64 data catalog

In [1]:

# !pip install geemap

# !pip install geemap

In [2]:

import ee
import geemap

import ee import geemap

In [3]:

# geemap.update_package()

# geemap.update_package()

In [4]:

from geemap.datasets import DATA, get_metadata

from geemap.datasets import DATA, get_metadata

In [5]:

Map = geemap.Map()
Map

Map = geemap.Map() Map

Out[5]:

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

In [6]:

roi = ee.Geometry.Point(-122.4488, 37.7589)

roi = ee.Geometry.Point(-122.4488, 37.7589)

In [7]:

collection = (
    ee.ImageCollection(DATA.LANDSAT_LC08_C01_T1_SR)
    .filterDate('2020-01-01', '2020-12-31')
    .filterBounds(roi)
    .sort("CLOUD_COVER")
)

collection = ( ee.ImageCollection(DATA.LANDSAT_LC08_C01_T1_SR) .filterDate('2020-01-01', '2020-12-31') .filterBounds(roi) .sort("CLOUD_COVER") )

In [8]:

image = collection.first()

image = collection.first()

In [9]:

vis_params = {'min': 0, 'max': 2000, 'bands': ['B5', 'B4', 'B3'], 'gamma': 1.5}

vis_params = {'min': 0, 'max': 2000, 'bands': ['B5', 'B4', 'B3'], 'gamma': 1.5}

In [10]:

Map.addLayer(image, vis_params, "Landsat")
Map.centerObject(image)

Map.addLayer(image, vis_params, "Landsat") Map.centerObject(image)

In [11]:

get_metadata(DATA.LANDSAT_LC08_C01_T1_SR)

get_metadata(DATA.LANDSAT_LC08_C01_T1_SR)

In [12]:

get_metadata(DATA.COPERNICUS_S2_SR)

get_metadata(DATA.COPERNICUS_S2_SR)

In [13]:

get_metadata(DATA.USGS_GAP_CONUS_2011)

get_metadata(DATA.USGS_GAP_CONUS_2011)

In [14]:

get_metadata(DATA.NOAA_GFS0P25)

get_metadata(DATA.NOAA_GFS0P25)

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Last update: 2022-03-14