/
ee_tile_layers.py
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/
ee_tile_layers.py
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"""Tile layers that show EE objects."""
# *******************************************************************************#
# This module contains core features features of the geemap package. #
# The Earth Engine team and the geemap community will maintain the core features.#
# *******************************************************************************#
import box
import ee
import folium
import ipyleaflet
from functools import lru_cache
from . import common
def _get_tile_url_format(ee_object, vis_params):
image = _ee_object_to_image(ee_object, vis_params)
map_id_dict = ee.Image(image).getMapId(vis_params)
return map_id_dict["tile_fetcher"].url_format
def _validate_vis_params(vis_params):
if vis_params is None:
return {}
if not isinstance(vis_params, dict):
raise TypeError("vis_params must be a dictionary")
valid_dict = vis_params.copy()
if "palette" in valid_dict:
valid_dict["palette"] = _validate_palette(valid_dict["palette"])
return valid_dict
def _ee_object_to_image(ee_object, vis_params):
if isinstance(ee_object, (ee.Geometry, ee.Feature, ee.FeatureCollection)):
features = ee.FeatureCollection(ee_object)
color = vis_params.get("color", "000000")
image_outline = features.style(
**{
"color": color,
"fillColor": "00000000",
"width": vis_params.get("width", 2),
}
)
return (
features.style(**{"fillColor": color})
.updateMask(ee.Image.constant(0.5))
.blend(image_outline)
)
elif isinstance(ee_object, ee.Image):
return ee_object
elif isinstance(ee_object, ee.ImageCollection):
return ee_object.mosaic()
raise AttributeError(
f"\n\nCannot add an object of type {ee_object.__class__.__name__} to the map."
)
def _validate_palette(palette):
if isinstance(palette, tuple):
palette = list(palette)
if isinstance(palette, box.Box):
if "default" not in palette:
raise ValueError("The provided palette Box object is invalid.")
return list(palette["default"])
if isinstance(palette, str):
return common.check_cmap(palette)
if isinstance(palette, list):
return palette
raise ValueError("The palette must be a list of colors, a string, or a Box object.")
class EEFoliumTileLayer(folium.raster_layers.TileLayer):
"""A Folium raster TileLayer that shows an EE object."""
def __init__(
self,
ee_object,
vis_params=None,
name="Layer untitled",
shown=True,
opacity=1.0,
**kwargs,
):
"""Initialize the folium tile layer.
Args:
ee_object (Collection|Feature|Image|MapId): The object to add to the map.
vis_params (dict, optional): The visualization parameters. Defaults to None.
name (str, optional): The name of the layer. Defaults to 'Layer untitled'.
shown (bool, optional): A flag indicating whether the layer should be on by default. Defaults to True.
opacity (float, optional): The layer's opacity represented as a number between 0 and 1. Defaults to 1.
"""
self.url_format = _get_tile_url_format(
ee_object, _validate_vis_params(vis_params)
)
super().__init__(
tiles=self.url_format,
attr="Google Earth Engine",
name=name,
overlay=True,
control=True,
show=shown,
opacity=opacity,
max_zoom=24,
**kwargs,
)
class EELeafletTileLayer(ipyleaflet.TileLayer):
"""An ipyleaflet TileLayer that shows an EE object."""
EE_TYPES = (
ee.Geometry,
ee.Feature,
ee.FeatureCollection,
ee.Image,
ee.ImageCollection,
)
def __init__(
self,
ee_object,
vis_params=None,
name="Layer untitled",
shown=True,
opacity=1.0,
**kwargs,
):
"""Initialize the ipyleaflet tile layer.
Args:
ee_object (Collection|Feature|Image|MapId): The object to add to the map.
vis_params (dict, optional): The visualization parameters. Defaults to None.
name (str, optional): The name of the layer. Defaults to 'Layer untitled'.
shown (bool, optional): A flag indicating whether the layer should be on by default. Defaults to True.
opacity (float, optional): The layer's opacity represented as a number between 0 and 1. Defaults to 1.
"""
self._ee_object = ee_object
self.url_format = _get_tile_url_format(
ee_object, _validate_vis_params(vis_params)
)
super().__init__(
url=self.url_format,
attribution="Google Earth Engine",
name=name,
opacity=opacity,
visible=shown,
max_zoom=24,
**kwargs,
)
@lru_cache()
def _calculate_vis_stats(self, *, bounds, bands):
"""Calculate stats used for visualization parameters.
Stats are calculated consistently with the Code Editor visualization parameters,
and are cached to avoid recomputing for the same bounds and bands.
Args:
bounds (ee.Geometry|ee.Feature|ee.FeatureCollection): The bounds to sample.
bands (tuple): The bands to sample.
Returns:
tuple: The minimum, maximum, standard deviation, and mean values across the
specified bands.
"""
stat_reducer = (
ee.Reducer.minMax()
.combine(ee.Reducer.mean().unweighted(), sharedInputs=True)
.combine(ee.Reducer.stdDev(), sharedInputs=True)
)
stats = (
self._ee_object.select(bands)
.reduceRegion(
reducer=stat_reducer,
geometry=bounds,
bestEffort=True,
maxPixels=10_000,
crs="SR-ORG:6627",
scale=1,
)
.getInfo()
)
mins, maxs, stds, means = [
{v for k, v in stats.items() if k.endswith(stat) and v is not None}
for stat in ("_min", "_max", "_stdDev", "_mean")
]
if any(len(vals) == 0 for vals in (mins, maxs, stds, means)):
raise ValueError("No unmasked pixels were sampled.")
min_val = min(mins)
max_val = max(maxs)
std_dev = sum(stds) / len(stds)
mean = sum(means) / len(means)
return (min_val, max_val, std_dev, mean)
def calculate_vis_minmax(self, *, bounds, bands=None, percent=None, sigma=None):
"""Calculate the min and max clip values for visualization.
Args:
bounds (ee.Geometry|ee.Feature|ee.FeatureCollection): The bounds to sample.
bands (list, optional): The bands to sample. If None, all bands are used.
percent (float, optional): The percent to use when stretching.
sigma (float, optional): The number of standard deviations to use when
stretching.
Returns:
tuple: The minimum and maximum values to clip to.
"""
bands = self._ee_object.bandNames() if bands is None else tuple(bands)
try:
min_val, max_val, std, mean = self._calculate_vis_stats(
bounds=bounds, bands=bands
)
except ValueError:
return (0, 0)
if sigma is not None:
stretch_min = mean - sigma * std
stretch_max = mean + sigma * std
elif percent is not None:
x = (max_val - min_val) * (1 - percent)
stretch_min = min_val + x
stretch_max = max_val - x
else:
stretch_min = min_val
stretch_max = max_val
return (stretch_min, stretch_max)