="DEM")

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Input In [6], in <cell line: 1>()
----> 1 m.add_local_tile(dem, palette='matplotlib.Viridis_10', layer_name="DEM")

File ~/.local/lib/python3.9/site-packages/geemap/foliumap.py:585, in Map.add_local_tile(self, source, band, palette, vmin, vmax, nodata, attribution, layer_name, **kwargs)
    560 def add_local_tile(
    561     self,
    562     source,
   (...)
    570     **kwargs,
    571 ):
    572     """Add a local raster dataset to the map.
    573 
    574     Args:
   (...)
    582         layer_name (str, optional): The layer name to use. Defaults to None.
    583     """
--> 585     tile, bounds = get_local_tile_layer(
    586         source,
    587         band=band,
    588         palette=palette,
    589         vmin=vmin,
    590         vmax=vmax,
    591         nodata=nodata,
    592         attribution=attribution,
    593         tile_format="folium",
    594         layer_name=layer_name,
    595         get_bounds=True,
    596         **kwargs,
    597     )
    598     tile.add_to(self)
    599     self.zoom_to_bounds(bounds)

File ~/.local/lib/python3.9/site-packages/geemap/common.py:8705, in get_local_tile_layer(source, port, debug, projection, band, palette, vmin, vmax, nodata, attribution, tile_format, layer_name, get_center, get_bounds, **kwargs)
   8702 if isinstance(palette, str):
   8703     from .colormaps import get_palette
-> 8705     palette = get_palette(palette, hashtag=True)
   8707 if tile_format not in ["ipyleaflet", "folium"]:
   8708     raise ValueError("The tile format must be either ipyleaflet or folium.")

File ~/.local/lib/python3.9/site-packages/geemap/colormaps.py:24, in get_palette(cmap_name, n_class, hashtag)
     22     colors = _palette_dict[cmap_name]
     23 else:
---> 24     cmap = plt.cm.get_cmap(cmap_name, n_class)
     25     colors = [mpl.colors.rgb2hex(cmap(i))[1:] for i in range(cmap.N)]
     26 if hashtag:

File ~/.local/lib/python3.9/site-packages/matplotlib/cm.py:286, in get_cmap(name, lut)
    284 if isinstance(name, colors.Colormap):
    285     return name
--> 286 _api.check_in_list(sorted(_cmap_registry), name=name)
    287 if lut is None:
    288     return _cmap_registry[name]

File ~/.local/lib/python3.9/site-packages/matplotlib/_api/__init__.py:129, in check_in_list(_values, _print_supported_values, **kwargs)
    127 if _print_supported_values:
    128     msg += f"; supported values are {', '.join(map(repr, values))}"
--> 129 raise ValueError(msg)

ValueError: 'matplotlib.Viridis_10' is not a valid value for name; supported values are 'Accent', 'Accent_r', 'Blues', 'Blues_r', 'BrBG', 'BrBG_r', 'BuGn', 'BuGn_r', 'BuPu', 'BuPu_r', 'CMRmap', 'CMRmap_r', 'Dark2', 'Dark2_r', 'GnBu', 'GnBu_r', 'Greens', 'Greens_r', 'Greys', 'Greys_r', 'OrRd', 'OrRd_r', 'Oranges', 'Oranges_r', 'PRGn', 'PRGn_r', 'Paired', 'Paired_r', 'Pastel1', 'Pastel1_r', 'Pastel2', 'Pastel2_r', 'PiYG', 'PiYG_r', 'PuBu', 'PuBuGn', 'PuBuGn_r', 'PuBu_r', 'PuOr', 'PuOr_r', 'PuRd', 'PuRd_r', 'Purples', 'Purples_r', 'RdBu', 'RdBu_r', 'RdGy', 'RdGy_r', 'RdPu', 'RdPu_r', 'RdYlBu', 'RdYlBu_r', 'RdYlGn', 'RdYlGn_r', 'Reds', 'Reds_r', 'Set1', 'Set1_r', 'Set2', 'Set2_r', 'Set3', 'Set3_r', 'Spectral', 'Spectral_r', 'Wistia', 'Wistia_r', 'YlGn', 'YlGnBu', 'YlGnBu_r', 'YlGn_r', 'YlOrBr', 'YlOrBr_r', 'YlOrRd', 'YlOrRd_r', 'afmhot', 'afmhot_r', 'autumn', 'autumn_r', 'binary', 'binary_r', 'bone', 'bone_r', 'brg', 'brg_r', 'bwr', 'bwr_r', 'cividis', 'cividis_r', 'cool', 'cool_r', 'coolwarm', 'coolwarm_r', 'copper', 'copper_r', 'cubehelix', 'cubehelix_r', 'flag', 'flag_r', 'gist_earth', 'gist_earth_r', 'gist_gray', 'gist_gray_r', 'gist_heat', 'gist_heat_r', 'gist_ncar', 'gist_ncar_r', 'gist_rainbow', 'gist_rainbow_r', 'gist_stern', 'gist_stern_r', 'gist_yarg', 'gist_yarg_r', 'gnuplot', 'gnuplot2', 'gnuplot2_r', 'gnuplot_r', 'gray', 'gray_r', 'hot', 'hot_r', 'hsv', 'hsv_r', 'inferno', 'inferno_r', 'jet', 'jet_r', 'magma', 'magma_r', 'nipy_spectral', 'nipy_spectral_r', 'ocean', 'ocean_r', 'pink', 'pink_r', 'plasma', 'plasma_r', 'prism', 'prism_r', 'rainbow', 'rainbow_r', 'seismic', 'seismic_r', 'spring', 'spring_r', 'summer', 'summer_r', 'tab10', 'tab10_r', 'tab20', 'tab20_r', 'tab20b', 'tab20b_r', 'tab20c', 'tab20c_r', 'terrain', 'terrain_r', 'turbo', 'turbo_r', 'twilight', 'twilight_r', 'twilight_shifted', 'twilight_shifted_r', 'viridis', 'viridis_r', 'winter', 'winter_r'

In [7]:

m

m

Out[7]:

Make this Notebook Trusted to load map: File -> Trust Notebook

Add a remote Cloud Optimized GeoTIFF(COG) to the map.

In [8]:

m = geemap.Map()

m = geemap.Map()

In [9]:

url = 'https://opendata.digitalglobe.com/events/california-fire-2020/pre-event/2018-02-16/pine-gulch-fire20/1030010076004E00.tif'

url = 'https://opendata.digitalglobe.com/events/california-fire-2020/pre-event/2018-02-16/pine-gulch-fire20/1030010076004E00.tif'

In [10]:

m.add_remote_tile(url, layer_name="CA Fire")

m.add_remote_tile(url, layer_name="CA Fire")

In [11]:

m

m

Out[11]:

Make this Notebook Trusted to load map: File -> Trust Notebook

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Last update: 2022-03-14