10 ts inspector

Uncomment and execute the following code block to install geemap if needed.

In [1]:

# !pip install geemap

# !pip install geemap

In [2]:

import ee
import geemap

import ee import geemap

Create an interactive map.

In [3]:

Map = geemap.Map(center=[46.9896, -99.7119], zoom=11)
Map

Map = geemap.Map(center=[46.9896, -99.7119], zoom=11) Map

Out[3]:

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

Set up a user ROI.

In [4]:

if Map.user_roi is None:
    roi = ee.Geometry.Polygon(
        [
            [
                [-99.924088, 46.87005],
                [-99.924088, 47.092566],
                [-99.41391, 47.092566],
                [-99.41391, 46.87005],
                [-99.924088, 46.87005],
            ]
        ]
    )
else:
    roi = Map.user_roi

if Map.user_roi is None: roi = ee.Geometry.Polygon( [ [ [-99.924088, 46.87005], [-99.924088, 47.092566], [-99.41391, 47.092566], [-99.41391, 46.87005], [-99.924088, 46.87005], ] ] ) else: roi = Map.user_roi

Create a timeseries ImageCollection.

In [5]:

naip_ts = geemap.naip_timeseries(roi=roi, start_year=2009, end_year=2021)

naip_ts = geemap.naip_timeseries(roi=roi, start_year=2009, end_year=2021)

Create a list of layer names to be used in the dropdow menu.

In [6]:

dates = naip_ts.aggregate_array('system:time_start')
layer_names = dates.map(lambda x: ee.Date(x).format("YYYY")).getInfo()
layer_names

dates = naip_ts.aggregate_array('system:time_start') layer_names = dates.map(lambda x: ee.Date(x).format("YYYY")).getInfo() layer_names

Out[6]:

['2009',
 '2010',
 '2012',
 '2014',
 '2015',
 '2016',
 '2017',
 '2018',
 '2019',
 '2020']

Specify visualization parameters.

In [7]:

naip_vis = {'bands': ['N', 'R', 'G']}

naip_vis = {'bands': ['N', 'R', 'G']}

Add the timeseries inspector to the map. Select the dropdown list to choose layers to display on the map.

In [8]:

Map.ts_inspector(
    left_ts=naip_ts,
    right_ts=naip_ts,
    left_names=layer_names,
    right_names=layer_names,
    left_vis=naip_vis,
    right_vis=naip_vis,
    width='110px',
)
Map

Map.ts_inspector( left_ts=naip_ts, right_ts=naip_ts, left_names=layer_names, right_names=layer_names, left_vis=naip_vis, right_vis=naip_vis, width='110px', ) Map

The folium plotting backend does not support this function.

Out[8]:

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

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Last update: 2022-03-25